private Dictionary <string, double> StatArea(int[] aoi, Dictionary <string, Func <short, bool> > filters)
{
IRasterDrawing drawing = _activeViewer.Canvas.PrimaryDrawObject as IRasterDrawing;
if (drawing == null)
{
return(null);
}
IRasterDataProvider prd = drawing.DataProvider;
if (prd == null)
{
return(null);
}
RasterOperator <short> rs = new RasterOperator <short>();
if (_extractedPixels == null)
{
Dictionary <string, double> areas = rs.Area(prd, aoi, filters);
return(areas);
}
else
{
double area = rs.Area(prd, _extractedPixels, aoi);
Dictionary <string, double> areas = new Dictionary <string, double>();
areas.Add("判识面积", area);
return(areas);
}
}
private IExtractResult TFRQAlgorithm(Action <int, string> progressTracker)
{
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
IInterestedRaster <Int16> timeResult = null;
string[] files = GetStringArray("SelectedPrimaryFiles");
if (files == null || files.Length == 0)
{
return(null);
}
RasterIdentify identify = new RasterIdentify(files);
identify.SubProductIdentify = _subProductDef.Identify;
int maxNum = 0;
timeResult = roper.Times(files, identify, progressTracker, (dstValue, srcValue) =>
{
dstValue += srcValue;
if (maxNum < dstValue)
{
maxNum = dstValue;
}
return(dstValue);
});
if (timeResult == null || maxNum == 0)
{
return(null);
}
double zoom = (double)_argumentProvider.GetArg("Zoom");
return(CalcTreq(timeResult, identify, maxNum, zoom));
}
private IExtractResult TFREAlgorithm(Action <int, string> progressTracker)
{
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
IInterestedRaster <Int16> timeResult = null;
string[] files = GetStringArray("SelectedPrimaryFiles");
if (files == null || files.Length == 0)
{
return(null);
}
RasterIdentify identify = new RasterIdentify(files);
identify.SubProductIdentify = _subProductDef.Identify;
timeResult = roper.Times(files, identify, progressTracker, (dstValue, srcValue) =>
{
return((Int16)(dstValue + srcValue));
});
if (timeResult == null)
{
return(null);
}
timeResult.Dispose();
string workFilename = identify.ToWksFullFileName(".dat");
File.Copy(timeResult.FileName, workFilename, true);
return(new FileExtractResult("FLD", workFilename, true));
}
private void button4_Click(object sender, EventArgs e)
{
string fname1 = "F:\\FIR_NDVI_FY3A_MERSI_250M_20120610164136_20120611164136.dat";
IRasterDataProvider prd = GeoDataDriver.Open(fname1) as IRasterDataProvider;
IRasterOperator <float> oper = new RasterOperator <float>();
area = oper.Area(prd, null, (v) => { return(true); });
}
private void button2_Click(object sender, EventArgs e)
{
string fname1 = "F:\\FIR_NDVI_FY3A_MERSI_250M_20120610164136_20120611164136.dat";
string fname2 = "F:\\FIR_NDVI_FY3A_MERSI_250M_20120610164136_20120611164136 - 副本.dat";
IRasterOperator <float> oper = new RasterOperator <float>();
oper.Times(new string[] { fname1, fname2 }, new RasterIdentify(), (v1, v2) => { return(v1 + v2); });
}
/// <summary>
/// 差值运算
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="aoi">感兴趣区域</param>
/// <param name="fristFileName">被减数文件</param>
/// <param name="secondFileName">减数文件</param>
/// <param name="rasterIdentify">产品标识</param>
/// <returns></returns>
public static IExtractResult ChaZhi <T>(int[] aoi, string fristFileName, string secondFileName, RasterIdentify rasterIdentify)
{
IRasterOperator <float> rasterOperator = new RasterOperator <float>();
