public static IRasterRenderer ClassifyRenderer(IRasterLayer raslyr,IRgbColor start_clr,IRgbColor end_clr,int count) { IRasterClassifyColorRampRenderer pRClassRend = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = pRClassRend as IRasterRenderer; IRaster pRaster = raslyr.Raster; IRasterBandCollection pRBandCol = pRaster as IRasterBandCollection; IRasterBand pRBand = pRBandCol.Item(0); if (pRBand.Histogram == null) { pRBand.ComputeStatsAndHist(); } rasterRenderer.Raster = pRaster; pRClassRend.ClassCount = count; rasterRenderer.Update(); IAlgorithmicColorRamp colorRamp = new AlgorithmicColorRampClass(); colorRamp.Size = count; colorRamp.FromColor = start_clr; colorRamp.ToColor = end_clr; bool createColorRamp; colorRamp.CreateRamp(out createColorRamp); IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < pRClassRend.ClassCount; i++) { fillSymbol.Color = colorRamp.get_Color(i); pRClassRend.set_Symbol(i, fillSymbol as ISymbol); pRClassRend.set_Label(i, pRClassRend.get_Break(i).ToString("0.00")); } return rasterRenderer; }
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 IRasterRenderer CreateSlopePrecentRiseColorRamp(Raster gRaster) { try { // Open file raster dataset and ensure that statistics and histograms are present (absence of histograms will cause Renderer.Update() to crash) IRasterDataset rasterDataset = ArcMapUtilities.GetRasterDataset(gRaster); ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection pRastBands = (ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection)rasterDataset; ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand enumRasterBand = (ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand)pRastBands.Bands; rasterDataset.PrecalculateStats(0); ESRI.ArcGIS.DataSourcesRaster.IRasterBand pRastBand = enumRasterBand.Next(); pRastBand.ComputeStatsAndHist(); IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = (IRasterRenderer)classifyRenderer; IRaster raster = rasterDataset.CreateDefaultRaster(); rasterRenderer.Raster = raster; classifyRenderer.ClassCount = 10; rasterRenderer.Update(); classifyRenderer.Break[0] = 0; classifyRenderer.Label[0] = "0 to 3.5%"; classifyRenderer.Break[1] = 3.5; classifyRenderer.Label[1] = "3.5% to 8.75%"; classifyRenderer.Break[2] = 8.75; classifyRenderer.Label[2] = "8.75% to 15%"; classifyRenderer.Break[3] = 15; classifyRenderer.Label[3] = "15% to 25%"; classifyRenderer.Break[4] = 25; classifyRenderer.Label[4] = "25% to 45%"; classifyRenderer.Break[5] = 45; classifyRenderer.Label[5] = "45% to 70%"; classifyRenderer.Break[6] = 70; classifyRenderer.Label[6] = "70% to 100%"; classifyRenderer.Break[7] = 100; classifyRenderer.Label[7] = "100% to 175%"; classifyRenderer.Break[8] = 175; classifyRenderer.Label[8] = "175% to 565%"; classifyRenderer.Break[9] = 565; classifyRenderer.Label[9] = "> 565%"; List <RgbColor> lColors = CreateSlopeColorRamp(); IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = lColors[i]; classifyRenderer.Symbol[i] = (ISymbol)fillSymbol; } return(rasterRenderer); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return(null); } }
public static IRasterRenderer CreateGrainSizeStatisticColorRamp(GCDConsoleLib.Raster gRaster, UnitsNet.Units.LengthUnit eUnits) { try { // Open file raster dataset and ensure that statistics and histograms are present (absence of histograms will cause Renderer.Update() to crash) IRasterDataset rasterDataset = ArcMapUtilities.GetRasterDataset(gRaster); ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection pRastBands = (ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection)rasterDataset; ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand enumRasterBand = (ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand)pRastBands.Bands; rasterDataset.PrecalculateStats(0); ESRI.ArcGIS.DataSourcesRaster.IRasterBand pRastBand = enumRasterBand.Next(); pRastBand.ComputeStatsAndHist(); IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = (IRasterRenderer)classifyRenderer; IRaster raster = rasterDataset.CreateDefaultRaster(); rasterRenderer.Raster = raster; classifyRenderer.ClassCount = 5; rasterRenderer.Update(); classifyRenderer.Break[0] = 0; classifyRenderer.Label[0] = "Fines, Sand (0 to 2 mm)"; classifyRenderer.Break[1] = UnitsNet.Length.From(2, UnitsNet.Units.LengthUnit.Millimeter).As(eUnits); classifyRenderer.Label[1] = "Fine Gravel (2 mm to 16 mm)"; classifyRenderer.Break[2] = UnitsNet.Length.From(16, UnitsNet.Units.LengthUnit.Millimeter).As(eUnits); classifyRenderer.Label[2] = "Coarse Gravel (16 mm to 64 mm)"; classifyRenderer.Break[3] = UnitsNet.Length.From(64, UnitsNet.Units.LengthUnit.Millimeter).As(eUnits); classifyRenderer.Label[3] = "Cobbles (64 mm to 256 mm)"; classifyRenderer.Break[4] = UnitsNet.Length.From(256, UnitsNet.Units.LengthUnit.Millimeter).As(eUnits); classifyRenderer.Label[4] = "Boulders (> 256 mm)"; List <RgbColor> lColors = new List <RgbColor>(); lColors.Add(CreateRGBColor(194, 82, 60)); lColors.Add(CreateRGBColor(240, 180, 17)); lColors.Add(CreateRGBColor(123, 237, 0)); lColors.Add(CreateRGBColor(27, 168, 124)); lColors.Add(CreateRGBColor(11, 44, 122)); IFillSymbol fillSymbol = new SimpleFillSymbol(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = lColors[i]; classifyRenderer.Symbol[i] = (ISymbol)fillSymbol; } return(rasterRenderer); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return(null); } }
