private void cboClassifyMethod_SelectedIndexChanged(object sender, EventArgs e)
{
IClassify classify;
if (this.bool_0)
{
classify = null;
switch (this.cboClassifyMethod.SelectedIndex)
{
case 0:
classify = new EqualIntervalClass();
goto Label_0043;
case 1:
classify = new QuantileClass();
goto Label_0043;
case 2:
classify = new NaturalBreaksClass();
goto Label_0043;
}
}
return;
Label_0043:
(this.iclassBreaksRenderer_0 as IClassBreaksUIProperties).Method = classify.ClassID;
if (this.cboClassifyNum.SelectedIndex >= 0)
{
this.method_3();
}
else
{
this.cboClassifyNum.SelectedIndex = 4;
}
}
/// <summary>
/// 设置分级算法
/// </summary>
/// <param name="classProperties">栅格分级渲染属性</param>
/// <param name="classMethod">分级算法</param>
private static void SetClassMethod(IRasterClassifyUIProperties classProperties, string classMethod)
{
//分级方法初始化
IClassifyGEN pClassifyGen;
//判断分级方法，以获取分段点
switch (classMethod)
{
case "Equal Interval":
pClassifyGen = new EqualIntervalClass();
break;
case "Natural Breaks":
pClassifyGen = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGen = new QuantileClass();
break;
case "Geometrical Interval":
pClassifyGen = new GeometricalIntervalClass();
break;
default:
pClassifyGen = new NaturalBreaksClass();
break;
}
//获取分级算法UID
classProperties.ClassificationMethod = pClassifyGen.ClassID;
}
private void classify()
{
if (layer2Symbolize == null)
{
return;
}
IFeatureClass featureClass = layer2Symbolize.FeatureClass;
ITable pTable = (ITable)featureClass;
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
pTableHistogram.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
{
pTableHistogram.NormField = strNormalizeField;
}
pTableHistogram.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram.GetHistogram(out dataValues, out dataFrequency);
//下面是分级方法，用于根据获得的值计算得出符合要求的数据
//根据条件计算出Classes和ClassesCount，numDesiredClasses为预定的分级数目
IClassifyGEN pClassify = new NaturalBreaksClass();
switch (strClassifyMethod)
{
case "等间隔分类":
pClassify = new EqualIntervalClass();
break;
//case "预定义间隔分类":
// pClassify = new DefinedIntervalClass();
// break;
case "分位数分类":
pClassify = new QuantileClass();
break;
case "自然裂点分类":
pClassify = new NaturalBreaksClass();
break;
case "标准差分类":
pClassify = new StandardDeviationClass();
break;
case "几何间隔分类":
pClassify = new GeometricalIntervalClass();
break;
default:
break;
}
int numDesiredClasses = gClassCount;
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClasses);
gClassbreaks = (double[])pClassify.ClassBreaks;
}
private void btnClassiFy_Click(object sender, EventArgs e)
{
ITable pTable = this.pLayer as ITable;
object dataValues;
object dataFrequency;
//以下代码用TableHistogram和BasicHistogram统计出Table某一字段的值和值的频率
ITableHistogram pTableHistogram;
pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Table = pTable; //需传入一个ITable
pTableHistogram.Field = this.cbbClassBreakField.Text; //统计的字段
IBasicHistogram pBasicHistogram;
pBasicHistogram = pTableHistogram as IBasicHistogram;
pBasicHistogram.GetHistogram(out dataValues, out dataFrequency);//关键
//以下代码用IClassifyGEN和EqualInterval对象,基于分段数目,生成各段的临界值,并放在一个数组当中
IClassifyGEN pClassifyGEN;
switch (this.cbbClassBreaksMethod.SelectedIndex)
{
case 0:
pClassifyGEN = new EqualIntervalClass();
break;
case 1:
pClassifyGEN = new GeometricalIntervalClass();
break;
case 2:
pClassifyGEN = new NaturalBreaksClass();
break;
case 3:
pClassifyGEN = new QuantileClass();
break;
default:
pClassifyGEN = new EqualIntervalClass();
break;
}
//double[] classes;
int classCount = int.Parse(this.cbbClassBreaksCount.Text);
pClassifyGEN.Classify(dataValues, dataFrequency, ref classCount); //用到了上面ITableHistogram生成的值和值频率数组,关键!!!!!!
this.classBreaks = pClassifyGEN.ClassBreaks as double[]; //注意,此对象下标从1开始(我觉得0为最开头,所以临界值从1开始有意义),关键!!!!!!
this.lsvClassBreaksSymbol.Items.Clear();
string currentRange;
for (int i = 0; i < classCount; i++)
{
currentRange = this.classBreaks[i].ToString() + " ～ " + this.classBreaks[i + 1].ToString();
this.lsvClassBreaksSymbol.Items.Add(currentRange);
this.lsvClassBreaksSymbol.Items[i].SubItems.Add(currentRange);
}
}
private double[] fnClassification(IFeatureLayer pFLayer, decimal NClasses, string strClassifiedField, string ClassifiedMethod)
{
try
{
IFeatureClass pFClass = pFLayer.FeatureClass;
//Create Rendering of Mean Value at Target Layer
int intBreakeCount = Convert.ToInt32(NClasses);
ITable pTable = (ITable)pFClass;
IClassifyGEN pClassifyGEN;
switch (ClassifiedMethod)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
//Need to be changed 1/29/15
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strClassifiedField;
pTableHistogram.Table = pTable;
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
object xVals, frqs;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intBreakeCount);
double[] cb = (double[])pClassifyGEN.ClassBreaks;
return(cb);
}
catch (Exception ex)
{
frmErrorLog pfrmErrorLog = new frmErrorLog(); pfrmErrorLog.ex = ex; pfrmErrorLog.ShowDialog();
return(null);
}
}
public static void classifyRender(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
try
{
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
classify = new EqualIntervalClass();
break;
case "自然断点分级":
classify = new NaturalBreaksClass();
break;
}
classify.Classify(ref numClasses);
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassField = "Value";
rasClassifyRender.ClassCount = count;
rasRender.Update();
IColor pColor;
ISimpleFillSymbol pSym;
for (int j = 0; j < count; j++)
{
pColor = ramp.get_Color(j * (ramp.Size - 1) / (count - 1));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
}
rasRender.Update();
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
catch
{
XtraMessageBox.Show("唯一值数量已达到限制（65536）");
}
}
public static void classifyRender(IFeatureLayer featLayer, string classMethod, string fieldName, IColorRamp colorRamp, int count)
{
try
{
//值分级
IBasicHistogram pBasicHis = new BasicTableHistogramClass();
ITableHistogram pTabHis = (ITableHistogram)pBasicHis;
IClassifyGEN pClassify = null;
switch (classMethod)
{
case "等间距分级":
pClassify = new EqualIntervalClass();
break;
case "自然断点分级":
pClassify = new NaturalBreaksClass();
break;
}
pTabHis.Field = fieldName;
ILayer Layer = (ILayer)featLayer;
ITable pTab = (ITable)Layer;
pTabHis.Table = pTab;
object doubleArrVal, longArrFreq;
pBasicHis.GetHistogram(out doubleArrVal, out longArrFreq);
int nDes = count;
pClassify.Classify(doubleArrVal, longArrFreq, ref nDes);
double[] ClassNum;
ClassNum = (double[])pClassify.ClassBreaks;
int ClassCountResult = ClassNum.GetUpperBound(0);
IClassBreaksRenderer pRender = new ClassBreaksRendererClass();
pRender.BreakCount = ClassCountResult;
pRender.Field = fieldName;
ISimpleFillSymbol pSym;
IColor pColor;
for (int j = 0; j < ClassCountResult; j++)
{
pColor = colorRamp.get_Color(j * (colorRamp.Size - 1) / (ClassCountResult - 1));
pRender.set_Symbol(j, getISymbolByGeomType(featLayer, pColor));
pRender.set_Break(j, ClassNum[j + 1]);
pRender.set_Label(j, ClassNum[j].ToString("0.00") + " - " + ClassNum[j + 1].ToString("0.00"));
}
IGeoFeatureLayer pGeoLyr = (IGeoFeatureLayer)Layer;
pGeoLyr.Renderer = (IFeatureRenderer)pRender;
}
catch {
XtraMessageBox.Show("嗯，哪个，就一个值，别分级了好不好^_^");
}
}
private void classify()
{
if (layer2Symbolize == null)
{
return;
}
IFeatureClass featureClass = layer2Symbolize.FeatureClass;
ITable pTable = featureClass as ITable;
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
IBasicHistogram pHistogram = pTableHistogram as IBasicHistogram;
pTableHistogram.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
{
pTableHistogram.NormField = strNormalizeField;
}
pTableHistogram.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram.GetHistogram(out dataValues, out dataFrequency);
IClassifyGEN pClassify = new NaturalBreaksClass();
switch (strClassifyMethod)
{
case "Equal Interval":
pClassify = new EqualIntervalClass();
break;
case "Quantile":
pClassify = new QuantileClass();
break;
case "Natural Breaks":
pClassify = new NaturalBreaksClass();
break;
case "Geometrical Interval":
pClassify = new GeometricalIntervalClass();
break;
default:
break;
}
int numDesiredClass = gClassCount;
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClass);
gClassbreaks = (double[])pClassify.ClassBreaks;
}
private void cboClassifyMethod_SelectedIndexChanged(object sender, EventArgs e)
{
IClassify classify;
if (this.bool_0)
{
classify = null;
switch (this.cboClassifyMethod.SelectedIndex)
{
case 0:
(this.itinColorRampRenderer_0 as IClassBreaksUIProperties).Method = new UIDClass();
this.cboClassifyNum.Enabled = false;
break;
case 1:
classify = new EqualIntervalClass();
goto Label_006D;
case 2:
classify = new QuantileClass();
goto Label_006D;
case 3:
classify = new NaturalBreaksClass();
goto Label_006D;
}
}
return;
Label_006D:
this.cboClassifyNum.Enabled = true;
(this.itinColorRampRenderer_0 as IClassBreaksUIProperties).Method = classify.ClassID;
if (this.cboClassifyNum.SelectedIndex >= 0)
{
this.method_4();
}
else
{
this.cboClassifyNum.SelectedIndex = 4;
}
}
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
if (dMinValue == 0)
{
pRasterStatistic.IgnoredValues = pRasterStatistic.Minimum;
pRasterStatistic.Recalculate();
dMinValue = pRasterStatistic.Minimum;
}
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
EqualInterval eqclassify = new EqualIntervalClass();
eqclassify.Classify(vValues, longvalues, ref numClasses);
classify = eqclassify as IClassify;
break;
case "自然断点分级":
NaturalBreaks naclassify = new NaturalBreaksClass();
naclassify.Classify(vValues, longvalues, ref numClasses);
classify = naclassify as IClassify;
break;
}
//switch (classMethod)
//{
// case "等间距分级":
// classify = new EqualIntervalClass();
// break;
// case "自然断点分级":
// classify = new NaturalBreaksClass();
// break;
//}
//classify.Classify(vValues, longvalues, ref numClasses);
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
for (int j = 0; j < count; j++)
{
IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
rasterProps.NoDataValue = 0;
pColor = ramp.get_Color(j * (ramp.Size / count));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
if (dMinValue == 0)
{
pRasterStatistic.IgnoredValues = pRasterStatistic.Minimum;
pRasterStatistic.Recalculate();
dMinValue = pRasterStatistic.Minimum;
}
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
EqualInterval eqclassify = new EqualIntervalClass();
eqclassify.Classify(vValues, longvalues, ref numClasses);
classify = eqclassify as IClassify;
break;
case "自然断点分级":