IInterestedRaster <float> resultRaster = rasterOperator.Compare(aoi, fristFileName, secondFileName,
(beiJianShu, jianShu) =>
{
return(beiJianShu - jianShu);
}, rasterIdentify
);
return(resultRaster);
}
private StatResultItem[] AreaStat(object aoiObj, Func <Int16, bool> filter, string[] files)
{
if (files == null || files.Length == 0)
{
return(null);
}
IStatAnalysisEngine <Int16> exe = new StatAnalysisEngine <Int16>();
if (aoiObj as Dictionary <string, int[]> != null)
{
Dictionary <string, int[]> aoi = aoiObj as Dictionary <string, int[]>;
List <StatResultItem> items = new List <StatResultItem>();
IRasterDataProvider prd = null;
try
{
prd = GeoDataDriver.Open(files[0]) as IRasterDataProvider;
if (aoi == null || aoi.Count == 0)
{
return(null);
}
StatResultItem[] item = exe.StatAreaCustom(prd, aoi, filter);
if (item != null && item.Length > 0)
{
items.AddRange(item);
}
//
RasterOperator <Int16> oper = new RasterOperator <Int16>();
int count = oper.Count(prd, null, filter);
StatResultItem sri = new StatResultItem();
sri.Name = "整个湖区";
sri.Value = Math.Round(count * BAGStatisticHelper.CalPixelArea(prd.ResolutionX), 3);
items.Add(sri);
return(items.ToArray());
}
catch
{
throw new ArgumentException("选择的文件：“" + Path.GetFileName(files[0]) + "”无法进行自定义面积统计。");
}
finally
{
if (prd != null)
{
prd.Dispose();
prd = null;
}
}
}
else
{
return(null);
}
}
public static IExtractResult ComputeMinFile(string[] fnames, RasterIdentify rasterIdentify)
{
IRasterOperator <float> rasterOperator = new RasterOperator <float>();
IInterestedRaster <float> resultRaster = rasterOperator.Times(fnames, rasterIdentify,
(value, valuei) =>
{
if (valuei < value)
{
value = valuei;
}
return(value);
}
);
return(resultRaster);
}
//计算亚像元面积
private double ComputeSecondPixelArea(int pixelIdx, ushort[] bandValues, out float pixelArea)
{
int row = pixelIdx / _width;
pixelArea = (float)RasterOperator <UInt16> .ComputePixelArea(row, _maxLat, _res);
PixelFeature fet = _features[pixelIdx];
float pvMidIfr = bandValues[_midIfrBandIdx] / _bandZoom;
float pvFarIfr = bandValues[_farIfrBandIdx] / _bandZoom;
double factor = 0;
if (pvMidIfr < _maxMidIfrValue)
{
factor = 1.438833f * _midIfrCenterWaveNum / pvMidIfr * 10f;
double n3Mix = (1.1910659 * Math.Pow(10, -5) * Math.Pow(_midIfrCenterWaveNum, 3)) / (Math.Pow(Math.E, factor) - 1f);
factor = 1.438833f * _midIfrCenterWaveNum / _firComputeFactor;
double n3bf = (1.1910659 * Math.Pow(10, -5) * Math.Pow(_midIfrCenterWaveNum, 3)) / (Math.Pow(Math.E, factor) - 1f);
factor = 1.438833f * _midIfrCenterWaveNum / fet.MidIfrAvgValue * 10;
double n3bt = (1.1910659 * Math.Pow(10, -5) * Math.Pow(_midIfrCenterWaveNum, 3)) / (Math.Pow(Math.E, factor) - 1f);
return(pixelArea * (n3Mix - n3bt) / (n3bf - n3bt) * 100f);
}
else
{
if (pvFarIfr < fet.FarIfrAvgValue)
{
factor = 1.438833f * _farIfrCenterWaveNum / (fet.FarIfrAvgValue + 3) * 10f;
}
else
{
factor = 1.438833f * _farIfrCenterWaveNum / pvFarIfr * 10f;
}
double n4Mix = (1.1910659 * Math.Pow(10, -5) * Math.Pow(_farIfrCenterWaveNum, 3)) / (Math.Pow(Math.E, factor) - 1f);
factor = 1.438833f * _farIfrCenterWaveNum / _firComputeFactor;
double n4bf = (1.1910659 * Math.Pow(10, -5) * Math.Pow(_farIfrCenterWaveNum, 3)) / (Math.Pow(Math.E, factor) - 1f);
factor = 1.438833f * _farIfrCenterWaveNum / fet.FarIfrAvgValue * 10f;
double n4bt = (1.1910659 * Math.Pow(10, -5) * Math.Pow(_farIfrCenterWaveNum, 3)) / (Math.Pow(Math.E, factor) - 1f);