public static IRasterRenderer CreateClassifyRenderer(GCDConsoleLib.Raster gRaster, int iClassCount, string sColorRampName, double dMax, bool bInvert = false) { try { // Open file raster dataset and ensure that statistics and histograms are present (absence of histograms will cause Renderer.Update() to crash) IRasterDataset rasterDataset = ArcMapUtilities.GetRasterDataset(gRaster); ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection pRastBands = (ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection)rasterDataset; ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand enumRasterBand = (ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand)pRastBands.Bands; rasterDataset.PrecalculateStats(0); ESRI.ArcGIS.DataSourcesRaster.IRasterBand pRastBand = enumRasterBand.Next(); pRastBand.ComputeStatsAndHist(); IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = (IRasterRenderer)classifyRenderer; IFillSymbol fillSymbol = new SimpleFillSymbol(); IRaster raster = rasterDataset.CreateDefaultRaster(); rasterRenderer.Raster = raster; IColorRamp pColorRamp; IStyleGalleryItem pStyleItem = GetESRIStyleColorRamp(out pColorRamp, sColorRampName); classifyRenderer.ClassCount = iClassCount; rasterRenderer.Update(); CreateClassBreaks(dMax, iClassCount, classifyRenderer); pColorRamp.Size = iClassCount; bool bOK = false; pColorRamp.CreateRamp(out bOK); List <IColor> lColors = new List <IColor>(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { lColors.Add(pColorRamp.Color[i]); } if (bInvert) { lColors.Reverse(); } for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = lColors[i]; classifyRenderer.Symbol[i] = (ISymbol)fillSymbol; } return(rasterRenderer); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return(null); } }
public static IRasterRenderer ClassifyRenderer(ESRI.ArcGIS.Geodatabase.IRasterDataset pRasterDataset) { try { //create the classify render:创建渲染器 IRasterClassifyColorRampRenderer pClassifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRasterRenderer = (IRasterRenderer)pClassifyRenderer; IRaster pRaster = pRasterDataset.CreateDefaultRaster(); pRasterRenderer.Raster = pRaster; pClassifyRenderer.ClassCount = 10; pRasterRenderer.Update(); //创建颜色 IRgbColor pFromColor = new RgbColorClass(); pFromColor.Red = 255; pFromColor.Green = 0; pFromColor.Blue = 0; IRgbColor pToColor = new RgbColorClass(); pToColor.Red = 0; pToColor.Green = 255; pToColor.Blue = 255; //set the color ramp for the symbology:生成色带 IAlgorithmicColorRamp pRamp = new AlgorithmicColorRampClass(); pRamp.Size = 10; pRamp.FromColor = pFromColor; pRamp.ToColor = pToColor; bool pBoolColorRamp; pRamp.CreateRamp(out pBoolColorRamp); //create the symbol for the classes.:创建符号 IFillSymbol pFillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < pClassifyRenderer.ClassCount; i++) { pFillSymbol.Color = pRamp.get_Color(i); pClassifyRenderer.set_Symbol(i, (ISymbol)pFillSymbol); pClassifyRenderer.set_Label(i, Convert.ToString(i)); } return(pRasterRenderer); } catch (System.Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return(null); } }
/// <summary> /// 获取手动分级渲染设置 /// </summary> /// <param name="classBreaks">分级数</param> /// <param name="classField">分级字段</param> /// <returns></returns> public IRasterClassifyColorRampRenderer GetManualRasterClassifyRenderer(List <double> classBreaks, string classField) { IRasterClassifyColorRampRenderer pRClassRend = new RasterClassifyColorRampRendererClass(); //字段 pRClassRend.ClassField = classField; //类别总数 pRClassRend.ClassCount = classBreaks.Count / 2; //设置第一个分级数 pRClassRend.Break[0] = classBreaks[0]; //每行第二个数值为分级数 for (int i = 0; i < classBreaks.Count / 2; i++) { pRClassRend.Break[i + 1] = classBreaks[2 * i + 1]; } return(pRClassRend); }