NaturalBreaks naclassify = new NaturalBreaksClass();
naclassify.Classify(vValues, longvalues, ref numClasses);
classify = naclassify as IClassify;
break;
}
//switch (classMethod)
//{
// case "等间距分级":
// classify = new EqualIntervalClass();
// break;
// case "自然断点分级":
// classify = new NaturalBreaksClass();
// break;
//}
//classify.Classify(vValues, longvalues, ref numClasses);
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
for (int j = 0; j < count; j++)
{
IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
rasterProps.NoDataValue = 0;
pColor = ramp.get_Color(j * (ramp.Size / count));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j,rasClassifyRender.get_Break(j));
rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
private void lblClassificationMethod_Click(object sender, EventArgs e)
{
if (layer2Symbolize == null)
{
return;
}
IFeatureClass featureClass = layer2Symbolize.FeatureClass;
ITable pTable = (ITable)featureClass;
ITableHistogram pTableHistogram2 = new BasicTableHistogramClass();
IBasicHistogram pHistogram2 = (IBasicHistogram)pTableHistogram2;
pTableHistogram2.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
{
pTableHistogram2.NormField = strNormalizeField;
}
pTableHistogram2.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram2.GetHistogram(out dataValues, out dataFrequency);
//下面是分级方法，用于根据获得的值计算得出符合要求的数据
//根据条件计算出Classes和ClassesCount，numDesiredClasses为预定的分级数目
IClassifyGEN pClassify = null;
pClassify = new NaturalBreaksClass();
int numDesiredClasses = gClassCount;
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClasses);
UID pUid;
pUid = new UIDClass();
pUid = pClassify.ClassID;
IClassificationDialog pClassDialog;
pClassDialog = new ClassificationDialogClass();
pClassDialog.Classification = pUid;
pClassDialog.SetHistogramData(pHistogram2 as IHistogram);
pClassDialog.ClassBreaks = pClassify.ClassBreaks;
bool ok = pClassDialog.DoModal(0);
if (ok == false)
{
return;
}
pUid = pClassDialog.Classification;
gClassbreaks = (double[])pClassDialog.ClassBreaks;
switch (pUid.Value.ToString())
{
case "{62144BE1-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "等间隔";
break;
case "{62144BE8-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "已定义的间隔";
break;
case "{62144BE9-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "分位数";
break;
case "{62144BEA-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "自然裂点";
break;
case "{DC6D8015-49C2-11D2-AAFF-00C04FA334B3}":
lblClassificationMethod.Text = "标准差";
break;
default:
break;
}
}
/// <summary>
/// 分级符号渲染矢量数据
/// </summary>
/// <param name="pFeatureLayer"></param>
/// <param name="mField"></param>
public void SimpleRenderByColor(IFeatureLayer pFeatureLayer, string mField)
{
//分5类
int breakCount = 5;
try
{
var pGeoFeatureLayer = (IGeoFeatureLayer)pFeatureLayer;
//计算最大最小值
var pTable = (ITable)pGeoFeatureLayer;
if (pTable.FindField(mField) == -1)
{
MessageBox.Show("此类型水质数据不存在");
return;
}
IQueryFilter pQueryFilter = new QueryFilterClass();
pQueryFilter.AddField("");
var pCursor = pTable.Search(pQueryFilter, true);
//获取统计结果
IDataStatistics pDataStatistics = new DataStatisticsClass();
pDataStatistics.Cursor = pCursor;
//设置要统计字段的名称
pDataStatistics.Field = mField;
//获取统计的结果
//背景色
IFillSymbol pFillSymbol = new SimpleFillSymbolClass();
pFillSymbol.Color = GetColor(0, 0, 0);
//点符号样式
ISimpleMarkerSymbol pSimpleMarkerSymbol = new SimpleMarkerSymbolClass();
pSimpleMarkerSymbol.Outline = true;
pSimpleMarkerSymbol.OutlineColor = GetColor(0, 0, 0);
//分级符号
//获取统计数据及频率
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = mField;
pTableHistogram.Table = pTable;
object dataValue, dataFrequency;
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
pHistogram.GetHistogram(out dataValue, out dataFrequency);
IClassifyGEN pClassifyGen = new NaturalBreaksClass();
//产生种类
pClassifyGen.Classify(dataValue, dataFrequency, ref breakCount);
object ob = pClassifyGen.ClassBreaks;
double[] classes = (double[])ob;
int classesCount = classes.Length;
//定义分类渲染
IClassBreaksRenderer pClassBreaksRenderer = new ClassBreaksRendererClass();
pClassBreaksRenderer.Field = mField;
pClassBreaksRenderer.BreakCount = classesCount;
pClassBreaksRenderer.SortClassesAscending = true;
pClassBreaksRenderer.MinimumBreak = classes[0];
//设置要素颜色
IColor pColor = GetColor(0, 217, 0);
for (int i = 0; i < classesCount; i++)
{
ISimpleFillSymbol pFillSymbol1 = new SimpleFillSymbolClass();
pSimpleMarkerSymbol.Color = pColor;
pFillSymbol1.Style = esriSimpleFillStyle.esriSFSSolid;
pSimpleMarkerSymbol.Size = 2 * (i + 1);
pClassBreaksRenderer.BackgroundSymbol = pFillSymbol1;
pClassBreaksRenderer.set_Symbol(i, (ISymbol)pSimpleMarkerSymbol);
pClassBreaksRenderer.set_Break(i, classes[i]);
}
pGeoFeatureLayer.Renderer = (IFeatureRenderer)pClassBreaksRenderer;
this._pMap.AddLayer(pGeoFeatureLayer);
IActiveView pActiveView = _pMap as IActiveView;
if (pActiveView != null)
{
pActiveView.PartialRefresh(esriViewDrawPhase.esriViewGeography, null, null);
pActiveView.Extent = pActiveView.FullExtent;
}
}
catch (Exception e)
{
MessageBox.Show("渲染出错!\n" + e.ToString());
}
}
private void getBreaksValues(ClassifyMethodName ClassifyMethod,ILayer layer,string fieldName,double intervl,bool bfeuq)
{
ITableHistogram tableHistogram = new BasicTableHistogramClass();
tableHistogram.Table = ((IDisplayTable)layer).DisplayTable;
tableHistogram.Field = fieldName;
object valueArray = null, freq = null;
IBasicHistogram basicHistogram = (IBasicHistogram)tableHistogram;
basicHistogram.GetHistogram(out valueArray, out freq);
IClassify classify = null;
int breakNum = (int)intervl;
//�����
switch (ClassifyMethod)
{
case ClassifyMethodName.EqualInterval:
{
EqualIntervalClass eq = new EqualIntervalClass();
eq.Classify(valueArray, freq, ref breakNum);
classify = (IClassify)eq;
break;
}
case ClassifyMethodName.StandardDeviation:
{
StandardDeviationClass sd = new StandardDeviationClass();
IStatisticsResults stat = basicHistogram as IStatisticsResults;
classify = sd as IClassify;
classify.SetHistogramData(valueArray, freq);
IDeviationInterval di = sd as IDeviationInterval;
di.DeviationInterval = 1;
di.Mean = stat.Mean;
di.StandardDev = stat.StandardDeviation;
classify.Classify(ref breakNum);
break;
}
case ClassifyMethodName.Quantile:
{
Quantile qc = new QuantileClass();
qc.Classify(valueArray, freq, ref breakNum);
classify = qc as IClassify;
break;
}
case ClassifyMethodName.NaturalBreaks:
{
NaturalBreaksClass nb = new NaturalBreaksClass();
nb.Classify(valueArray, freq, ref breakNum);
classify = nb as IClassify;
break;
}
case ClassifyMethodName.DefinedInterval:
{
DefinedIntervalClass di = new DefinedIntervalClass();
di.IntervalRange = intervl;
di.Classify(valueArray, freq, ref breakNum);
classify = di as IClassify;
break;
}
default:
{
EqualIntervalClass eq = new EqualIntervalClass();
eq.Classify(valueArray, freq, ref breakNum);
classify = (IClassify)eq;
break;
}
}
object o = classify.ClassBreaks;
System.Array breakArray = o as System.Array;
IFrequencyStatistics freqstat = basicHistogram as IFrequencyStatistics;
lscBreakValues.Items.Clear();
foreach (object oo in breakArray)
{
lscBreakValues.Items.Add(oo.ToString());
}
}
private void btnClassiFy_Click(object sender, EventArgs e)
{
ITable pTable = this.pLayer as ITable;
object dataValues;
object dataFrequency;
//以下代码用TableHistogram和BasicHistogram统计出Table某一字段的值和值的频率
ITableHistogram pTableHistogram;
pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Table = pTable;//需传入一个ITable
pTableHistogram.Field = this.cbbClassBreakField.Text;//统计的字段
IBasicHistogram pBasicHistogram;
pBasicHistogram = pTableHistogram as IBasicHistogram;
pBasicHistogram.GetHistogram(out dataValues, out dataFrequency);//关键
//以下代码用IClassifyGEN和EqualInterval对象,基于分段数目,生成各段的临界值,并放在一个数组当中
IClassifyGEN pClassifyGEN;
switch (this.cbbClassBreaksMethod.SelectedIndex)
{
case 0:
pClassifyGEN = new EqualIntervalClass();
break;
case 1:
pClassifyGEN = new GeometricalIntervalClass();
break;
case 2:
pClassifyGEN = new NaturalBreaksClass();
break;
case 3:
pClassifyGEN = new QuantileClass();
break;
default:
pClassifyGEN = new EqualIntervalClass();
break;
}
//double[] classes;
int classCount = int.Parse(this.cbbClassBreaksCount.Text);
pClassifyGEN.Classify(dataValues, dataFrequency, ref classCount);//用到了上面ITableHistogram生成的值和值频率数组,关键!!!!!!
this.classBreaks = pClassifyGEN.ClassBreaks as double[];//注意,此对象下标从1开始(我觉得0为最开头,所以临界值从1开始有意义),关键!!!!!!
this.lsvClassBreaksSymbol.Items.Clear();
string currentRange;
for (int i = 0; i < classCount; i++)
{
currentRange = this.classBreaks[i].ToString() + " ～ " + this.classBreaks[i + 1].ToString();
this.lsvClassBreaksSymbol.Items.Add(currentRange);
this.lsvClassBreaksSymbol.Items[i].SubItems.Add(currentRange);
}
}
private void btnApply_Click(object sender, EventArgs e)
{
//Choropleth mapping : Exactly same with the function in frmChoroplethwithOverlay HK102915
string strLayerName = cboSourceLayer.Text;
if (cboSourceLayer.Text == "" || cboValueField.Text == "" || cboUField.Text == "")
{
MessageBox.Show("Assign proper layer and field");
return;
}
int intLIndex = pSnippet.GetIndexNumberFromLayerName(pActiveView, strLayerName);
ILayer pLayer = mForm.axMapControl1.get_Layer(intLIndex);
IFeatureLayer pFLayer = pLayer as IFeatureLayer;
IFeatureClass pFClass = pFLayer.FeatureClass;
//Create Rendering of Mean Value at Target Layer
int intGCBreakeCount = Convert.ToInt32(nudGCNClasses.Value);
string strGCRenderField = cboValueField.Text;
IGeoFeatureLayer pGeofeatureLayer;
pGeofeatureLayer = (IGeoFeatureLayer)pFLayer;
ITable pTable = (ITable)pFClass;
IClassifyGEN pClassifyGEN;
switch (cboGCClassify.Text)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
//Need to be changed 1/29/15
ITableHistogram pTableHistogram = new TableHistogramClass();
pTableHistogram.Field = strGCRenderField;
pTableHistogram.Table = pTable;
IHistogram pHistogram = (IHistogram)pTableHistogram;
object xVals, frqs;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intGCBreakeCount);
ClassBreaksRenderer pRender = new ClassBreaksRenderer();
double[] cb = (double[])pClassifyGEN.ClassBreaks;
pRender.Field = strGCRenderField;
pRender.BreakCount = intGCBreakeCount;
pRender.MinimumBreak = cb[0];
//' create our color ramp
IAlgorithmicColorRamp pColorRamp = new AlgorithmicColorRampClass();
pColorRamp.Algorithm = esriColorRampAlgorithm.esriCIELabAlgorithm;
IRgbColor pColor1 = new RgbColor();
IRgbColor pColor2 = new RgbColor();
//Can Change the color in here!