if (n4Mix - n4bt < 0)
{
n4Mix = n4bt + 2f;
}
return(pixelArea * (n4Mix - n4bt) / (n4bf - n4bt) * 100f);
}
}
private double StatArea(int[] aoi)
{
IRasterDrawing drawing = _activeViewer.Canvas.PrimaryDrawObject as IRasterDrawing;
if (drawing == null)
{
return(0);
}
IRasterDataProvider prd = drawing.DataProvider;
if (prd == null)
{
return(0);
}
double retArea = 0;
if (prd.CoordType == enumCoordType.GeoCoord)
{
Size size = new Size(prd.Width, prd.Height);
int row = 0;
double resX = prd.ResolutionX;
double maxLat = prd.CoordEnvelope.MaxY;
for (int i = 0; i < aoi.Length; i++)
{
row = aoi[i] / size.Width;
retArea += RasterOperator <int> .ComputePixelArea(row, maxLat, resX);
}
}
else if (prd.CoordType == enumCoordType.PrjCoord)
{
double pixelArea = prd.ResolutionX * prd.ResolutionY / 1000000;//平方公里
for (int i = 0; i < aoi.Length; i++)
{
retArea += pixelArea;
}
}
else//raster pixelcount
{
retArea = aoi.Length;
}
return(retArea);
}
private double CalcTotalArea(IRasterDataProvider dataProvider, int[] aoi, float minValue, float maxValue)
{
double convertArea = 0;
IRasterOperator <Int16> rasterOper = new RasterOperator <Int16>();
int count = rasterOper.Count(dataProvider, aoi, (value) =>
{
if (minValue < value && value <= maxValue)
{
return(true);
}
else
{
return(false);
}
});
convertArea = count * AreaCountHelper.CalcArea(dataProvider.ResolutionX, dataProvider.ResolutionY);
return(convertArea / 1000000);
}
/// <summary>
/// 计算指定等级的总覆盖面积
/// 例如:重度(60%-100%)
/// 比较条件为：minConvertDegree< x && x<= maxConvertDegree
/// </summary>
/// <param name="minConvertDegree"></param>
/// <param name="maxConvertDegree"></param>
/// <returns></returns>
public double CalcTotalConvertArea(IRasterDataProvider dataProvider, float minCovertDegree, float maxCovertDegree, double pixelArea)
{
double convertArea = 0;
IRasterOperator <float> rasterOper = new RasterOperator <float>();
int count = rasterOper.Count(dataProvider, null, (value) =>
{
if (minCovertDegree < value && value <= maxCovertDegree)
{
return(true);
}
else
{
return(false);
}
});
convertArea = count * pixelArea;
return(convertArea);
}
/// <summary>
/// 计算云覆盖面积
/// </summary>
/// <returns></returns>
public double CalcCloudConvertArea(IRasterDataProvider dataProvider, int[] aoi)
{
double cloudArea = 0;
IRasterOperator <Int16> rasterOper = new RasterOperator <Int16>();
int count = rasterOper.Count(dataProvider, aoi, (value) =>
{
if (value == 1)
{
return(true);
}
else
{
return(false);
}
});
double pixelArea = BAGStatisticHelper.CalPixelArea(dataProvider.ResolutionX);
cloudArea = count * pixelArea;
return(cloudArea);
}
/// <summary>
/// 计算指定等级的总覆盖面积
/// 例如:重度(60%-100%)
/// 比较条件为：minConvertDegree< x && x<= maxConvertDegree
/// </summary>
/// <param name="minConvertDegree"></param>
/// <param name="maxConvertDegree"></param>
/// <returns></returns>
public double CalcTotalConvertArea(IRasterDataProvider dataProvider, int[] aoi, float minCovertDegree, float maxCovertDegree)
{
double convertArea = 0;
IRasterOperator <float> rasterOper = new RasterOperator <float>();
int count = rasterOper.Count(dataProvider, aoi, (value) =>
{
if (minCovertDegree < value && value <= maxCovertDegree)
{
return(true);
}
else
{
return(false);
}
});
double pixelArea = BAGStatisticHelper.CalPixelArea(dataProvider.ResolutionX);
convertArea = count * pixelArea;
return(convertArea);
}