public static void funColorForRaster_Classify(IRasterLayer pRasterLayer, int ClassNum) { IRasterClassifyColorRampRenderer pRClassRend = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRRend = pRClassRend as IRasterRenderer; IRaster pRaster = pRasterLayer.Raster; IRasterBandCollection pRBandCol = pRaster as IRasterBandCollection; IRasterBand pRBand = pRBandCol.Item(0); if (pRBand.Histogram == null) { pRBand.ComputeStatsAndHist(); } pRRend.Raster = pRaster; pRClassRend.ClassCount = ClassNum; pRRend.Update(); IRgbColor pFromColor = new RgbColorClass(); pFromColor.Red = 0;//绿 pFromColor.Green = 255; pFromColor.Blue = 0; IRgbColor pToColor = new RgbColorClass(); pToColor.Red = 255;//红 pToColor.Green = 0; pToColor.Blue = 0; IAlgorithmicColorRamp colorRamp = new AlgorithmicColorRampClass(); colorRamp.Size = ClassNum; colorRamp.FromColor = pFromColor; colorRamp.ToColor = pToColor; bool createColorRamp; colorRamp.CreateRamp(out createColorRamp); IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < pRClassRend.ClassCount; i++) { fillSymbol.Color = colorRamp.get_Color(i); pRClassRend.set_Symbol(i, fillSymbol as ISymbol); pRClassRend.set_Label(i, (i + 1).ToString()); } pRasterLayer.Renderer = pRRend; MainFrom.m_mapControl.AddLayer(pRasterLayer); }
public static void userRender(IRasterLayer rastlayer, IColorRamp ramp, int count, double[] values) { 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(); //rasClassifyRender.ClassField = "Value"; rasClassifyRender.ClassCount = count; rasRender.Update(); IColor pColor; ISimpleFillSymbol pSym; int j; for (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, values[j - 1 < 0 ? 0 : j - 1]); if (j == 0) { rasClassifyRender.set_Label(j, string.Format("{0:#######0.#####}-{1:#######0.#####}", 0, values[j])); } else { rasClassifyRender.set_Label(j, string.Format("{0:#######0.#####}-{1:#######0.#####}", values[j - 1], values[j])); } Console.WriteLine("自定义" + values[j] + "," + rasClassifyRender.get_Break(j)); } rasClassifyRender.set_Break(j, values[j - 1]); rasRender.Update(); rastlayer.Renderer = rasClassifyRender as IRasterRenderer; }
/// <summary> /// 获取分级渲染设置 /// </summary> /// <param name="classField">字段</param> /// <param name="classCount">类别总数</param> /// <param name="classMethod">分级算法</param> /// <returns></returns> public IRasterClassifyColorRampRenderer GetRasterClassifyRenderer(string classField, int classCount, string classMethod) { //先计算统计值,不然无法获取分类数据 CalculateRasterStatistics(rasterLayer); IRasterClassifyColorRampRenderer pRClassRend = new RasterClassifyColorRampRendererClass(); //分级属性接口 IRasterClassifyUIProperties classProperties = pRClassRend as IRasterClassifyUIProperties; //设置分级算法 SetClassMethod(classProperties, classMethod); //字段 pRClassRend.ClassField = classField; //类别总数 pRClassRend.ClassCount = classCount; IRasterRenderer rasterRend = (IRasterRenderer)pRClassRend; rasterRend.Raster = rasterLayer.Raster; rasterRend.Update(); return(pRClassRend); }
//Ϊդ��ͼ�����ݰ��մ���Сֵ�����ֵ�ķ�����ɫ public static IRasterLayer SetRsLayerClassifiedColor(IRaster pRaster) { IRasterClassifyColorRampRenderer pClassRen = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRasRen = pClassRen as RasterClassifyColorRampRendererClass; //Set raster for the render and update pRasRen.Raster = pRaster; pClassRen.ClassCount = 9; pRasRen.Update(); //Create a color ramp to use //���������յ���ɫ IColor pFromColor = new RgbColorClass(); IRgbColor pRgbColor = pFromColor as IRgbColor; pRgbColor.Red = 255; pRgbColor.Green = 200; pRgbColor.Blue = 0; IColor pToColor = new RgbColorClass(); pRgbColor = pToColor as IRgbColor; pRgbColor.Red = 0; pRgbColor.Green = 0; pRgbColor.Blue = 255; //������ɫ�ּ� IAlgorithmicColorRamp pRamp = new AlgorithmicColorRampClass(); pRamp.Size = 9; pRamp.FromColor = pFromColor; pRamp.ToColor = pToColor; bool ok = true; pRamp.CreateRamp(out ok); //���դ��ͳ����ֵ IRasterBandCollection pRsBandCol = pRaster as IRasterBandCollection; IRasterBand pRsBand = pRsBandCol.Item(0); pRsBand.ComputeStatsAndHist(); IRasterStatistics pRasterStatistic = pRsBand.Statistics; double dMaxValue = pRasterStatistic.Maximum; double dMinValue = pRasterStatistic.Minimum; //Create symbol for the classes IFillSymbol pFSymbol = new SimpleFillSymbolClass(); double LabelValue = Convert.ToDouble((dMaxValue - dMinValue) / 9); for (int i = 0; i <= pClassRen.ClassCount - 1; i++) { pFSymbol.Color = pRamp.get_Color(i); pClassRen.set_Symbol(i, pFSymbol as ISymbol); double h1 = (LabelValue * i) + dMinValue; double h2 = (LabelValue * (i + 1)) + dMinValue; pClassRen.set_Label(i, h1.ToString() + "��" + h2.ToString()); } //Update the renderer and plug into layer pRasRen.Update(); IRasterLayer pRLayer = new RasterLayerClass(); pRLayer.CreateFromRaster(pRaster); pRLayer.Renderer = pClassRen as IRasterRenderer; return pRLayer; }