pColor1.Red = picSymolfrom.BackColor.R;
pColor1.Green = picSymolfrom.BackColor.G;
pColor1.Blue = picSymolfrom.BackColor.B;
Boolean blnOK = true;
pColor2.Red = picSymbolTo.BackColor.R;
pColor2.Green = picSymbolTo.BackColor.G;
pColor2.Blue = picSymbolTo.BackColor.B;
pColorRamp.FromColor = pColor1;
pColorRamp.ToColor = pColor2;
pColorRamp.Size = intGCBreakeCount;
pColorRamp.CreateRamp(out blnOK);
IEnumColors pEnumColors = pColorRamp.Colors;
pEnumColors.Reset();
IRgbColor pColorOutline = new RgbColor();
//Can Change the color in here!
pColorOutline.Red = picGCLineColor.BackColor.R;
pColorOutline.Green = picGCLineColor.BackColor.G;
pColorOutline.Blue = picGCLineColor.BackColor.B;
double dblGCOutlineSize = Convert.ToDouble(nudGCLinewidth.Value);
ICartographicLineSymbol pOutLines = new CartographicLineSymbol();
pOutLines.Width = dblGCOutlineSize;
pOutLines.Color = (IColor)pColorOutline;
//' use this interface to set dialog properties
IClassBreaksUIProperties pUIProperties = (IClassBreaksUIProperties)pRender;
pUIProperties.ColorRamp = "Custom";
ISimpleFillSymbol pSimpleFillSym;
//' be careful, indices are different for the diff lists
for (int j = 0; j < intGCBreakeCount; j++)
{
pRender.Break[j] = cb[j + 1];
pRender.Label[j] = Math.Round(cb[j], 2).ToString() + " - " + Math.Round(cb[j + 1], 2).ToString();
pUIProperties.LowBreak[j] = cb[j];
pSimpleFillSym = new SimpleFillSymbolClass();
pSimpleFillSym.Color = pEnumColors.Next();
pSimpleFillSym.Outline = pOutLines;
pRender.Symbol[j] = (ISymbol)pSimpleFillSym;
}
pGeofeatureLayer.Renderer = (IFeatureRenderer)pRender;
//////////////////The Robustness
int intRoundingDigits = 2;
int intUncernBreakCount = Convert.ToInt32(nudTeNClasses.Value);
string strUncerFieldName = cboUField.Text;
int intUncernIdx = pFClass.FindField(strUncerFieldName);
int intValueIdx = pFClass.FindField(strGCRenderField);
//Calculate Robustness
//Add fld
int intTempfldIdx = 0;
string strTempfldName = txtFldName.Text;
if (chkRobustness.Checked)
{
if (pFClass.FindField(strTempfldName) == -1)
{
AddField(pFClass, strTempfldName);
}
intTempfldIdx = pFClass.FindField(strTempfldName);
}
Chart pChart = new Chart();
IFeature pFeat = null;
//IFeatureCursor pFCursor = pFClass.Search(null, false);
IFeatureCursor pFCursor = null;
if (chkRobustness.Checked)
{
pFCursor = pFClass.Update(null, false);
}
else
{
pFCursor = pFClass.Search(null, false);
}
pFeat = pFCursor.NextFeature();
double[] arrRobustness = new double[pFClass.FeatureCount(null)];
int i = 0;
while (pFeat != null)
{
for (int j = 0; j < (cb.Length - 1); j++)
{
double dblValue = Convert.ToDouble(pFeat.get_Value(intValueIdx));
double dblStd = Convert.ToDouble(pFeat.get_Value(intUncernIdx));
if (j == 0)
{
if (dblValue >= cb[j] && dblValue <= cb[j + 1])
{
double dblUpperZvalue = (cb[j + 1] - dblValue) / dblStd;
double dblUpperConfLev = pChart.DataManipulator.Statistics.NormalDistribution(dblUpperZvalue);
double dblLowerZvalue = (cb[j] - dblValue) / dblStd;
double dblLowerConfLev = pChart.DataManipulator.Statistics.NormalDistribution(dblLowerZvalue);
arrRobustness[i] = dblUpperConfLev - dblLowerConfLev;
if (chkRobustness.Checked)
{
pFeat.set_Value(intTempfldIdx, arrRobustness[i]);
}
}
}
else
{
if (dblValue > cb[j] && dblValue <= cb[j + 1])
{
double dblUpperZvalue = (cb[j + 1] - dblValue) / dblStd;
double dblUpperConfLev = pChart.DataManipulator.Statistics.NormalDistribution(dblUpperZvalue);
double dblLowerZvalue = (cb[j] - dblValue) / dblStd;
double dblLowerConfLev = pChart.DataManipulator.Statistics.NormalDistribution(dblLowerZvalue);
arrRobustness[i] = dblUpperConfLev - dblLowerConfLev;
if (chkRobustness.Checked)
{
pFeat.set_Value(intTempfldIdx, arrRobustness[i]);
}
}
}
}
if (chkRobustness.Checked)
{
pFCursor.UpdateFeature(pFeat);
}
i++;
pFeat = pFCursor.NextFeature();
}
//Define the intervals (the last class is fixed to 1)
if (intUncernBreakCount == 1)
{
return;
}
double[] arrRobustBrks = new double[intUncernBreakCount + 1];
double dblRBrksIntervals = Math.Round(1 / Convert.ToDouble(intUncernBreakCount - 1), intRoundingDigits);
arrRobustBrks[0] = 0;
for (int j = 1; j < intUncernBreakCount; j++)
{
arrRobustBrks[j] = dblRBrksIntervals * j;
}
arrRobustBrks[intUncernBreakCount] = 1;
IFeatureLayer pflUncern = new FeatureLayerClass();
pflUncern.FeatureClass = pFClass;
pflUncern.Name = "Robustness";
pflUncern.Visible = true;
IGeoFeatureLayer pGFLUncern = (IGeoFeatureLayer)pflUncern;
pFCursor = pGFLUncern.Search(null, true);
RobustnessRenderer pRobustnessRenderer = new RobustnessRenderer();
pRobustnessRenderer.arrRobustBrks = arrRobustBrks;
pRobustnessRenderer.arrRobustness = arrRobustness;
pRobustnessRenderer.dblAngle = Convert.ToDouble(nudAngleFrom.Value);
pRobustnessRenderer.dblFromSep = Convert.ToDouble(nudSeperationFrom.Value);
pRobustnessRenderer.dblLinewidth = Convert.ToDouble(nudTeLinewidth.Value);
pRobustnessRenderer.dblToSep = Convert.ToDouble(nudSeperationTo.Value);
pRobustnessRenderer.intUncernBreakCount = intUncernBreakCount;
pRobustnessRenderer.pLineColor = pSnippet.getRGB(picTeLineColor.BackColor.R, picTeLineColor.BackColor.G, picTeLineColor.BackColor.B);
IQueryFilter pQFilter = new QueryFilterClass();
pRobustnessRenderer.PrepareFilter(pFClass, pQFilter);
pRobustnessRenderer.Draw(pFCursor, esriDrawPhase.esriDPSelection, pActiveView.ScreenDisplay, null);
pRobustnessRenderer.CreateLegend();
pGFLUncern.Renderer = pRobustnessRenderer;
pActiveView.FocusMap.AddLayer(pGFLUncern as ILayer);
mForm.axMapControl1.ActiveView.Refresh();
mForm.axTOCControl1.Update();
}
private IClassBreaksRenderer CreateClassBreaksRenderer(IFeatureClass featureClass, string breakMethod)
{
ITable pTable = (ITable)featureClass;
//从pTable的strRendererField字段中得到信息给datavalues和datafrequency两个数组
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
pTableHistogram.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
{
pTableHistogram.NormField = strNormalizeField;
}
pTableHistogram.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram.GetHistogram(out dataValues, out dataFrequency);
//下面是分级方法，用于根据获得的值计算得出符合要求的数据
//根据条件计算出Classes和ClassesCount，numDesiredClasses为预定的分级数目
IClassifyGEN pClassify = null;
int numDesiredClasses = classCount;
switch (breakMethod)
{
case "等间隔":
pClassify = new EqualIntervalClass();
break;
case "已定义的间隔":
pClassify = new DefinedIntervalClass();
IIntervalRange2 intervalRange = pClassify as IIntervalRange2;
intervalRange.IntervalRange = dblDefinedInterval;
break;
case "分位数":
pClassify = new QuantileClass();
break;
case "自然裂点":
pClassify = new NaturalBreaksClass();
break;
case "标准差":
pClassify = new StandardDeviationClass();
IStatisticsResults pStatRes = pHistogram as IStatisticsResults;
IDeviationInterval pStdDev = pClassify as IDeviationInterval;
pStdDev.Mean = pStatRes.Mean;
pStdDev.StandardDev = pStatRes.StandardDeviation;
pStdDev.DeviationInterval = dblStdDevInterval;
break;
default:
break;
}
if (pClassify == null)
{
return(null);
}
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClasses);
//返回一个数组
double[] classBreaks = (double[])pClassify.ClassBreaks;
int ClassesCount = classBreaks.GetUpperBound(0);
nudClassCount.Value = ClassesCount;
IClassBreaksRenderer pClassBreaksRenderer = new ClassBreaksRendererClass();
pClassBreaksRenderer.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
{
pClassBreaksRenderer.NormField = strNormalizeField;
}
//设置着色对象的分级数目
pClassBreaksRenderer.BreakCount = ClassesCount;
pClassBreaksRenderer.SortClassesAscending = true;
if (colorRamp == null)
{
MessageBox.Show("请先选择色带！！", "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return(null);
}
//通过色带设置各级分类符号的颜色
colorRamp.Size = ClassesCount;
bool createRamp;
colorRamp.CreateRamp(out createRamp);
IEnumColors enumColors = colorRamp.Colors;
enumColors.Reset();
IColor pColor = null;
ISymbol symbol = null;
if (gloabalSymbol == null)
{
MessageBox.Show("请选择符号...", "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return(null);
}
//需要注意的是分级着色对象中的symbol和break的下标都是从0开始
for (int i = 0; i < ClassesCount; i++)
{
pColor = enumColors.Next();
switch (featureClass.ShapeType)
{
case esriGeometryType.esriGeometryPoint:
IMarkerSymbol markerSymbol = gloabalSymbol as IMarkerSymbol;
markerSymbol.Color = pColor;
symbol = markerSymbol as ISymbol;
break;
case esriGeometryType.esriGeometryPolyline:
ILineSymbol lineSymbol = gloabalSymbol as ILineSymbol;
lineSymbol.Color = pColor;
symbol = lineSymbol as ISymbol;
break;
case esriGeometryType.esriGeometryPolygon:
IFillSymbol fillSymbol = gloabalSymbol as IFillSymbol;
fillSymbol.Color = pColor;
symbol = fillSymbol as ISymbol;
break;
default:
break;
}
pClassBreaksRenderer.set_Symbol(i, symbol);
pClassBreaksRenderer.set_Break(i, classBreaks[i + 1]);
}
return(pClassBreaksRenderer);
}
private void lblClassificationMethod_Click(object sender, EventArgs e)
{
if (layer2Symbolize == null) return;
IFeatureClass featureClass = layer2Symbolize.FeatureClass;
ITable pTable = (ITable)featureClass;
ITableHistogram pTableHistogram2 = new BasicTableHistogramClass();
IBasicHistogram pHistogram2 = (IBasicHistogram)pTableHistogram2;
pTableHistogram2.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
pTableHistogram2.NormField = strNormalizeField;
pTableHistogram2.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram2.GetHistogram(out dataValues, out dataFrequency);
//下面是分级方法，用于根据获得的值计算得出符合要求的数据
