//新地科学分类方法 [没有使用]
public double[] getDivEquestStringArray2(int breakNum)
{
List <double> DivItemList = new List <double>();
if (breakNum != 0)
{
for (int ib = 0; ib < this.RasterLayerClass.BandCount; ib++)
{
IUniqueValues uv = new UniqueValuesClass();
IRasterCalcUniqueValues rcuv = new RasterCalcUniqueValuesClass();
rcuv.AddFromRaster(this.RasterLayerClass.Raster, ib, uv);
object valueArray = null, freq = null;
;
IClassify classify = null;
uv.GetHistogram(out valueArray, out freq);
//--
EqualIntervalClass eq = new EqualIntervalClass();
eq.Classify(valueArray, freq, ref breakNum);
classify = (IClassify)eq;
//object o = classify.ClassBreaks;
////--
//Quantile qc = new QuantileClass();
//qc.Classify(valueArray, freq, ref breakNum);
//classify = (IClassify)qc;
//o = classify.ClassBreaks;
////--
//NaturalBreaksClass nb = new NaturalBreaksClass();
//nb.Classify(valueArray, freq, ref breakNum);
//classify = nb as IClassify;
//o = classify.ClassBreaks;
////--
////DefinedIntervalClass di = new DefinedIntervalClass();
////di.IntervalRange = this.m_classBreaksParam.Interval;
////di.Classify(valueArray, freq, ref breakNum);
////--
////StandardDeviationClass sd = new StandardDeviationClass();
////IStatisticsResults stat = histogram 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);
////--
object o = classify.ClassBreaks;
System.Array breakArray = o as System.Array;
for (int i = breakArray.Length - 1; i >= 0; i--)
{
DivItemList.Add(double.Parse(breakArray.GetValue(i).ToString()));
}
}
}
return(DivItemList.ToArray());
}
private void btRender_Click(object sender, EventArgs e)
{
int number = 0;
if (cbColorRamp.SelectedIndex == -1)
{
if (lang == Language.Chinese)
{
MessageBox.Show("请先选择一种色带");
}
else if (lang == Language.English)
{
MessageBox.Show("Please choose a color ribbon first");
}
return;
}
try
{
number = int.Parse(txtNumber.Text);
if (number <= 1)
{
if (lang == Language.Chinese)
{
MessageBox.Show("类别数量只能为>1的正整数");
}
else if (lang == Language.English)
{
MessageBox.Show("The class number can only be a positive integer of >1");
}
}
}
catch
{
if (lang == Language.Chinese)
{
MessageBox.Show("类别数量只能为整数");
}
else if (lang == Language.English)
{
MessageBox.Show("The class number can only be an integer");
}
}
IRasterClassifyColorRampRenderer pRasterClassifyRenderer = new RasterClassifyColorRampRendererClass();
IRasterRenderer pRasterRenderer = pRasterClassifyRenderer as IRasterRenderer;
IUniqueValues uniVal = new UniqueValuesClass();
IRasterCalcUniqueValues2 calValues = new RasterCalcUniqueValuesClass();
calValues.MaxUniqueValueCount = 10000000;
calValues.AddFromRaster(rasterLayer.Raster, cbSelectedBand.SelectedIndex, uniVal);
object vValues, vFrequences;
uniVal.GetHistogram(out vValues, out vFrequences);
double[] doubleArray = (double[])vValues;
int[] longArray = (int[])vFrequences;
int order = SortTool.CheckInOrder(doubleArray, doubleArray.Length);
if (order == 0)
{
SortTool.QuickSort3(doubleArray, 0, doubleArray.Length - 1, longArray);
}
else if (order == -1)
{
SortTool.Reverse(doubleArray, doubleArray.Length, longArray);
}
IClassifyGEN classify = GetMethod(cbMethod.Text);
classify.Classify((double[])vValues, (int[])vFrequences, ref number);
double[] classes = classify.ClassBreaks as double[];
pRasterRenderer.Raster = rasterLayer.Raster;
pRasterClassifyRenderer.ClassCount = number;
for (int i = 0; i < classes.Length; i++)
{
pRasterClassifyRenderer.set_Break(i, classes[i]);
}
pRasterRenderer.Update();
IStyleGalleryItem galleryItem = symbol.GetItem(cbColorRamp.SelectedIndex);
IColorRamp colorRamp = galleryItem.Item as IColorRamp;
IFillSymbol fill = new SimpleFillSymbolClass() as IFillSymbol;
int increase = colorRamp.Size / (number - 1);
for (int i = 0; i < pRasterClassifyRenderer.ClassCount - 1; i++)
{
fill.Color = colorRamp.get_Color(i * increase);
pRasterClassifyRenderer.set_Symbol(i, fill as ISymbol);
pRasterClassifyRenderer.set_Label(i, pRasterClassifyRenderer.get_Break(i).ToString() + "-" + pRasterClassifyRenderer.get_Break(i + 1).ToString());
}
fill.Color = colorRamp.get_Color(colorRamp.Size - 1);
pRasterClassifyRenderer.set_Symbol(pRasterClassifyRenderer.ClassCount - 1, fill as ISymbol);
pRasterClassifyRenderer.set_Label(pRasterClassifyRenderer.ClassCount - 1, pRasterClassifyRenderer.get_Break(pRasterClassifyRenderer.ClassCount - 1).ToString() + "-" + pRasterClassifyRenderer.get_Break(pRasterClassifyRenderer.ClassCount).ToString());
rasterLayer.Renderer = pRasterRenderer;
succeed = true;
this.Close();
}