private IRasterLayer SetRsLayerClassifiedColor(IRaster pRaster) { IRasterClassifyColorRampRenderer pClassRen = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRasRen = (IRasterRenderer)pClassRen; //Set raster for the render and update pRasRen.Raster = pRaster; pClassRen.ClassCount = 9; pRasRen.Update(); //Create a color ramp to use //定义起点和终点颜色 IColor pFromColor = new RgbColorClass(); IRgbColor pRgbColor = (IRgbColor)pFromColor; pRgbColor.Red = 255; pRgbColor.Green = 200; pRgbColor.Blue = 0; IColor pToColor = new RgbColorClass(); pRgbColor = (IRgbColor)pToColor; pRgbColor.Red = 0; pRgbColor.Green = 0; pRgbColor.Blue = 255; //创建颜色分级 IAlgorithmicColorRamp pRamp = new AlgorithmicColorRampClass(); pRamp.Size = 9; pRamp.FromColor = pFromColor; pRamp.ToColor = pToColor; bool ok = true; pRamp.CreateRamp(out ok); //获得栅格统计数值 IRasterBandCollection pRsBandCol = (IRasterBandCollection)pRaster; IRasterBand pRsBand = pRsBandCol.Item(0); pRsBand.ComputeStatsAndHist(); IRasterStatistics pRasterStatistic = pRsBand.Statistics; double dMaxValue = pRasterStatistic.Maximum; double dMinValue = pRasterStatistic.Minimum; //Create symbol for the classes IFillSymbol pFSymbol = new SimpleFillSymbolClass(); double LabelValue = Convert.ToDouble((dMaxValue - dMinValue) / 9); for (int i = 0; i < pClassRen.ClassCount; i++) { pFSymbol.Color = pRamp.get_Color(i); pClassRen.set_Symbol(i, (ISymbol)pFSymbol); double h1 = (LabelValue * i) + dMinValue; double h2 = (LabelValue * (i + 1)) + dMinValue; pClassRen.set_Label(i, h1.ToString() + "-" + h2.ToString()); } //Update the renderer and plug into layer pRasRen.Update(); IRasterLayer pRLayer = new RasterLayerClass(); pRLayer.CreateFromRaster(pRaster); pRLayer.Renderer = (IRasterRenderer)pClassRen; return(pRLayer); }
public static IRasterRenderer CreateDoDClassifyRenderer(Raster gRaster, int iClassCount, double rampRange) { try { // Open file raster dataset and ensure that statistics and histograms are present (absence of histograms will cause Renderer.Update() to crash) IRasterDataset rasterDataset = ArcMapUtilities.GetRasterDataset(gRaster); ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection pRastBands = (ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection)rasterDataset; ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand enumRasterBand = (ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand)pRastBands.Bands; rasterDataset.PrecalculateStats(0); ESRI.ArcGIS.DataSourcesRaster.IRasterBand pRastBand = enumRasterBand.Next(); pRastBand.ComputeStatsAndHist(); IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = (IRasterRenderer)classifyRenderer; IFillSymbol fillSymbol = new SimpleFillSymbolClass(); IRaster raster = rasterDataset.CreateDefaultRaster(); double rMin = -2.5; double rMax = 2.5; if (rampRange == 0) { gRaster.ComputeStatistics(); Dictionary <string, decimal> rasterStats = gRaster.GetStatistics(); rMin = (double)rasterStats["min"]; rMax = (double)rasterStats["max"]; } else { rMin = rampRange * -1; rMax = rampRange; } rasterRenderer.Raster = raster; if ((rMin == double.MinValue & rMax == double.MaxValue) | (rMin == double.MaxValue & rMax == double.MinValue) | (rMin == float.MinValue & rMax == float.MaxValue) | (rMin == float.MaxValue & rMax == float.MinValue)) { classifyRenderer.ClassCount = 1; ESRI.ArcGIS.Display.IRgbColor rgbColor = CreateRGBColor(255, 255, 255); rgbColor.Transparency = 0; fillSymbol.Color = rgbColor; classifyRenderer.Symbol[0] = (ISymbol)fillSymbol; classifyRenderer.Label[0] = "No Data (no change detected)"; return(rasterRenderer); } classifyRenderer.ClassCount = iClassCount; rasterRenderer.Update(); CreateDoDClassBreaks(rMax, rMin, iClassCount, ref classifyRenderer); List <IColor> lColors = CreateDoDColorRamp(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = lColors[i]; classifyRenderer.Symbol[i] = (ISymbol)fillSymbol; } return(rasterRenderer); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return(null); } }
public static IRasterRenderer CreateRoughnessColorRamp(GCDConsoleLib.Raster gRaster) { try { // Open file raster dataset and ensure that statistics and histograms are present (absence of histograms will cause Renderer.Update() to crash) IRasterDataset rasterDataset = ArcMapUtilities.GetRasterDataset(gRaster); ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection pRastBands = (ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection)rasterDataset; ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand enumRasterBand = (ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand)pRastBands.Bands; rasterDataset.PrecalculateStats(0); ESRI.ArcGIS.DataSourcesRaster.IRasterBand pRastBand = enumRasterBand.Next(); pRastBand.ComputeStatsAndHist(); IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = (IRasterRenderer)classifyRenderer; IRaster raster = rasterDataset.CreateDefaultRaster(); rasterRenderer.Raster = raster; classifyRenderer.ClassCount = 10; rasterRenderer.Update(); classifyRenderer.Break[0] = 0; classifyRenderer.Label[0] = "0 to 0.1"; classifyRenderer.Break[1] = 0.1; classifyRenderer.Label[1] = "0.1 to 0.25"; classifyRenderer.Break[2] = 0.25; classifyRenderer.Label[2] = "0.25 to 0.5"; classifyRenderer.Break[3] = 0.5; classifyRenderer.Label[3] = "0.5 to 0.75"; classifyRenderer.Break[4] = 0.75; classifyRenderer.Label[4] = "0.75 to 1.0"; classifyRenderer.Break[5] = 1; classifyRenderer.Label[5] = "1.0 to 1.5"; classifyRenderer.Break[6] = 1.5; classifyRenderer.Label[6] = "1.5 to 2.0"; classifyRenderer.Break[7] = 