//根据条件计算出Classes和ClassesCount，numDesiredClasses为预定的分级数目
IClassifyGEN pClassify = null;
pClassify = new NaturalBreaksClass();
int numDesiredClasses = gClassCount;
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClasses);
UID pUid;
pUid = new UIDClass();
pUid = pClassify.ClassID;
IClassificationDialog pClassDialog;
pClassDialog = new ClassificationDialogClass();
pClassDialog.Classification = pUid;
pClassDialog.SetHistogramData(pHistogram2 as IHistogram);
pClassDialog.ClassBreaks = pClassify.ClassBreaks;
bool ok = pClassDialog.DoModal(0);
if (ok == false) return;
pUid = pClassDialog.Classification;
gClassbreaks = (double[])pClassDialog.ClassBreaks;
switch (pUid.Value.ToString())
{
case "{62144BE1-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "等间隔";
break;
case "{62144BE8-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "已定义的间隔";
break;
case "{62144BE9-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "分位数";
break;
case "{62144BEA-E05E-11D1-AAAE-00C04FA334B3}":
lblClassificationMethod.Text = "自然裂点";
break;
case "{DC6D8015-49C2-11D2-AAFF-00C04FA334B3}":
lblClassificationMethod.Text = "标准差";
break;
default:
break;
}
}
private void EvalRobustness(double[] cb)
{
int intLIndex = m_pSnippet.GetIndexNumberFromLayerName(m_pActiveView, cboSourceLayer.Text);
ILayer pLayer = mForm.axMapControl1.get_Layer(intLIndex);
m_pFLayer = pLayer as IFeatureLayer;
IFeatureClass pFClass = m_pFLayer.FeatureClass;
string strValueFld = m_pRenderedLayer.strValueFldName;
string strUncernfld = string.Empty;
if (m_pRenderedLayer.strUncernFldName == string.Empty)
{
strUncernfld = cboUncernFld.Text;
}
else
{
strUncernfld = m_pRenderedLayer.strUncernFldName;
}
if (strUncernfld == string.Empty)
{
return;
}
int intValueIdx = pFClass.FindField(strValueFld);
int intUncernIdx = pFClass.FindField(strUncernfld);
int intClassCount = cb.Length - 1;
string strSavefldnm = txtFldName.Text;
//strTempfldName = "MinSepfave";
if (pFClass.FindField(strSavefldnm) == -1)
{
m_pSnippet.AddField(pFClass, strSavefldnm, esriFieldType.esriFieldTypeDouble);
}
int intSavefldIdx = pFClass.FindField(strSavefldnm);
int intFCounts = pFClass.FeatureCount(null);
Chart pChart = new Chart();
IFeature pFeat = null;
IFeatureCursor pFCursor = null;
pFCursor = pFClass.Update(null, false);
pFeat = pFCursor.NextFeature();
Robustness[] pRobustness = new Robustness[intFCounts];
double[] arrValue = new double[intFCounts];
int i = 0;
while (pFeat != null)
{
pRobustness[i] = new Robustness();
pRobustness[i].Robustnesses = new double[intClassCount];
double dblValue = Convert.ToDouble(pFeat.get_Value(intValueIdx));
double dblStd = Convert.ToDouble(pFeat.get_Value(intUncernIdx));
double dblEntropy = 0;
for (int j = 0; j < intClassCount; j++)
{
double dblUpperZvalue = (cb[j + 1] - dblValue) / dblStd;
double dblUpperConfLev = pChart.DataManipulator.Statistics.NormalDistribution(dblUpperZvalue);
double dblLowerZvalue = (cb[j] - dblValue) / dblStd;
double dblLowerConfLev = pChart.DataManipulator.Statistics.NormalDistribution(dblLowerZvalue);
double dblProb = dblUpperConfLev - dblLowerConfLev;
pRobustness[i].Robustnesses[j] = dblProb; //Probability of an observation to each class
if (dblProb != 0)
{
dblEntropy += dblProb * Math.Log(dblProb, 2);
}
if (j == 0)
{
if (dblValue >= cb[j] && dblValue <= cb[j + 1])
{
pRobustness[i].TargetClass = j;
}
}
else
{
if (dblValue > cb[j] && dblValue <= cb[j + 1])
{
pRobustness[i].TargetClass = j;
}
}
}
pRobustness[i].Entropy = ((double)(-1) * dblEntropy) / (Math.Log(intClassCount, 2));
if (cboMeasure.Text == "Entropy")
{
arrValue[i] = pRobustness[i].Entropy;
pFeat.set_Value(intSavefldIdx, pRobustness[i].Entropy);
}
else
{
pFeat.set_Value(intSavefldIdx, pRobustness[i].Robustnesses[pRobustness[i].TargetClass]);
arrValue[i] = pRobustness[i].Robustnesses[pRobustness[i].TargetClass];
}
pFCursor.UpdateFeature(pFeat);
pFeat = pFCursor.NextFeature();
i++;
}
//Visualization
//dblClsMean = new double[intClassCount, 3];
//double dblSumRobustness = 0;
//for (int j = 0; j < intFCounts; j++)
//{
// dblSumRobustness = dblSumRobustness + arrRobustness[j, 0];
// for (int k = 0; k < intClassCount; k++)
// {
// if (arrRobustness[j, 1] == k)
// {
// dblClsMean[k, 0] = arrRobustness[j, 0] + dblClsMean[k, 0];
// dblClsMean[k, 1] = dblClsMean[k, 1] + 1;
// }
// }
//}
//for (int k = 0; k < intClassCount; k++)
//{
// dblClsMean[k, 2] = dblClsMean[k, 0] / dblClsMean[k, 1];
//}
//dblMeanRobustness = dblSumRobustness / intFCounts;
//switch (cboGCClassify.Text)
//{
// case "Equal Interval":
// pClassifyGEN = new EqualIntervalClass();
// break;
// case "Geometrical Interval":
// pClassifyGEN = new GeometricalInterval();
// break;
// case "Natural Breaks":
// pClassifyGEN = new NaturalBreaksClass();
// break;
// case "Quantile":
// pClassifyGEN = new QuantileClass();
// break;
// case "StandardDeviation":
// pClassifyGEN = new StandardDeviationClass();
// break;
// default:
// pClassifyGEN = new NaturalBreaksClass();
// break;
//}
if (chkAddMap.Checked)
{
IClassifyGEN pClassifyGEN = new NaturalBreaksClass();
IFeatureLayer pflUncern = new FeatureLayerClass();
pflUncern.FeatureClass = pFClass;
pflUncern.Name = cboSourceLayer.Text + " " + cboMeasure.Text;
pflUncern.Visible = true;
IGeoFeatureLayer pGeofeatureLayer = (IGeoFeatureLayer)pflUncern;
ITableHistogram pTableHistogram2 = new BasicTableHistogramClass();
ITable pTable = (ITable)pFClass;
pTableHistogram2.Field = strSavefldnm;
pTableHistogram2.Table = pTable;
//IHistogram pHistogram = (IHistogram)pTableHistogram2;
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram2;
object xVals, frqs;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, 4); //Fixed Class count
double[] cb_uncern = (double[])pClassifyGEN.ClassBreaks;
if (cboMeasure.Text == "Entropy")
{
cb_uncern[1] = 0.4; cb_uncern[2] = 0.6; cb_uncern[3] = 0.75;
}
else
{
cb_uncern[1] = 0.4; cb_uncern[2] = 0.6; cb_uncern[3] = 0.75;
}
ISpacingBreaksRenderer pSpacingBrksRenderers = new SpacingBreaksRendererClass();
pSpacingBrksRenderers.arrClassBrks = cb_uncern;
pSpacingBrksRenderers.arrValue = arrValue;
if (cboMeasure.Text == "Entropy")
{
pSpacingBrksRenderers.dblFromSep = Convert.ToDouble(1);
pSpacingBrksRenderers.dblToSep = Convert.ToDouble(20);
}
else
{
pSpacingBrksRenderers.dblFromSep = Convert.ToDouble(20);
pSpacingBrksRenderers.dblToSep = Convert.ToDouble(1);
}
pSpacingBrksRenderers.dblLineAngle = Convert.ToDouble(45);
pSpacingBrksRenderers.dblLineWidth = Convert.ToDouble(0.1);
pSpacingBrksRenderers.m_pLineRgb = m_pSnippet.getRGB(0, 0, 0);
if (pSpacingBrksRenderers.m_pLineRgb == null)
{
return;
}
pSpacingBrksRenderers.strHeading = cboMeasure.Text;
pSpacingBrksRenderers.intRoundingDigits = 2;
pSpacingBrksRenderers.CreateLegend();
pGeofeatureLayer.Renderer = (IFeatureRenderer)pSpacingBrksRenderers;
m_pActiveView.FocusMap.AddLayer(pGeofeatureLayer);
m_pActiveView.Refresh();
mForm.axTOCControl1.Update();
}
}
private void classify()
{
if (layer2Symbolize == null) return;
IFeatureClass featureClass = layer2Symbolize.FeatureClass;
ITable pTable = (ITable)featureClass;
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
pTableHistogram.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
pTableHistogram.NormField = strNormalizeField;
pTableHistogram.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram.GetHistogram(out dataValues, out dataFrequency);
//下面是分级方法，用于根据获得的值计算得出符合要求的数据
//根据条件计算出Classes和ClassesCount，numDesiredClasses为预定的分级数目
IClassifyGEN pClassify = new NaturalBreaksClass();
switch (strClassifyMethod)
{
case "等间隔分类":
pClassify = new EqualIntervalClass();
break;
//case "预定义间隔分类":
// pClassify = new DefinedIntervalClass();
// break;
case "分位数分类":
pClassify = new QuantileClass();
break;
case "自然裂点分类":
pClassify = new NaturalBreaksClass();
break;
//case "标准差分类":
// pClassify = new StandardDeviationClass();
// break;
case "几何间隔分类":
pClassify = new GeometricalIntervalClass();
break;
default:
break;
}
int numDesiredClasses = gClassCount;
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClasses);
gClassbreaks = (double[])pClassify.ClassBreaks;
}
private void DrawingChoroplethmap(IFeatureLayer pFLayer, string strRenderField, decimal NClasses)
{
IFeatureClass pFClass = pFLayer.FeatureClass;
//Create Rendering of Mean Value at Target Layer
int intGCBreakeCount = Convert.ToInt32(NClasses);
IGeoFeatureLayer pGeofeatureLayer;
IFeatureLayer pflOutput = new FeatureLayerClass();
pflOutput.FeatureClass = pFClass;
pflOutput.Name = strRenderField;
pflOutput.Visible = true;
pGeofeatureLayer = (IGeoFeatureLayer)pflOutput;
ITable pTable = (ITable)pFClass;
IClassifyGEN pClassifyGEN;
switch (cboGCClassify.Text)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
ITableHistogram pTableHistogram = new TableHistogramClass();
pTableHistogram.Field = strRenderField;
pTableHistogram.Table = pTable;
IHistogram pHistogram = (IHistogram)pTableHistogram;
object xVals, frqs;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intGCBreakeCount);
ClassBreaksRenderer pRender = new ClassBreaksRenderer();
double[] cb = (double[])pClassifyGEN.ClassBreaks;
pRender.Field = strRenderField;
pRender.BreakCount = intGCBreakeCount;
pRender.MinimumBreak = cb[0];
string strColorRamp = cboColorRamp.Text;
IEnumColors pEnumColors = MultiPartColorRamp(strColorRamp, intGCBreakeCount);
pEnumColors.Reset();
IRgbColor pColorOutline = new RgbColor();
//Can Change the color in here!