/// <summary>
/// 计算云覆盖度
/// </summary>
/// <param name="dataProvider">云监测生成的判识结果文件</param>
/// <param name="pixelCount">指定区域像素点个数（例如：太湖区域像素点总数）</param>
/// <returns></returns>
public float CalcCloudConvertDegree(IRasterDataProvider dataProvider, int[] aoi)
{
if (dataProvider == null || aoi.Count() == 0)
{
return(0);
}
long nCloud = 0;
IRasterOperator <UInt16> rasterOper = new RasterOperator <UInt16>();
nCloud = rasterOper.Count(dataProvider, aoi, (value) =>
{
if (value == 1)
{
return(true);
}
else
{
return(false);
}
});
return((float)nCloud / (float)aoi.Count());
}
/// <summary>
/// 当期区域像素点频次统计（基于判识二值数据进行计算）
/// </summary>
/// <param name="productIdentify">产品标识</param>
/// <param name="subProIdentify">子产品标识</param>
/// <param name="invaild">无效值</param>
public static void TimesStatAnalysisByPixel(string productIdentify, string subProIdentify, Int16 invaild)
{
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
RasterIdentify identify = GetIdentify(productIdentify, subProIdentify);
IInterestedRaster <Int16> timeResult = null;
string[] files = GetFiles();
//频次统计
timeResult = roper.Times(files, identify, (dstValue, srcValue) =>
{
if (srcValue != invaild)
{
return((Int16)(dstValue++));
}
else
{
return(dstValue);
}
});
if (timeResult == null)
{
return;
}
}
private string GetSNWDegree(string[] files)
{
double pixelArea = 0;
IInterestedRaster <Int16> timeResult = null;
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
DataIdentify di = GetDataIdentify();
string outFileIdentify = GetStringArgument("OutFileIdentify");
string extinfo = GetStringArgument("extinfo");
timeResult = roper.Times(files, CreatRasterIndetifyId(files, "SNW", outFileIdentify, di, null, extinfo),
(dstValue, srcValue) =>
{
if (srcValue == 0)
{
return(dstValue);
}
else
{
return(++dstValue);
}
});
IRasterDataProvider dataProvider = timeResult.HostDataProvider;
if (dataProvider != null)
{
ArgumentProvider ap = new ArgumentProvider(dataProvider, null);
RasterPixelsVisitor <Int16> visitor = new RasterPixelsVisitor <Int16>(ap);
IPixelFeatureMapper <double> memresult = new MemPixelFeatureMapper <double>("0SDC", 1000, new Size(dataProvider.Width, dataProvider.Height), dataProvider.CoordEnvelope, dataProvider.SpatialRef);
IInterestedRaster <double> iir = null;
try
{
visitor.VisitPixel(new int[] { 1 }, (index, values) =>
{
if (values[0] == 0)
{
memresult.Put(index, 0);
}
else
{
pixelArea = RasterOperator <Int16> .ComputePixelArea(index / dataProvider.Width, dataProvider.CoordEnvelope.MaxY, dataProvider.ResolutionY);
memresult.Put(index, pixelArea * values[0]);
}
});
RasterIdentify id = new RasterIdentify();
id.ThemeIdentify = "CMA";
id.ProductIdentify = "SNW";
id.SubProductIdentify = "0SDC";
id.GenerateDateTime = DateTime.Now;
iir = new InterestedRaster <double>(id, new Size(dataProvider.Width, dataProvider.Height), dataProvider.CoordEnvelope.Clone());
iir.Put(memresult);
return(iir.FileName);
}
finally
{
if (iir != null)
{
iir.Dispose();
}
if (visitor != null)
{
visitor.Dispose();
}
if (timeResult != null)
{
timeResult.Dispose();
}
if (File.Exists(timeResult.FileName))
{
File.Delete(timeResult.FileName);
}
}
}
return(null);
}
private IExtractResult LAODAlgorithm(Action <int, string> progressTracker)
{
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
string[] files = GetStringArray("SelectedPrimaryFiles");
if (files == null || files.Length == 0)
{