2; classifyRenderer.Label[7] = "2.0 to 3.0"; classifyRenderer.Break[8] = 3; classifyRenderer.Label[8] = "3.0 to 5.0"; classifyRenderer.Break[9] = 5; classifyRenderer.Label[9] = "> 5.0"; List <RgbColor> lColors = new List <RgbColor>(); lColors.Add(CreateRGBColor(255, 255, 179)); lColors.Add(CreateRGBColor(252, 241, 167)); lColors.Add(CreateRGBColor(252, 230, 157)); lColors.Add(CreateRGBColor(250, 218, 145)); lColors.Add(CreateRGBColor(250, 208, 135)); lColors.Add(CreateRGBColor(237, 191, 126)); lColors.Add(CreateRGBColor(219, 167, 118)); lColors.Add(CreateRGBColor(201, 147, 111)); lColors.Add(CreateRGBColor(184, 127, 106)); lColors.Add(CreateRGBColor(166, 101, 101)); IFillSymbol fillSymbol = new SimpleFillSymbol(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = lColors[i]; classifyRenderer.Symbol[i] = (ISymbol)fillSymbol; } return(rasterRenderer); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return(null); } }
public static IRasterRenderer CreateSlopeDegreesColorRamp(GCDConsoleLib.Raster gRaster) { IRasterRenderer rasterRenderer = null; try { // Open file raster dataset and ensure that statistics and histograms are present (absence of histograms will cause Renderer.Update() to crash) IRasterDataset rasterDataset = ArcMapUtilities.GetRasterDataset(gRaster); ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection pRastBands = (ESRI.ArcGIS.DataSourcesRaster.IRasterBandCollection)rasterDataset; ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand enumRasterBand = (ESRI.ArcGIS.DataSourcesRaster.IEnumRasterBand)pRastBands.Bands; rasterDataset.PrecalculateStats(0); ESRI.ArcGIS.DataSourcesRaster.IRasterBand pRastBand = enumRasterBand.Next(); pRastBand.ComputeStatsAndHist(); // Create the classify renderer IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); rasterRenderer = (IRasterRenderer)classifyRenderer; IRaster raster = rasterDataset.CreateDefaultRaster(); rasterRenderer.Raster = raster; classifyRenderer.ClassCount = 10; rasterRenderer.Update(); classifyRenderer.Break[0] = (double)gRaster.GetStatistics()["min"]; classifyRenderer.Label[0] = "0 to 2"; classifyRenderer.Break[1] = 2; classifyRenderer.Label[1] = "2 to 5"; classifyRenderer.Break[2] = 5; classifyRenderer.Label[2] = "5 to 10"; classifyRenderer.Break[3] = 10; classifyRenderer.Label[3] = "10 to 15"; classifyRenderer.Break[4] = 15; classifyRenderer.Label[4] = "15 to 25"; classifyRenderer.Break[5] = 25; classifyRenderer.Label[5] = "25 to 35"; classifyRenderer.Break[6] = 35; classifyRenderer.Label[6] = "35 to 45"; classifyRenderer.Break[7] = 45; classifyRenderer.Label[7] = "45 to 60"; classifyRenderer.Break[8] = 60; classifyRenderer.Label[8] = "60 to 80"; classifyRenderer.Break[9] = 80; classifyRenderer.Label[9] = "80 to 90"; classifyRenderer.Break[10] = 90; //Create the symbol for the classes. List <RgbColor> lColors = CreateSlopeColorRamp(); IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = lColors[i]; classifyRenderer.Symbol[i] = (ISymbol)fillSymbol; } } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); rasterRenderer = null; } return(rasterRenderer); }
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)"); } }
/// <summary> /// ������Ⱦ /// </summary> /// <param name="rasterLayer">դ��ͼ��</param> /// <param name="VlaueFieldName">ֵ�ֶ�</param> /// <param name="NormalLizeFieldName">��һ���ֶΣ���ѡ��</param> /// <param name="classesCount">��������</param> /// <param name="fromColor">ɫ��ʼ��ɫ</param> /// <param name="toColor">ɫ������ɫ</param> /// <param name="bShowClassBreaks">Whether or Not Show class breaks using cell values</param> /// <param name="NodataColor">��ֵ��ɫ</param> /// <param name="bUserHillShade">Whether or Not Use hillshade effect</param> /// <param name="zScale">IF Use hillshade effect Set the Z value</param> /// <returns></returns> private void ClassifyRenderer(IRasterLayer rasterLayer, string VlaueFieldName, string NormalLizeFieldName, int classesCount,IList<Color> lstColor,IList<double> lstBreakVal,IList<string> lstBreakLbl/*IColor fromColor, IColor toColor*/, bool bShowClassBreaks, IColor nodataColor, bool bUserHillShade,Double zScale) { try { //create the classify renderer IRasterClassifyColorRampRenderer classifyRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = (IRasterRenderer)classifyRenderer; //setup renderer properties IRaster raster = rasterLayer.Raster; rasterRenderer.Raster = raster; classifyRenderer.ClassCount = classesCount; rasterRenderer.Update(); //create symbol for the classes IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < classifyRenderer.ClassCount; i++) { fillSymbol.Color = Convert2ESRIColor(lstColor[i]); classifyRenderer.set_Break(i, lstBreakVal[i]); classifyRenderer.set_Symbol(i, (ISymbol)fillSymbol); classifyRenderer.set_Label(i, lstBreakLbl[i]); } if (VlaueFieldName.Length > 0 && VlaueFieldName.ToUpper() != "NONE") classifyRenderer.ClassField = VlaueFieldName; if (NormalLizeFieldName.Length > 0 && NormalLizeFieldName.ToUpper()!= "NONE") classifyRenderer.NormField = NormalLizeFieldName; (classifyRenderer as IHillShadeInfo).UseHillShade = bUserHillShade; if(bUserHillShade==true) { (classifyRenderer as IHillShadeInfo).ZScale = zScale; } if(nodataColor!=null) (classifyRenderer as IRasterDisplayProps).NoDataColor = nodataColor; rasterLayer.Renderer = rasterRenderer; rasterLayer.Draw(esriDrawPhase.esriDPGeography, m_MainMap.ActiveView.ScreenDisplay, null); m_MainMap.ActiveView.Refresh(); m_MainTOC.Update(); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return ; } }
