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 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;
}
}