return(null);
}
string[] argFileArg = _argumentProvider.GetArg("RegionFileName") as string[];
string argFileName = argFileArg[0];
if (string.IsNullOrEmpty(argFileName))
{
PrintInfo("请设置等级参数文件！");
return(null);
}
SortedDictionary <float, float[]> levelRegions = GetArgFileRegion(argFileName);
if (levelRegions == null || levelRegions.Count == 0)
{
return(null);
}
string AODFile = Convert.ToString(_argumentProvider.GetArg("AODFile"));
if (string.IsNullOrWhiteSpace(AODFile))
{
return(null);
}
string[] aodFiles = AODFile.Split(new char[] { ',' });
if (aodFiles.Length != 2)
{
return(null);
}
string aodFile = aodFiles[0];
int bandNo = 1;
IBandNameRaster bandNameRaster = _argumentProvider.DataProvider as IBandNameRaster;
int aodNo = TryGetBandNo(bandNameRaster, "AODNO");
List <RasterMaper> rms = new List <RasterMaper>();
try
{
IRasterDataProvider dblv = RasterDataDriver.Open(files[0]) as IRasterDataProvider;
RasterMaper rmDBLV = new RasterMaper(dblv, new int[] { bandNo });
rms.Add(rmDBLV);
IRasterDataProvider aod = RasterDataDriver.Open(aodFile) as IRasterDataProvider;
if (aod.BandCount < bandNo)
{
PrintInfo("请选择正确的AOD数据进行定量产品计算。");
return(null);
}
RasterMaper rmAOD = new RasterMaper(aod, new int[] { aodNo });
rms.Add(rmAOD);
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(files);
string outFileName = MifEnvironment.GetTempDir() + "\\" + ri.ToWksFileName(".dat");
bool isVaild = false;
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
for (int index = 0; index < dataLength; index++)
{
if (rvInVistor[0].RasterBandsData != null && rvInVistor[0].RasterBandsData[0] != null &&
rvInVistor[0].RasterBandsData[0][index] != 0)
{
if (rvInVistor[1].RasterBandsData != null && rvInVistor[1].RasterBandsData[0] != null)
{
foreach (float minValue in levelRegions.Keys)
{
if (rvInVistor[1].RasterBandsData[0][index] >= minValue && rvInVistor[1].RasterBandsData[0][index] < levelRegions[minValue][0])
{
rvOutVistor[0].RasterBandsData[0][index] = (Int16)levelRegions[minValue][1];
isVaild = true;
}
}
if (!isVaild)
{
rvOutVistor[0].RasterBandsData[0][index] = (Int16)1;
}
isVaild = false;
}
}
}
}));
//执行
rfr.Excute();
if (File.Exists(outFileName))
{
string dstFilename = ri.ToWksFullFileName(".dat");
CopyFileToDstDir(outFileName, dstFilename);
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, dstFilename, true);
res.SetDispaly(false);
CreateThemegrahic(dstFilename);
return(res);
}
return(null);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
private IExtractResult TFREAlgorithm(Action <int, string> progressTracker)
{
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
string[] files = GetStringArray("SelectedPrimaryFiles");
if (files == null || files.Length == 0)
{
return(null);
}
//IInterestedRaster<Int16> timeResult = null;
//RasterIdentify identify = new RasterIdentify(files);
//identify.SubProductIdentify = _subProductDef.Identify;
//timeResult = roper.Times(files, identify, progressTracker, (dstValue, srcValue) =>
// {
// return (Int16)(srcValue == 0 ? dstValue : dstValue++);
// });
//if (timeResult == null)
// return null;
//timeResult.Dispose();
//string workFilename = identify.ToWksFullFileName(".dat");
//File.Copy(timeResult.FileName, workFilename, true);
//return new FileExtractResult("HAZ", workFilename, true);
int bandNo = 1;
List <RasterMaper> rms = new List <RasterMaper>();
try
{
for (int i = 0; i < files.Length; i++)
