//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(); }