/// <summary> /// 得到Renderer从数据库中 /// </summary> /// <returns></returns> public static object GetRendererFromBlob(string sql, IWorkspace pConfigWks) { Exception err = null; SysCommon.Gis.IGisTable pGISTable = new SysCommon.Gis.SysGisTable(pConfigWks); //获取Renderer byte[] renderByte = pGISTable.GetFieldValue("Render", "Render", sql, out err) as byte[]; //是否得到了序列化的blob,没得到,则返回NULL if (renderByte == null) { return(null); } IMemoryBlobStreamVariant pMemoryBlobStreamVariant = new MemoryBlobStreamClass(); pMemoryBlobStreamVariant.ImportFromVariant((object)renderByte); IStream pStream = pMemoryBlobStreamVariant as IStream; //从数据库中得到符号的类型 shduan 20110721 增加RasterRenderer string strRenderType = pGISTable.GetFieldValue("Render", "RenderType", sql, out err).ToString(); string strLyrType = pGISTable.GetFieldValue("Render", "LayerType", sql, out err).ToString(); if (strLyrType == "RasterLayer") { IRasterRenderer pRRenderer = null; switch (strRenderType) { case "RasterClassifyColorRampRenderer": pRRenderer = new RasterClassifyColorRampRendererClass(); break; case "RasterUniqueValueRenderer": pRRenderer = new RasterUniqueValueRendererClass(); break; case "RasterDiscreteColorRenderer": pRRenderer = new RasterDiscreteColorRendererClass(); break; case "RasterRGBRenderer": pRRenderer = new RasterRGBRendererClass(); break; case "RasterStretchColorRampRenderer": pRRenderer = new RasterStretchColorRampRendererClass(); break; } IPersistStream pPersistStream = pRRenderer as IPersistStream; pPersistStream.Load(pStream); //pRRenderer = pPersistStream as IRasterRenderer; return(pRRenderer); } else { IFeatureRenderer pFRenderer = null; switch (strRenderType) { case "AnnoColor": string sAnnoColor = Encoding.Default.GetString(renderByte); return((object)sAnnoColor); case "SimpleRenderer": pFRenderer = new SimpleRendererClass(); break; case "UniqueValueRenderer": pFRenderer = new UniqueValueRendererClass(); break; case "ClassBreaksRenderer": pFRenderer = new ClassBreaksRendererClass(); break; case "ProportionalSymbolRenderer": pFRenderer = new ProportionalSymbolRendererClass(); break; case "ChartRenderer": pFRenderer = new ChartRendererClass(); break; } IPersistStream pPersistStream = pFRenderer as IPersistStream; pPersistStream.Load(pStream); pFRenderer = pPersistStream as IFeatureRenderer; return(pFRenderer); } }
private void button_IDW_TIME_Click(object sender, EventArgs e) { object obj = null; ILayer pLayer = new FeatureLayerClass(); IFeatureClass featureClass = GetFeatureClass(@"D:\a_gis工程设计实践课\china\墓穴地shp\grave.shp"); IGeoDataset geo = featureClass as IGeoDataset; object extend = geo.Extent; object o = null; IFeatureClassDescriptor feades = new FeatureClassDescriptorClass(); feades.Create(featureClass, null, "time_inter"); IRasterRadius rasterrad = new RasterRadiusClass(); rasterrad.SetVariable(12, ref obj); object dCell = 0.014800000;//可以根据不同的点图层进行设置 IInterpolationOp interpla = new RasterInterpolationOpClass(); IRasterAnalysisEnvironment rasanaenv = interpla as IRasterAnalysisEnvironment; rasanaenv.SetCellSize(esriRasterEnvSettingEnum.esriRasterEnvValue, ref dCell); rasanaenv.SetExtent(esriRasterEnvSettingEnum.esriRasterEnvValue, ref extend, ref o); IGeoDataset g_GeoDS_Raster = interpla.IDW((IGeoDataset)feades, 2, rasterrad, ref obj); IRaster pOutRsater = (IRaster)g_GeoDS_Raster; IRasterLayer pOutRasterlayer = new RasterLayerClass(); pOutRasterlayer.CreateFromRaster(pOutRsater); pOutRasterlayer.Name = "时间久远程度"; PixelValue2 = Class_GetPixelValue(pOutRasterlayer); IRasterClassifyColorRampRenderer pRClassRend = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRRend = pRClassRend as IRasterRenderer; IRaster pRaster = pOutRasterlayer.Raster; IRasterBandCollection pRBandCol = pRaster as IRasterBandCollection; IRasterBand pRBand = pRBandCol.Item(0); if (pRBand.Histogram == null) { pRBand.ComputeStatsAndHist(); } pRRend.Raster = pRaster; pRClassRend.ClassCount = 10; pRRend.Update(); IRgbColor pFromColor = new RgbColorClass(); pFromColor.Red = 135;//天蓝色 pFromColor.Green = 206; pFromColor.Blue = 235; IRgbColor pToColor = new RgbColorClass(); pToColor.Red = 124;//草坪绿 pToColor.Green = 252; pToColor.Blue = 0; IAlgorithmicColorRamp colorRamp = new AlgorithmicColorRampClass(); colorRamp.Size = 10; colorRamp.FromColor = pFromColor; colorRamp.ToColor = pToColor; bool createColorRamp; colorRamp.CreateRamp(out createColorRamp); IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < pRClassRend.ClassCount; i++) { fillSymbol.Color = colorRamp.get_Color(i); pRClassRend.set_Symbol(i, fillSymbol as ISymbol); pRClassRend.set_Label(i, pRClassRend.get_Break(i).ToString("0.00")); } pOutRasterlayer.Renderer = pRRend; this.axMapControl1.AddLayer(pOutRasterlayer); //两种方法的结合后 }