pColorOutline.Red = picGCLineColor.BackColor.R;
pColorOutline.Green = picGCLineColor.BackColor.G;
pColorOutline.Blue = picGCLineColor.BackColor.B;
double dblGCOutlineSize = Convert.ToDouble(nudGCLinewidth.Value);
ICartographicLineSymbol pOutLines = new CartographicLineSymbol();
pOutLines.Width = dblGCOutlineSize;
pOutLines.Color = (IColor)pColorOutline;
//' use this interface to set dialog properties
IClassBreaksUIProperties pUIProperties = (IClassBreaksUIProperties)pRender;
pUIProperties.ColorRamp = "Custom";
ISimpleFillSymbol pSimpleFillSym;
//' be careful, indices are different for the diff lists
for (int j = 0; j < intGCBreakeCount; j++)
{
pRender.Break[j] = cb[j + 1];
pRender.Label[j] = Math.Round(cb[j], 2).ToString() + " - " + Math.Round(cb[j + 1], 2).ToString();
pUIProperties.LowBreak[j] = cb[j];
pSimpleFillSym = new SimpleFillSymbolClass();
pSimpleFillSym.Color = pEnumColors.Next();
pSimpleFillSym.Outline = pOutLines;
pRender.Symbol[j] = (ISymbol)pSimpleFillSym;
}
pGeofeatureLayer.Renderer = (IFeatureRenderer)pRender;
mForm.axMapControl1.ActiveView.FocusMap.AddLayer(pGeofeatureLayer);
}
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
try
{
//计算统计图
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
classify = new EqualIntervalClass();
break;
case "自然断点分级":
classify = new NaturalBreaksClass();
break;
}
classify.Classify(ref numClasses);
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
for (int j = 0; j < count; j++)
{
pColor = ramp.get_Color(j * (ramp.Size - 1) / (count - 1));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
//rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
//IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
//rasterProps.NoDataValue = 0;
//IRasterDisplayProps props = rasClassifyRender as IRasterDisplayProps;
//props.NoDataColor = GET(255, 255, 255);
//rasRender.Update();
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
catch
{
MessageBox.Show("唯一值数量已达到限制（65536）");
}
}
private void btnApply_Click(object sender, EventArgs e)
{
try
{
string strLayerName = cboSourceLayer.Text;
if (cboSourceLayer.Text == "" || cboValueField.Text == "" || cboUField.Text == "")
{
MessageBox.Show("Assign proper layer and field");
return;
}
int intLIndex = pSnippet.GetIndexNumberFromLayerName(pActiveView, strLayerName);
ILayer pLayer = mForm.axMapControl1.get_Layer(intLIndex);
IFeatureLayer pFLayer = pLayer as IFeatureLayer;
IFeatureClass pFClass = pFLayer.FeatureClass;
//Create Rendering of Mean Value at Target Layer
int intGCBreakeCount = Convert.ToInt32(nudGCNClasses.Value);
string strGCRenderField = cboValueField.Text;
IGeoFeatureLayer pGeofeatureLayer;
if (chkNewLayer.Checked == true)
{
IFeatureLayer pflOutput = new FeatureLayerClass();
pflOutput.FeatureClass = pFClass;
pflOutput.Name = txtNewLayer.Text;
pflOutput.Visible = true;
pGeofeatureLayer = (IGeoFeatureLayer)pflOutput;
}
else
{
pGeofeatureLayer = (IGeoFeatureLayer)pFLayer;
}
ITable pTable = (ITable)pFClass;
IClassifyGEN pClassifyGEN;
switch (cboGCClassify.Text)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
//Need to be changed 1/29/15
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strGCRenderField;
pTableHistogram.Table = pTable;
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
object xVals, frqs;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intGCBreakeCount);
ClassBreaksRenderer pRender = new ClassBreaksRenderer();
double[] cb = (double[])pClassifyGEN.ClassBreaks;
pRender.Field = strGCRenderField;
pRender.BreakCount = intGCBreakeCount;
pRender.MinimumBreak = cb[0];
//' create our color ramp
IAlgorithmicColorRamp pColorRamp = new AlgorithmicColorRampClass();
pColorRamp.Algorithm = esriColorRampAlgorithm.esriCIELabAlgorithm;
IRgbColor pColor1 = new RgbColor();
IRgbColor pColor2 = new RgbColor();
//Can Change the color in here!
pColor1.Red = picSymolfrom.BackColor.R;
pColor1.Green = picSymolfrom.BackColor.G;
pColor1.Blue = picSymolfrom.BackColor.B;
Boolean blnOK = true;
pColor2.Red = picSymbolTo.BackColor.R;
pColor2.Green = picSymbolTo.BackColor.G;
pColor2.Blue = picSymbolTo.BackColor.B;
pColorRamp.FromColor = pColor1;
pColorRamp.ToColor = pColor2;
pColorRamp.Size = intGCBreakeCount;
pColorRamp.CreateRamp(out blnOK);
IEnumColors pEnumColors = pColorRamp.Colors;
pEnumColors.Reset();
IRgbColor pColorOutline = new RgbColor();
//Can Change the color in here!
pColorOutline.Red = picGCLineColor.BackColor.R;
pColorOutline.Green = picGCLineColor.BackColor.G;
pColorOutline.Blue = picGCLineColor.BackColor.B;
double dblGCOutlineSize = Convert.ToDouble(nudGCLinewidth.Value);
ICartographicLineSymbol pOutLines = new CartographicLineSymbol();
pOutLines.Width = dblGCOutlineSize;
pOutLines.Color = (IColor)pColorOutline;
//' use this interface to set dialog properties
IClassBreaksUIProperties pUIProperties = (IClassBreaksUIProperties)pRender;
pUIProperties.ColorRamp = "Custom";
ISimpleFillSymbol pSimpleFillSym;
//' be careful, indices are different for the diff lists
for (int j = 0; j < intGCBreakeCount; j++)
{
pRender.Break[j] = cb[j + 1];
pRender.Label[j] = Math.Round(cb[j], 2).ToString() + " - " + Math.Round(cb[j + 1], 2).ToString();
pUIProperties.LowBreak[j] = cb[j];
pSimpleFillSym = new SimpleFillSymbolClass();
pSimpleFillSym.Color = pEnumColors.Next();
pSimpleFillSym.Outline = pOutLines;
pRender.Symbol[j] = (ISymbol)pSimpleFillSym;
}
pGeofeatureLayer.Renderer = (IFeatureRenderer)pRender;
if (chkNewLayer.Checked == true)
{
mForm.axMapControl1.ActiveView.FocusMap.AddLayer(pGeofeatureLayer);
}
////* Uncertainty Part *////
//Declare variables in if parts
if (tcUncern.SelectedIndex == 0) //Graduated Color
{
int intUncernBreakCount = Convert.ToInt32(nudCoNClasses.Value);
string strUncerFieldName = cboUField.Text;
IFeatureLayer pflUncern = new FeatureLayerClass();
pflUncern.FeatureClass = pFClass;
pflUncern.Name = cboSourceLayer.Text + " Uncertainty";
pflUncern.Visible = true;
IGeoFeatureLayer pGFLUncern = (IGeoFeatureLayer)pflUncern;
switch (cboTeClassify.Text)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
//Need to be changed 1/29/15
pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strUncerFieldName;
pTableHistogram.Table = pTable;
pHistogram = (IBasicHistogram)pTableHistogram;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intUncernBreakCount);
pRender = new ClassBreaksRenderer();
cb = (double[])pClassifyGEN.ClassBreaks;
pRender.Field = strUncerFieldName;
pRender.BreakCount = intUncernBreakCount;
pRender.MinimumBreak = cb[0];
IClassBreaksUIProperties pUIColProperties = (IClassBreaksUIProperties)pRender;
pUIColProperties.ColorRamp = "Custom";
pColorRamp = new AlgorithmicColorRampClass();
pColorRamp.Algorithm = esriColorRampAlgorithm.esriCIELabAlgorithm;
pColor1 = new RgbColor();
pColor2 = new RgbColor();
//Can Change the color in here!
pColor1 = pSnippet.getRGB(picCoColorFrom.BackColor.R, picCoColorFrom.BackColor.G, picCoColorFrom.BackColor.B);
pColor2 = pSnippet.getRGB(picCoColorTo.BackColor.R, picCoColorTo.BackColor.G, picCoColorTo.BackColor.B);
if (pColor1 == null || pColor2 == null)
{
return;
}
blnOK = true;
pColorRamp.FromColor = pColor1;
pColorRamp.ToColor = pColor2;
pColorRamp.Size = intUncernBreakCount;
pColorRamp.CreateRamp(out blnOK);
pEnumColors = pColorRamp.Colors;
pEnumColors.Reset();
pColorOutline = pSnippet.getRGB(picCoLineColor.BackColor.R, picCoLineColor.BackColor.G, picCoLineColor.BackColor.B);
if (pColorOutline == null)
{
return;
}
double dblCoOutlineSize = Convert.ToDouble(nudCoLinewidth.Value);
pOutLines = new CartographicLineSymbol();
pOutLines.Width = dblCoOutlineSize;
pOutLines.Color = (IColor)pColorOutline;
//' use this interface to set dialog properties
pUIColProperties = (IClassBreaksUIProperties)pRender;
pUIColProperties.ColorRamp = "Custom";
ISimpleMarkerSymbol pSimpleMarkerSym;
double dblCoSymSize = Convert.ToDouble(nudCoSymbolSize.Value);
//' be careful, indices are different for the diff lists
for (int j = 0; j < intUncernBreakCount; j++)
{
pRender.Break[j] = cb[j + 1];
pRender.Label[j] = Math.Round(cb[j], 2).ToString() + " - " + Math.Round(cb[j + 1], 2).ToString();
pUIColProperties.LowBreak[j] = cb[j];
pSimpleMarkerSym = new SimpleMarkerSymbolClass();
pSimpleMarkerSym.Size = dblCoSymSize;
pSimpleMarkerSym.Color = pEnumColors.Next();
pSimpleMarkerSym.Outline = true;
pSimpleMarkerSym.OutlineColor = pColorOutline;
pSimpleMarkerSym.OutlineSize = dblCoOutlineSize;
pRender.Symbol[j] = (ISymbol)pSimpleMarkerSym;
}
pGFLUncern.Renderer = (IFeatureRenderer)pRender;
mForm.axMapControl1.ActiveView.FocusMap.AddLayer(pGFLUncern);
}
else if (tcUncern.SelectedIndex == 1) //Texture
{
//Create Rendering of Uncertainty at Target Layer
int intUncernBreakCount = Convert.ToInt32(nudTeNClasses.Value);
string strUncerFieldName = cboUField.Text;
IFeatureLayer pflUncern = new FeatureLayerClass();
pflUncern.FeatureClass = pFClass;
pflUncern.Name = cboSourceLayer.Text + " Uncertainty";
pflUncern.Visible = true;
IGeoFeatureLayer pGFLUncern = (IGeoFeatureLayer)pflUncern;