{
IRasterDataProvider inRaster = RasterDataDriver.Open(files[i]) as IRasterDataProvider;
if (inRaster.BandCount < bandNo)
{
PrintInfo("请选择正确的数据进行最大值合成。");
return(null);
}
RasterMaper rm = new RasterMaper(inRaster, new int[] { bandNo });
rms.Add(rm);
}
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(files);
string outFileName = ri.ToWksFullFileName(".dat");
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
for (int index = 0; index < dataLength; index++)
{
foreach (RasterVirtualVistor <Int16> rvs in rvInVistor)
{
if (rvs.RasterBandsData != null && rvs.RasterBandsData[0] != null &&
rvs.RasterBandsData[0][index] != 0)
{
rvOutVistor[0].RasterBandsData[0][index]++;
}
}
}
}));
//执行
rfr.Excute();
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
return(res);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
public override IExtractResult Make(Action <int, string> progressTracker)
{
if (_argumentProvider == null || _argumentProvider.GetArg("AlgorithmName") == null)
{
return(null);
}
if (_argumentProvider.GetArg("AlgorithmName").ToString() == "FLLS")
{
string[] files = GetStringArray("SelectedPrimaryFiles");
if (files == null || files.Count() == 0)
{
return(null);
}
foreach (string file in files)
{
if (!File.Exists(file))
{
return(null);
}
}
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
IInterestedRaster <Int16> timeResult = null;
DataIdentify di = GetDataIdentify();
timeResult = roper.Times(files, CreatRasterIndetifyId(files, "FLD", "FLLS", di, null, null), (dstValue, srcValue) =>
{
//泛滥水体值==4
if (srcValue == 4)
{
return(++dstValue);
}
else
{
return(dstValue);
}
});
if (timeResult != null && !string.IsNullOrEmpty(timeResult.FileName) && File.Exists(timeResult.FileName))
{
//发生[1,5)次
StatResultItem[] lowResults = null;
//发生[5,10)次
StatResultItem[] midResults = null;
//发生十次及十次以上
StatResultItem[] highResults = null;
IStatAnalysisEngine <Int16> exe = new StatAnalysisEngine <Int16>();
using (IRasterDataProvider prd = timeResult.HostDataProvider)
{
lowResults = exe.StatArea(prd, "省级行政区+土地利用类型", (srcValue) =>
{
if (srcValue >= 1 && srcValue < 5)
{
return(true);
}
else
{
return(false);
}
});
if (files.Count() >= 5)
{
midResults = exe.StatArea(prd, "省级行政区+土地利用类型", (srcValue) =>
{
if (srcValue >= 5 && srcValue < 10)
{
return(true);
}
else
{
return(false);
}
});
}
if (files.Count() >= 10)
{
highResults = exe.StatArea(prd, "省级行政区+土地利用类型", (srcValue) =>
{
if (srcValue >= 10)
{
return(true);
}
else
{
return(false);
}
});
}
}
List <StatResultItem> resultList = new List <StatResultItem>();
if (lowResults != null && lowResults.Count() > 0)
{
foreach (StatResultItem item in lowResults)
{
item.Name += "_1-5次";
}
resultList.AddRange(lowResults);
}
if (midResults != null && midResults.Count() > 0)
{
foreach (StatResultItem item in midResults)
{
item.Name += "_5-10次";
}
resultList.AddRange(midResults);
}
if (highResults != null && highResults.Count() > 0)
{
foreach (StatResultItem item in midResults)
{
item.Name += "_10次以上";
}
resultList.AddRange(highResults);
}
FileExtractResult fileResult = null;
if (resultList != null && resultList.Count() > 0)
{
string filename = StatResultToFile(files, resultList.ToArray(), "FLD", "FLLS", "水情泛滥历时面积", null);
fileResult = new FileExtractResult("FLLS", filename);
}
timeResult.Dispose();
File.Delete(timeResult.FileName);
return(fileResult);
}
return(null);
}
return(null);
}