private void btn_2e_Click(object sender, EventArgs e) { ILayer pLayer = new FeatureLayerClass(); IFeatureClass featureClass = GetFeatureClass(@"D:\a_gis工程设计实践课\china\墓穴地shp\grave.shp"); IGeoDataset geo = featureClass as IGeoDataset; object extend = geo.Extent; object o = null; IFeatureClassDescriptor feades = new FeatureClassDescriptorClass(); feades.Create(featureClass, null, "area"); IRasterRadius rasterrad = new RasterRadiusClass(); rasterrad.SetVariable(12, ref o); object dCell = 0.014800000;//可以根据不同的点图层进行设置 IInterpolationOp interpla = new RasterInterpolationOpClass(); IRasterAnalysisEnvironment rasanaenv = interpla as IRasterAnalysisEnvironment; rasanaenv.SetCellSize(esriRasterEnvSettingEnum.esriRasterEnvValue, ref dCell); rasanaenv.SetExtent(esriRasterEnvSettingEnum.esriRasterEnvValue, ref extend, ref o); IGeoDataset g_GeoDS_Raster = interpla.IDW((IGeoDataset)feades, 2, rasterrad, ref o); IRaster pOutRsater = (IRaster)g_GeoDS_Raster; IRasterLayer pOutRasterlayer = new RasterLayerClass(); pOutRasterlayer.CreateFromRaster(pOutRsater); pOutRasterlayer.Name = "两个因素都考虑"; //IRaster raster = pOutRasterlayer.Raster; IRaster2 raster2 = (IRaster2)pOutRsater; // 指定像素块大小 IPnt pntBlock = new PntClass(); pntBlock.X = 1280; pntBlock.Y = 1280; //创建一个光标以给定像素块大小 //定义RasterCursor初始化,参数设为null,内部自动设置PixelBlock大小 //IRasterCursor pRasterCursor = pRaster2.CreateCursorEx(null); IRasterCursor rasterCursor = raster2.CreateCursorEx(null); //控制像素块级别的编辑操作 IRasterEdit rasterEdit = raster2 as IRasterEdit; if (rasterEdit.CanEdit()) { //得到一段光栅带 IRasterBandCollection bandCollection = (IRasterBandCollection)pOutRsater; System.Array pixels; IPnt pnt = null; object value; int bandCount = bandCollection.Count; //创建像素块 IPixelBlock3 pixelBlock3 = null; int blockWidth = 0; int blockHeight = 0; double temp = 0; do { pixelBlock3 = rasterCursor.PixelBlock as IPixelBlock3; blockWidth = pixelBlock3.Width; blockHeight = pixelBlock3.Height; for (int k = 0; k < bandCount; k++) { //指定平面的像素的数组 pixels = (System.Array)pixelBlock3.get_PixelData(k); for (int i = 0; i < blockWidth; i++) { for (int j = 0; j < blockHeight; j++) { //value = pixels.GetValue(i, j); ////if (Convert.ToInt32(value) == 0) //{ //设置像素的颜色值 temp = PixelValue1[i, j] + PixelValue2[i, j]; pixels.SetValue((int)temp, i, j); //} } } pixelBlock3.set_PixelData(k, pixels); } pnt = rasterCursor.TopLeft; rasterEdit.Write(pnt, (IPixelBlock)pixelBlock3); }while (rasterCursor.Next()); System.Runtime.InteropServices.Marshal.ReleaseComObject(rasterEdit); //渲染 IRasterClassifyColorRampRenderer pRClassRend = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRRend = pRClassRend as IRasterRenderer; IRaster pRaster = pOutRasterlayer.Raster; IRasterBandCollection pRBandCol = pRaster as IRasterBandCollection; IRasterBand pRBand = pRBandCol.Item(0); if (pRBand.Histogram == null) { pRBand.ComputeStatsAndHist(); } pRRend.Raster = pRaster; pRClassRend.ClassCount = 10; pRRend.Update(); IRgbColor pFromColor = new RgbColorClass(); pFromColor.Red = 135;//天蓝色 pFromColor.Green = 206; pFromColor.Blue = 235; IRgbColor pToColor = new RgbColorClass(); pToColor.Red = 124;//草坪绿 pToColor.Green = 252; pToColor.Blue = 0; IAlgorithmicColorRamp colorRamp = new AlgorithmicColorRampClass(); colorRamp.Size = 10; colorRamp.FromColor = pFromColor; colorRamp.ToColor = pToColor; bool createColorRamp; colorRamp.CreateRamp(out createColorRamp); IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < pRClassRend.ClassCount; i++) { fillSymbol.Color = colorRamp.get_Color(i); pRClassRend.set_Symbol(i, fillSymbol as ISymbol); pRClassRend.set_Label(i, pRClassRend.get_Break(i).ToString("0.00")); } pOutRasterlayer.Renderer = pRRend; this.axMapControl1.AddLayer(pOutRasterlayer); } }
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 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(); }
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,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!"); //} }