switch (cboTeClassify.Text)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
//Need to be changed 1/29/15
pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strUncerFieldName;
pTableHistogram.Table = pTable;
pHistogram = (IBasicHistogram)pTableHistogram;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intUncernBreakCount);
pRender = new ClassBreaksRenderer();
cb = (double[])pClassifyGEN.ClassBreaks;
pRender.Field = strUncerFieldName;
pRender.BreakCount = intUncernBreakCount;
pRender.MinimumBreak = cb[0];
IClassBreaksUIProperties pUITexProperties = (IClassBreaksUIProperties)pRender;
pUITexProperties.ColorRamp = "Custom";
ILineFillSymbol pLineFillSym = new LineFillSymbolClass();
double dblFromSep = Convert.ToDouble(nudSeperationFrom.Value);
double dblToSep = Convert.ToDouble(nudSeperationTo.Value);
double dblInstantSep = (dblFromSep - dblToSep) / Convert.ToDouble(intUncernBreakCount - 1);
double dblFromAngle = Convert.ToDouble(nudAngleFrom.Value);
double dblToAngle = Convert.ToDouble(nudAngleFrom.Value); // Remove the angle part (04/16)
double dblInstantAngle = (dblToAngle - dblFromAngle) / Convert.ToDouble(intUncernBreakCount - 1);
double dblLinewidth = Convert.ToDouble(nudTeLinewidth.Value);
IRgbColor pLineColor = new RgbColor();
pLineColor.Red = picTeLineColor.BackColor.R;
pLineColor.Green = picTeLineColor.BackColor.G;
pLineColor.Blue = picTeLineColor.BackColor.B;
//' be careful, indices are different for the diff lists
for (int j = 0; j < intUncernBreakCount; j++)
{
pRender.Break[j] = cb[j + 1];
pRender.Label[j] = Math.Round(cb[j], 5).ToString() + " - " + Math.Round(cb[j + 1], 5).ToString();
pUITexProperties.LowBreak[j] = cb[j];
pLineFillSym = new LineFillSymbolClass();
pLineFillSym.Angle = dblFromAngle + (dblInstantAngle * Convert.ToDouble(j));
pLineFillSym.Color = pLineColor;
pLineFillSym.Separation = dblFromSep - (dblInstantSep * Convert.ToDouble(j));
pLineFillSym.LineSymbol.Width = dblLinewidth;
pRender.Symbol[j] = (ISymbol)pLineFillSym;
}
pGFLUncern.Renderer = (IFeatureRenderer)pRender;
mForm.axMapControl1.ActiveView.FocusMap.AddLayer(pGFLUncern);
}
else if (tcUncern.SelectedIndex == 2) //For Proportional Symbols
{
string strUncerFieldName = cboUField.Text;
double dblMinPtSize = Convert.ToDouble(nudProSymbolSize.Value);
double dblLineWidth = Convert.ToDouble(nudProLinewidth.Value);
IFeatureLayer pflUncern = new FeatureLayerClass();
pflUncern.FeatureClass = pFClass;
pflUncern.Name = cboSourceLayer.Text + " Uncertainty";
pflUncern.Visible = true;
//Find Fields
int intUncernIdx = pTable.FindField(strUncerFieldName);
//Find Min value
//Set to initial value for min
IField pUncernField = pTable.Fields.get_Field(intUncernIdx);
ICursor pCursor = pTable.Search(null, false);
IDataStatistics pDataStat = new DataStatisticsClass();
pDataStat.Field = pUncernField.Name;
pDataStat.Cursor = pCursor;
IStatisticsResults pStatResults = pDataStat.Statistics;
double dblMinValue = pStatResults.Minimum;
double dblMaxValue = pStatResults.Maximum;
pCursor.Flush();
IRgbColor pSymbolRgb = pSnippet.getRGB(picProSymbolColor.BackColor.R, picProSymbolColor.BackColor.G, picProSymbolColor.BackColor.B);
if (pSymbolRgb == null)
{
return;
}
IRgbColor pLineRgb = pSnippet.getRGB(picProiLineColor.BackColor.R, picProiLineColor.BackColor.G, picProiLineColor.BackColor.B);
if (pLineRgb == null)
{
return;
}
ISimpleMarkerSymbol pSMarkerSym = new SimpleMarkerSymbolClass();
pSMarkerSym.Style = esriSimpleMarkerStyle.esriSMSCircle;
pSMarkerSym.Size = dblMinPtSize;
pSMarkerSym.OutlineSize = dblLineWidth;
pSMarkerSym.Outline = true;
pSMarkerSym.OutlineColor = (IColor)pLineRgb;
pSMarkerSym.Color = (IColor)pSymbolRgb;
IGeoFeatureLayer pGFLUncern = (IGeoFeatureLayer)pflUncern;
IProportionalSymbolRenderer pUncernRender = new ProportionalSymbolRendererClass();
pUncernRender.LegendSymbolCount = 2; //Need to be changed 0219
pUncernRender.Field = strUncerFieldName;
pUncernRender.MaxDataValue = dblMaxValue;
pUncernRender.MinDataValue = dblMinValue;
pUncernRender.MinSymbol = (ISymbol)pSMarkerSym;
pUncernRender.ValueUnit = esriUnits.esriUnknownUnits;
pUncernRender.BackgroundSymbol = null;
pUncernRender.CreateLegendSymbols();
pGFLUncern.Renderer = (IFeatureRenderer)pUncernRender;
mForm.axMapControl1.ActiveView.FocusMap.AddLayer(pGFLUncern);
}
else if (tcUncern.SelectedIndex == 3) // Bar
{
string strUncerFieldName = cboUField.Text;
double dblMaxLength = Convert.ToDouble(nudMaxBarHeight.Value);
double dblBarWidth = Convert.ToDouble(nudBarWidth.Value);
IFeatureLayer pflUncern = new FeatureLayerClass();
pflUncern.FeatureClass = pFClass;
pflUncern.Name = cboSourceLayer.Text + " Uncertainty";
pflUncern.Visible = true;
int intUncernIdx = pTable.FindField(strUncerFieldName);
IField pUncernField = pTable.Fields.get_Field(intUncernIdx);
ICursor pCursor = pTable.Search(null, false);
IDataStatistics pDataStat = new DataStatisticsClass();
pDataStat.Field = pUncernField.Name;
pDataStat.Cursor = pCursor;
IStatisticsResults pStatResults = pDataStat.Statistics;
double dblMaxValue = pStatResults.Maximum;
pCursor.Flush();
IChartRenderer chartRenderer = new ChartRendererClass();
IRendererFields rendererFields = chartRenderer as IRendererFields;
rendererFields.AddField(strUncerFieldName);
IBarChartSymbol barChartSymbol = new BarChartSymbolClass();
barChartSymbol.Width = dblBarWidth;
IMarkerSymbol markerSymbol = barChartSymbol as IMarkerSymbol;
markerSymbol.Size = dblMaxLength;
IChartSymbol chartSymbol = barChartSymbol as IChartSymbol;
chartSymbol.MaxValue = dblMaxValue;
ISymbolArray symbolArray = barChartSymbol as ISymbolArray;
IFillSymbol fillSymbol = new SimpleFillSymbolClass();
fillSymbol.Color = pSnippet.getRGB(picBarSymCol.BackColor.R, picBarSymCol.BackColor.G, picBarSymCol.BackColor.B);
if (fillSymbol.Color == null)
{
return;
}
symbolArray.AddSymbol(fillSymbol as ISymbol);
if (chk3D.Checked)
{
I3DChartSymbol p3DChartSymbol = barChartSymbol as I3DChartSymbol;
p3DChartSymbol.Display3D = true;
p3DChartSymbol.Thickness = 3;
}
chartRenderer.ChartSymbol = barChartSymbol as IChartSymbol;
SimpleFillSymbol pBaseFillSym = new SimpleFillSymbolClass();
//pBaseFillSym.Color = pSnippet.getRGB(picBarSymCol.BackColor.R, picBarSymCol.BackColor.G, picBarSymCol.BackColor.B);
//chartRenderer.BaseSymbol = pBaseFillSym as ISymbol;
chartRenderer.UseOverposter = false;
chartRenderer.CreateLegend();
IGeoFeatureLayer pGFLUncern = (IGeoFeatureLayer)pflUncern;
pGFLUncern.Renderer = (IFeatureRenderer)chartRenderer;
mForm.axMapControl1.ActiveView.FocusMap.AddLayer(pGFLUncern);
}
#region illumination
//This function is not applied in this version. 032317 HK
//}
// else if (tcUncern.SelectedIndex == 4) //illumination
// {
// frmProgress pfrmProgress = new frmProgress();
// pfrmProgress.lblStatus.Text = "Processing:";
// pfrmProgress.pgbProgress.Style = ProgressBarStyle.Marquee;
// pfrmProgress.Show();
// string strUncerFieldName = cboUField.Text;
// IGeoDataset geoDataset_output = createRasterfromPolygon(pFClass, strUncerFieldName, pFLayer, 100);
// double altitude = Convert.ToDouble(nudAltitude.Value);
// double azimuth = Convert.ToDouble(nudAzimuth.Value);
// object zFactor = Convert.ToDouble(nudZFactor.Value);
// ISurfaceOp2 pSurfOP = new RasterSurfaceOpClass();
// IRaster pOutputDS = (IRaster)pSurfOP.HillShade(geoDataset_output, azimuth, altitude, true, ref zFactor);
// ((IDataset)geoDataset_output).Delete();
// // Create a raster for viewing
// ESRI.ArcGIS.Carto.IRasterLayer rasterLayer = new ESRI.ArcGIS.Carto.RasterLayerClass();
// rasterLayer.CreateFromRaster(pOutputDS);
// //Calculate hillshade value at slope 0 to set as background value
// double dblRadian = (Math.PI / 180) * (90 - altitude);
// double dblBackValue = Math.Truncate(255 * Math.Cos(dblRadian));
// IRasterStretch pRasterStretch = new RasterStretchColorRampRendererClass();
// IColor pColor = new RgbColorClass();
// pColor.NullColor = true;
// pColor.Transparency = 0;
// pRasterStretch.Background = true;
// pRasterStretch.BackgroundColor = pColor;
// pRasterStretch.set_BackgroundValues(ref dblBackValue);
// rasterLayer.Name = "Uncertainty of " + strGCRenderField;
// rasterLayer.Renderer = pRasterStretch as IRasterRenderer;
// rasterLayer.Renderer.Update();
// //Apply Transparency
// ILayerEffects pLayerEffect = (ILayerEffects)rasterLayer;
// pLayerEffect.Transparency = Convert.ToInt16(nudTransparent.Value);
// pfrmProgress.Close();
// // Add the raster to the map
// pActiveView.FocusMap.AddLayer(rasterLayer);
// }
// mForm.axMapControl1.ActiveView.Refresh();
// mForm.axTOCControl1.Update();
#endregion
}
catch (Exception ex)
{
frmErrorLog pfrmErrorLog = new frmErrorLog(); pfrmErrorLog.ex = ex; pfrmErrorLog.ShowDialog();
return;
}
}
//public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp,double minValue)
//{
// IRasterBand band = GetBand(rastlayer);
// if (band.Histogram == null)
// {
// band.ComputeStatsAndHist();
// }
// IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
// IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