//Ϊդ��ͼ�����ݽ��з�����ɫ public static IRasterLayer GetRLayerClassifyColor(IRaster pRaster, double dMaxDis) { IRasterClassifyColorRampRenderer pClassRen = new RasterClassifyColorRampRendererClass(); IRasterRenderer pRasRen = pClassRen as RasterClassifyColorRampRendererClass; //Set raster for the render and update pRasRen.Raster = pRaster; pClassRen.ClassCount = 10; pRasRen.Update(); //Create a color ramp to use //���������յ���ɫ IColor pFromColor = new RgbColorClass(); IRgbColor pRgbColor = pFromColor as IRgbColor; pRgbColor.Red = 255; pRgbColor.Green = 0; pRgbColor.Blue = 0; IColor pToColor = new RgbColorClass(); pRgbColor = pToColor as IRgbColor; pRgbColor.Red = 0; pRgbColor.Green = 255; pRgbColor.Blue = 0; //������ɫ�ּ� IAlgorithmicColorRamp pRamp = new AlgorithmicColorRampClass(); pRamp.Size = 10; pRamp.FromColor = pFromColor; pRamp.ToColor = pToColor; bool ok = true; pRamp.CreateRamp(out ok); //Create symbol for the classes IFillSymbol pFSymbol = new SimpleFillSymbolClass(); double LabelValue = Convert.ToDouble(dMaxDis / 6); for (int i = 0; i <= pClassRen.ClassCount - 1; i++) { pFSymbol.Color = pRamp.get_Color(i); pClassRen.set_Symbol(i, pFSymbol as ISymbol); double h1 = LabelValue * i; double h2 = LabelValue * (i + 1); pClassRen.set_Label(i, h1.ToString() + "��" + h2.ToString()); } //Update the renderer and plug into layer pRasRen.Update(); IRasterLayer pRLayer = new RasterLayerClass(); pRLayer.CreateFromRaster(pRaster); pRLayer.Renderer = pClassRen as IRasterRenderer; return pRLayer; }
public static IRasterRenderer ClassifyRenderer(ESRI.ArcGIS.Geodatabase.IRasterDataset pRasterDataset) { try { //create the classify render:创建渲染器 IRasterClassifyColorRampRenderer pClassifyRenderer=new RasterClassifyColorRampRendererClass(); IRasterRenderer pRasterRenderer=(IRasterRenderer)pClassifyRenderer; IRaster pRaster=pRasterDataset.CreateDefaultRaster(); pRasterRenderer.Raster=pRaster; pClassifyRenderer.ClassCount=10; pRasterRenderer.Update(); //创建颜色 IRgbColor pFromColor=new RgbColorClass(); pFromColor.Red=255; pFromColor.Green=0; pFromColor.Blue=0; IRgbColor pToColor=new RgbColorClass(); pToColor.Red=0; pToColor.Green=255; pToColor.Blue=255; //set the color ramp for the symbology:生成色带 IAlgorithmicColorRamp pRamp=new AlgorithmicColorRampClass(); pRamp.Size=10; pRamp.FromColor=pFromColor; pRamp.ToColor=pToColor; bool pBoolColorRamp; pRamp.CreateRamp(out pBoolColorRamp); //create the symbol for the classes.:创建符号 IFillSymbol pFillSymbol=new SimpleFillSymbolClass(); for (int i=0;i<pClassifyRenderer.ClassCount;i++){ pFillSymbol.Color=pRamp.get_Color(i); pClassifyRenderer.set_Symbol(i,(ISymbol)pFillSymbol); pClassifyRenderer.set_Label(i,Convert.ToString(i)); } return pRasterRenderer; } catch (System.Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); return null; } }
//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 void ChangeRender2ClassifyColorRampRenderer(IRasterLayer rasterLayer, int classCount, IColorRamp pColorRamp) { if (rasterlayer == null) { return; } //计算统计图 IRasterBand band = GetBand(rasterLayer); if (band.Histogram == null) { band.ComputeStatsAndHist(); } IRaster raster = rasterLayer.Raster; //创建分类 IRasterClassifyColorRampRenderer rasterClassifyColorRampRenderer = new RasterClassifyColorRampRendererClass(); IRasterRenderer rasterRenderer = rasterClassifyColorRampRenderer as IRasterRenderer; rasterRenderer.Raster = raster; rasterRenderer.Update(); //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; //} //int numClass = classCount; //classify.Classify(ref numClass); //double[] Classes = classify.ClassBreaks as double[]; //UID pUid = classify.ClassID; //IRasterClassifyUIProperties rasClassifyUI = rasterClassifyColorRampRenderer as IRasterClassifyUIProperties; //rasClassifyUI.ClassificationMethod = pUid; rasterClassifyColorRampRenderer.ClassCount = classCount; //IAlgorithmicColorRamp algorithmicColorRamp = new AlgorithmicColorRampClass(); //algorithmicColorRamp.Size = 20; //algorithmicColorRamp.FromColor = getRGBColor(255, 0, 0); //algorithmicColorRamp.ToColor = getRGBColor(0, 255, 0); //bool btrue; //algorithmicColorRamp.CreateRamp(out btrue); //IEnumColors enumColors = pColorRamp.Colors; IEnumColors enumColors = pColorRamp.Colors; IFillSymbol fillSymbol = new SimpleFillSymbolClass(); for (int i = 0; i < rasterClassifyColorRampRenderer.ClassCount - 1; i++) { fillSymbol.Color = enumColors.Next(); rasterClassifyColorRampRenderer.set_Symbol(i, fillSymbol as ISymbol); //rasterClassifyColorRampRenderer.set_Label(i, "Class" + i.ToString()); } //ISimpleFillSymbol fillSymbol = new SimpleFillSymbolClass(); //IColor pColor; //for (int i = 0; i < classCount - 1; i++) //{ // pColor = pColorRamp.get_Color(i * (pColorRamp.Size / classCount)); // fillSymbol = new SimpleFillSymbolClass(); // fillSymbol.Color = pColor; // rasterClassifyColorRampRenderer.set_Symbol(i, fillSymbol as ISymbol); // //rasterRenderer.Update(); // //rasterClassifyColorRampRenderer.set_Break(i, rasterClassifyColorRampRenderer.get_Break(i)); // //rasterClassifyColorRampRenderer.set_Label(i, "Class" + i.ToString()); // rasterRenderer.Update(); //} rasterRenderer.Update(); rasterLayer.Renderer = rasterClassifyColorRampRenderer as IRasterRenderer; }