// rasRender.Raster = rastlayer.Raster;
// rasRender.Update();
// int numClasses = count;
// IRasterHistogram pRasterHistogram = band.Histogram;
// double[] dblValues = pRasterHistogram.Counts as double[];
// int intValueCount = dblValues.GetUpperBound(0) + 1;
// double[] vValues = new double[intValueCount];
// IRasterStatistics pRasterStatistic = band.Statistics;
// //double dMaxValue = pRasterStatistic.Maximum;
// double dMaxValue = minValue;
// double dMinValue = pRasterStatistic.Minimum;
// double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
// for (int i = 0; i < intValueCount; i++)
// {
// vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
// }
// long[] longvalues = new long[dblValues.Length];
// for (int i = 0; i <= dblValues.Length - 1; i++)
// {
// longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
// }
// //IClassifyGEN classify = null;
// IClassify classify = null;
// switch (classMethod)
// {
// case "等间距分级":
// EqualInterval eqclassify = new EqualIntervalClass();
// eqclassify.Classify(vValues, longvalues, ref numClasses);
// classify = eqclassify as IClassify;
// break;
// case "自然断点分级":
// NaturalBreaks naclassify = new NaturalBreaksClass();
// naclassify.Classify(vValues, longvalues, ref numClasses);
// classify = naclassify as IClassify;
// break;
// }
// //switch (classMethod)
// //{
// // case "等间距分级":
// // classify = new EqualIntervalClass();
// // break;
// // case "自然断点分级":
// // classify = new NaturalBreaksClass();
// // break;
// //}
// //classify.Classify(vValues, longvalues, ref numClasses);
// double[] Classes = classify.ClassBreaks as double[];
// UID pUid = classify.ClassID;
// IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
// rasClassifyUI.ClassificationMethod = pUid;
// rasClassifyRender.ClassCount = count;
// IColor pColor;
// ISimpleFillSymbol pSym;
// for (int j = 0; j < count; j++)
// {
// pColor = ramp.get_Color(j * (ramp.Size / count));
// pSym = new SimpleFillSymbolClass();
// pSym.Color = pColor;
// rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
// rasRender.Update();
// if (Classes[j] == 0)
// {
// rasClassifyRender.set_Label(j, Classes[j].ToString() + "-" + Classes[j + 1].ToString("0.000"));
// rasRender.Update();
// }
// else
// {
// rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
// rasRender.Update();
// }
// }
// rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
try
{ //进行唯一值判断
IUniqueValues values = new UniqueValuesClass();
IRasterCalcUniqueValues unique = new RasterCalcUniqueValuesClass();
unique.AddFromRaster(rastlayer.Raster, 0, values);
int uniquecount = values.get_UniqueCount(0);
//计算统计图
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
if (dMinValue == 0)
{
pRasterStatistic.IgnoredValues = pRasterStatistic.Minimum;
pRasterStatistic.Recalculate();
dMinValue = pRasterStatistic.Minimum;
}
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
EqualInterval eqclassify = new EqualIntervalClass();
eqclassify.Classify(vValues, longvalues, ref numClasses);
classify = eqclassify as IClassify;
break;
case "自然断点分级":
NaturalBreaks naclassify = new NaturalBreaksClass();
naclassify.Classify(vValues, longvalues, ref numClasses);
classify = naclassify as IClassify;
break;
}
#region
//switch (classMethod)
//{
// case "等间距分级":
// classify = new EqualIntervalClass();
// break;
// case "自然断点分级":
// classify = new NaturalBreaksClass();
// break;
//}
//classify.Classify(vValues, longvalues, ref numClasses);
#endregion
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
//排除数值
double[] exdouble = new double[2] { 0, Classes[0] };
IRasterDataExclusion ex = rasClassifyRender as IRasterDataExclusion;
ex.ExcludeValues = exdouble;
ex.ExcludeColor = GET(255, 255, 255);
for (int j = 0; j < count; j++)
{
pColor = ramp.get_Color(j * (ramp.Size / count));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
//IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
//rasterProps.NoDataValue = 0;
//IRasterDisplayProps props = rasClassifyRender as IRasterDisplayProps;
//props.NoDataColor = GET(255, 255, 255);
//rasRender.Update();
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
catch(Exception ex)
{
//MessageBox.Show(ex.ToString());
if (ex.ToString().Contains("唯一值过多"))
{
MessageBox.Show("唯一值数量已达到限制（65536）");
}
else
{
MessageBox.Show("还未计算唯一值，进行唯一值计算！");
}
}
//catch
//{
// MessageBox.Show("数据需要先计算统计值，请点击确定进行计算！");
//}
}
public void LayerRender()
{
try
{
//值分级
IBasicHistogram pBasicHis = new BasicTableHistogramClass();
ITableHistogram pTabHis = (ITableHistogram)pBasicHis;
IClassifyGEN pClassify = null;
switch (classname)
{
case "自然断点分级":
pClassify = new NaturalBreaksClass();
break;
case "等间距分级":
pClassify = new EqualIntervalClass();
break;
}
pTabHis.Field = FiledName;
//IGeoFeatureLayer geolayer = (IGeoFeatureLayer)Layer;
ITable pTab = (ITable)Layer;
pTabHis.Table = pTab;
object doubleArrVal, longArrFreq;
pBasicHis.GetHistogram(out doubleArrVal, out longArrFreq);
int nDes = count;
pClassify.Classify(doubleArrVal, longArrFreq, ref nDes);
object classes = pClassify.ClassBreaks;
double[] ClassNum;
ClassNum = (double[])pClassify.ClassBreaks;
int ClassCountResult = ClassNum.GetUpperBound(0);
IClassBreaksRenderer pRender = new ClassBreaksRendererClass();
pRender.BreakCount = ClassCountResult;
pRender.Field = FiledName;
ISimpleFillSymbol pSym;
IColor pColor;
for (int j = 0; j < ClassCountResult; j++)
{
pColor = ramp.get_Color(j * (ramp.Size / ClassCountResult));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
pRender.set_Symbol(j, (ISymbol)pSym);
pRender.set_Break(j, ClassNum[j + 1]);
if (ClassNum[j].ToString().Contains("."))
{
pRender.set_Label(j, ClassNum[j].ToString("0.000") + " - " + ClassNum[j + 1].ToString("0.000"));
}
else
{
pRender.set_Label(j, ClassNum[j].ToString() + " - " + ClassNum[j + 1].ToString());
}
}
IGeoFeatureLayer pGeoLyr = (IGeoFeatureLayer)Layer;
pGeoLyr.Renderer = (IFeatureRenderer)pRender;
axmapcontrol.ActiveView.PartialRefresh(esriViewDrawPhase.esriViewGeography, null, null);
axtoccontrol.Update();
}
catch (Exception e)
{
MessageBox.Show(e.Message);
}
}
private void DrawCCMaps()
{
m_intClassNumber = Convert.ToInt32(nudGCNClasses.Value);
IFeatureClass pFClass = pFLayer.FeatureClass;
//Determine Class Breaks for variable
int intValueFldIdx = pFClass.FindField(strVarFldName);
ITable pTable = (ITable)pFClass;
IClassifyGEN pClassifyGEN = null;
switch (cboGCClassify.Text)
{
case "Equal Interval":
pClassifyGEN = new EqualIntervalClass();
break;
case "Geometrical Interval":
pClassifyGEN = new GeometricalInterval();
break;
case "Natural Breaks":
pClassifyGEN = new NaturalBreaksClass();
break;
case "Quantile":
pClassifyGEN = new QuantileClass();
break;
case "StandardDeviation":
pClassifyGEN = new StandardDeviationClass();
break;
default:
pClassifyGEN = new NaturalBreaksClass();
break;
}
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strVarFldName;
pTableHistogram.Table = pTable;
//IHistogram pHistogram = (IHistogram)pTableHistogram2;
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
////Not working in ArcGIS 10.5 022417 HK
//ITableHistogram pTableHistogram = new TableHistogramClass();
//pTableHistogram.Field = strVarFldName;
//pTableHistogram.Table = pTable;
//IHistogram pHistogram = (IHistogram)pTableHistogram;
object xVals, frqs;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, m_intClassNumber);
double[] cb = (double[])pClassifyGEN.ClassBreaks;
//Class Determinations for vertical and horizontal axis
if (m_VerticalBreaks == null)
{
pClassifyGEN = new QuantileClass(); //Using Quatile
pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strVerConFldName;
pTableHistogram.Table = pTable;
pHistogram = (IBasicHistogram)pTableHistogram;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intVerCnt);
m_VerticalBreaks = (double[])pClassifyGEN.ClassBreaks;
}
if (m_HorizontalBreaks == null)
{
pClassifyGEN = new QuantileClass(); //Using Quatile
pTableHistogram = new BasicTableHistogramClass();
pTableHistogram.Field = strHorConFldName;
pTableHistogram.Table = pTable;
pHistogram = (IBasicHistogram)pTableHistogram;
pHistogram.GetHistogram(out xVals, out frqs);
pClassifyGEN.Classify(xVals, frqs, intHorCnt);
m_HorizontalBreaks = (double[])pClassifyGEN.ClassBreaks;
}
//Create Renderer
IClassBreaksRenderer pRender = new ClassBreaksRenderer();
pRender.Field = strVarFldName;
pRender.BreakCount = m_intClassNumber;
pRender.MinimumBreak = cb[0];
string strColorRamp = cboColorRamp.Text;
IEnumColors pEnumColors = MultiPartColorRamp(strColorRamp, "CIE Lab", m_intClassNumber);
pEnumColors.Reset();
int[,] arrColors = new int[m_intClassNumber, 3];
for (int k = 0; k < m_intClassNumber; k++)
{
IColor pColor = pEnumColors.Next();
IRgbColor pRGBColor = new RgbColorClass();
pRGBColor.RGB = pColor.RGB;
arrColors[k, 0] = pRGBColor.Red;
arrColors[k, 1] = pRGBColor.Green;
arrColors[k, 2] = pRGBColor.Blue;
}
pEnumColors.Reset();
IRgbColor pColorOutline = new RgbColor();
//Can Change the color in here!
pColorOutline = m_pSnippet.getRGB(picOutlineColor.BackColor.R, picOutlineColor.BackColor.G, picOutlineColor.BackColor.B);
double dblGCOutlineSize = Convert.ToDouble(nudOutlinewidth.Value);
ICartographicLineSymbol pOutLines = new CartographicLineSymbol();
pOutLines.Width = dblGCOutlineSize;
pOutLines.Color = (IColor)pColorOutline;
//' use this interface to set dialog properties
IClassBreaksUIProperties pUIProperties = (IClassBreaksUIProperties)pRender;
pUIProperties.ColorRamp = "Custom";
ISimpleFillSymbol pSimpleFillSym;
pEnumColors.Reset();
double dblAdding = Math.Pow(0.1, m_intRounding);
for (int j = 0; j < m_intClassNumber; j++)
{
pRender.Break[j] = cb[j + 1];
if (j == 0)
{
pRender.Label[j] = Math.Round(cb[j], m_intRounding).ToString("N" + m_intRounding.ToString()) + " - " + Math.Round(cb[j + 1], 2).ToString("N" + m_intRounding.ToString());
}
else
{
pRender.Label[j] = Math.Round(cb[j] + dblAdding, m_intRounding).ToString("N" + m_intRounding.ToString()) + " - " + Math.Round(cb[j + 1], 2).ToString("N" + m_intRounding.ToString());
}
pUIProperties.LowBreak[j] = cb[j];
pSimpleFillSym = new SimpleFillSymbolClass();
IRgbColor pRGBColor = m_pSnippet.getRGB(arrColors[j, 0], arrColors[j, 1], arrColors[j, 2]);
pSimpleFillSym.Color = (IColor)pRGBColor;
pSimpleFillSym.Outline = pOutLines;
pRender.Symbol[j] = (ISymbol)pSimpleFillSym;
}
//Background Layer
ISimpleRenderer pSimpleRender = new SimpleRendererClass();
ISimpleFillSymbol pBGSymbol = new SimpleFillSymbolClass();
pBGSymbol.Color = (IColor)m_pSnippet.getRGB(picBGColor.BackColor.R, picBGColor.BackColor.G, picBGColor.BackColor.B);
ICartographicLineSymbol pBGOutLines = new CartographicLineSymbol();
pBGOutLines.Width = 0;
pBGOutLines.Color = m_pSnippet.getRGB(255, 255, 255);
pBGSymbol.Outline = pBGOutLines;
pSimpleRender.Symbol = (ISymbol)pBGSymbol;
IFeatureLayer pflBG = new FeatureLayerClass();
pflBG.FeatureClass = pFClass;
IGeoFeatureLayer pGeoBG = (IGeoFeatureLayer)pflBG;
pGeoBG.Renderer = (IFeatureRenderer)pSimpleRender;
pGeoBG.Selectable = false;
//Feature Count for each map
m_intsFeatureCnts = new int[intVerCnt * intHorCnt];
int l = 0;
for (int i = 0; i < intVerCnt; i++)
{
for (int j = 0; j < intHorCnt; j++)
{
IFeatureLayer pflOutput = new FeatureLayerClass();
pflOutput.FeatureClass = pFClass;
IGeoFeatureLayer pGeofeatureLayer = (IGeoFeatureLayer)pflOutput;
pGeofeatureLayer.Renderer = (IFeatureRenderer)pRender;
IFeatureLayerDefinition2 pFDefinition = (IFeatureLayerDefinition2)pGeofeatureLayer;
string strWhereClause = null;
if (i == 0 && j == 0)
{
strWhereClause = strVerConFldName + " >= " + m_VerticalBreaks[i].ToString() + " AND " +
strVerConFldName + " <= " + m_VerticalBreaks[i + 1].ToString() + " AND " +
strHorConFldName + " >= " + m_HorizontalBreaks[j].ToString() + " AND " +
strHorConFldName + " <= " + m_HorizontalBreaks[j + 1].ToString();
}
else if (i != 0 && j == 0)
{
strWhereClause = strVerConFldName + " > " + m_VerticalBreaks[i].ToString() + " AND " +
strVerConFldName + " <= " + m_VerticalBreaks[i + 1].ToString() + " AND " +
strHorConFldName + " >= " + m_HorizontalBreaks[j].ToString() + " AND " +
strHorConFldName + " <= " + m_HorizontalBreaks[j + 1].ToString();
}
else if (i == 0 && j != 0)
{
strWhereClause = strVerConFldName + " >= " + m_VerticalBreaks[i].ToString() + " AND " +
strVerConFldName + " <= " + m_VerticalBreaks[i + 1].ToString() + " AND " +
strHorConFldName + " > " + m_HorizontalBreaks[j].ToString() + " AND " +
strHorConFldName + " <= " + m_HorizontalBreaks[j + 1].ToString();
}
else
{
strWhereClause = strVerConFldName + " > " + m_VerticalBreaks[i].ToString() + " AND " +
strVerConFldName + " <= " + m_VerticalBreaks[i + 1].ToString() + " AND " +
strHorConFldName + " > " + m_HorizontalBreaks[j].ToString() + " AND " +
strHorConFldName + " <= " + m_HorizontalBreaks[j + 1].ToString();
}
pFDefinition.DefinitionExpression = strWhereClause;
IQueryFilter pQfilter = new QueryFilterClass();
pQfilter.WhereClause = strWhereClause;
m_intsFeatureCnts[l] = pGeofeatureLayer.FeatureClass.FeatureCount(pQfilter);
m_axMapControls[l].ActiveView.FocusMap.ClearLayers();
m_axMapControls[l].ActiveView.FocusMap.AddLayer(pGeoBG);
m_axMapControls[l].ActiveView.FocusMap.AddLayer(pGeofeatureLayer);
m_axMapControls[l].ActiveView.Extent = m_axMapControls[l].ActiveView.FullExtent;
m_axMapControls[l].ActiveView.Refresh();
l++;
}
}
lblVariable.Text = "Selected Variable: " + strVarFldName;
UpdateRange(lvSymbol, m_intClassNumber, cb, arrColors, m_intRounding);
if (m_blnAddBoxes)
{
UpdateTextBoxes();
}
else
{
AddTextBoxes();
}
UpdateLabels();
UpdateHorVerLabels();
}
//public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp,double minValue)
//{
// IRasterBand band = GetBand(rastlayer);
// if (band.Histogram == null)
// {
// band.ComputeStatsAndHist();
// }
// IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
// IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
// rasRender.Raster = rastlayer.Raster;
// rasRender.Update();
// int numClasses = count;
// IRasterHistogram pRasterHistogram = band.Histogram;
// double[] dblValues = pRasterHistogram.Counts as double[];
// int intValueCount = dblValues.GetUpperBound(0) + 1;
// double[] vValues = new double[intValueCount];
// IRasterStatistics pRasterStatistic = band.Statistics;
// //double dMaxValue = pRasterStatistic.Maximum;
// double dMaxValue = minValue;
// double dMinValue = pRasterStatistic.Minimum;
// double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
// for (int i = 0; i < intValueCount; i++)
// {
// vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
// }
// long[] longvalues = new long[dblValues.Length];
// for (int i = 0; i <= dblValues.Length - 1; i++)
// {
// longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
// }
// //IClassifyGEN classify = null;
// IClassify classify = null;
// switch (classMethod)
// {
// case "等间距分级":
// EqualInterval eqclassify = new EqualIntervalClass();
// eqclassify.Classify(vValues, longvalues, ref numClasses);
// classify = eqclassify as IClassify;
// break;
// case "自然断点分级":
// NaturalBreaks naclassify = new NaturalBreaksClass();
// naclassify.Classify(vValues, longvalues, ref numClasses);
// classify = naclassify as IClassify;
// break;
// }
// //switch (classMethod)
// //{
// // case "等间距分级":
// // classify = new EqualIntervalClass();
// // break;
// // case "自然断点分级":
// // classify = new NaturalBreaksClass();
// // break;
// //}
// //classify.Classify(vValues, longvalues, ref numClasses);
// double[] Classes = classify.ClassBreaks as double[];
// UID pUid = classify.ClassID;
// IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
// rasClassifyUI.ClassificationMethod = pUid;
// rasClassifyRender.ClassCount = count;
// IColor pColor;
// ISimpleFillSymbol pSym;
// for (int j = 0; j < count; j++)
// {
// pColor = ramp.get_Color(j * (ramp.Size / count));
// pSym = new SimpleFillSymbolClass();
// pSym.Color = pColor;
// rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
// rasRender.Update();
// if (Classes[j] == 0)
// {
// rasClassifyRender.set_Label(j, Classes[j].ToString() + "-" + Classes[j + 1].ToString("0.000"));
// rasRender.Update();
// }
// else
// {
// rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
// rasRender.Update();
// }
// }
// rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
try
{ //进行唯一值判断
IUniqueValues values = new UniqueValuesClass();
IRasterCalcUniqueValues unique = new RasterCalcUniqueValuesClass();
unique.AddFromRaster(rastlayer.Raster, 0, values);
int uniquecount = values.get_UniqueCount(0);
//计算统计图
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
if (dMinValue == 0)
{
pRasterStatistic.IgnoredValues = pRasterStatistic.Minimum;
pRasterStatistic.Recalculate();
dMinValue = pRasterStatistic.Minimum;
}
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
EqualInterval eqclassify = new EqualIntervalClass();
eqclassify.Classify(vValues, longvalues, ref numClasses);
classify = eqclassify as IClassify;
break;
case "自然断点分级":
NaturalBreaks naclassify = new NaturalBreaksClass();
naclassify.Classify(vValues, longvalues, ref numClasses);
classify = naclassify as IClassify;
break;
}
#region
//switch (classMethod)
//{
// case "等间距分级":
// classify = new EqualIntervalClass();
// break;
// case "自然断点分级":
// classify = new NaturalBreaksClass();
// break;
//}
//classify.Classify(vValues, longvalues, ref numClasses);
#endregion
double[] Classes = classify.ClassBreaks as double[];
int n = Classes.Count();
double dn = Classes[0];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
//排除数值
double[] exdouble = new double[2] {
0, Classes[0]
};
IRasterDataExclusion ex = rasClassifyRender as IRasterDataExclusion;
ex.ExcludeValues = exdouble;
ex.ExcludeColor = GET(255, 255, 255);
for (int j = 0; j < count; j++)
{
pColor = ramp.get_Color(j * (ramp.Size / count));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
//IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
//rasterProps.NoDataValue = 0;
//IRasterDisplayProps props = rasClassifyRender as IRasterDisplayProps;
//props.NoDataColor = GET(255, 255, 255);
//rasRender.Update();
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
catch (Exception ex)
{
//MessageBox.Show(ex.ToString());
if (ex.ToString().Contains("唯一值过多"))
{
MessageBox.Show("唯一值数量已达到限制（65536）");
}
else
{
MessageBox.Show("还未计算唯一值，进行唯一值计算！");
}
}
//catch
//{
// MessageBox.Show("数据需要先计算统计值，请点击确定进行计算！");
//}
}
private IClassBreaksRenderer CreateClassBreaksRenderer(IFeatureClass featureClass, string breakMethod)
{
ITable pTable = (ITable)featureClass;
//从pTable的strRendererField字段中得到信息给datavalues和datafrequency两个数组
ITableHistogram pTableHistogram = new BasicTableHistogramClass();
IBasicHistogram pHistogram = (IBasicHistogram)pTableHistogram;
pTableHistogram.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
pTableHistogram.NormField = strNormalizeField;
pTableHistogram.Table = pTable;
object dataFrequency;
object dataValues;
pHistogram.GetHistogram(out dataValues, out dataFrequency);
//下面是分级方法，用于根据获得的值计算得出符合要求的数据
//根据条件计算出Classes和ClassesCount，numDesiredClasses为预定的分级数目
IClassifyGEN pClassify = null;
int numDesiredClasses = classCount;
switch (breakMethod)
{
case "等间隔":
pClassify = new EqualIntervalClass();
break;
case "已定义的间隔":
pClassify = new DefinedIntervalClass();
IIntervalRange2 intervalRange = pClassify as IIntervalRange2;
intervalRange.IntervalRange = dblDefinedInterval;
break;
case "分位数":
pClassify = new QuantileClass();
break;
case "自然裂点":
pClassify = new NaturalBreaksClass();
break;
case "标准差":
pClassify = new StandardDeviationClass();
IStatisticsResults pStatRes = pHistogram as IStatisticsResults;
IDeviationInterval pStdDev = pClassify as IDeviationInterval;
pStdDev.Mean = pStatRes.Mean;
pStdDev.StandardDev = pStatRes.StandardDeviation;
pStdDev.DeviationInterval = dblStdDevInterval;
break;
default:
break;
}
if (pClassify == null) return null;
pClassify.Classify(dataValues, dataFrequency, ref numDesiredClasses);
//返回一个数组
double[] classBreaks = (double[])pClassify.ClassBreaks;
int ClassesCount = classBreaks.GetUpperBound(0);
nudClassCount.Value = ClassesCount;
IClassBreaksRenderer pClassBreaksRenderer = new ClassBreaksRendererClass();
pClassBreaksRenderer.Field = strRendererField;
if (strNormalizeField.ToLower() != "none")
pClassBreaksRenderer.NormField = strNormalizeField;
//设置着色对象的分级数目
pClassBreaksRenderer.BreakCount = ClassesCount;
pClassBreaksRenderer.SortClassesAscending = true;
if (colorRamp == null)
{
MessageBox.Show("请先选择色带！！", "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return null;
}
//通过色带设置各级分类符号的颜色
colorRamp.Size = ClassesCount;
bool createRamp;
colorRamp.CreateRamp(out createRamp);
IEnumColors enumColors = colorRamp.Colors;
enumColors.Reset();
IColor pColor = null;
ISymbol symbol = null;
if (gloabalSymbol == null)
{
MessageBox.Show("请选择符号...", "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return null;
}
//需要注意的是分级着色对象中的symbol和break的下标都是从0开始
for (int i = 0; i < ClassesCount; i++)
{
pColor = enumColors.Next();
switch (featureClass.ShapeType)
{
case esriGeometryType.esriGeometryPoint:
IMarkerSymbol markerSymbol = gloabalSymbol as IMarkerSymbol;
markerSymbol.Color = pColor;
symbol = markerSymbol as ISymbol;
break;
case esriGeometryType.esriGeometryPolyline:
ILineSymbol lineSymbol = gloabalSymbol as ILineSymbol;
lineSymbol.Color = pColor;
symbol = lineSymbol as ISymbol;
break;
case esriGeometryType.esriGeometryPolygon:
IFillSymbol fillSymbol = gloabalSymbol as IFillSymbol;
fillSymbol.Color = pColor;
symbol = fillSymbol as ISymbol;
break;
default:
break;
}
pClassBreaksRenderer.set_Symbol(i, symbol);
pClassBreaksRenderer.set_Break(i, classBreaks[i + 1]);
}
return pClassBreaksRenderer;
}
