/// <summary>
/// 模拟结束事件监听辅助函数
/// </summary>
protected void SimulateEndHelper(BaseCa ca)
{
// 将模拟结果添加到系统中
double[] buffer = ca.BeginBuffer;
int width = ca.Width;
int height = ca.Height;
//var map = GIS.FrameWork.Application.App.Map;
// 保存输出结果
var path = Application.StartupPath + @"\log";
if (!Directory.Exists(path)) //如果不存在就创建file文件夹
{
Directory.CreateDirectory(path); //创建该文件夹
}
var outputPath = path + @"\" + (dateNow.ToString("MMddyyhhmmss")) + (this.uuid++) + ".tif";
OSGeo.GDAL.Driver driverSave = OSGeo.GDAL.Gdal.GetDriverByName("GTiff");
OSGeo.GDAL.Dataset datasetSave = driverSave.Create(outputPath, width, height, 1, OSGeo.GDAL.DataType.GDT_Byte, null);
datasetSave.WriteRaster(0, 0, width, height, buffer, width, height, 1, new int[1] {
1
}, 0, 0, 0);
datasetSave.SetProjection(ca.projStr);
datasetSave.SetGeoTransform(ca.geoTransform);
datasetSave.GetRasterBand(1).SetNoDataValue(ca.noDataVal);
datasetSave.FlushCache();
datasetSave.Dispose();
driverSave.Dispose();
//// 翻转图像 ？
//buffer = InvertImage(buffer, width, height);
MessageBox.Show("模拟结束, 输出文件：" + outputPath);
//// 新建 GDAL dataset
//OSGeo.GDAL.Driver driver = OSGeo.GDAL.Gdal.GetDriverByName("MEM");
//OSGeo.GDAL.Dataset dataset = driver.Create("", width, height, 1, OSGeo.GDAL.DataType.GDT_Float64, null);
//dataset.WriteRaster(0, 0, width, height, buffer, width, height, 1, new int[1] { 1 }, 0, 0, 0);
//// 将GDAL dataset转化为IRaster数据集
//DotSpatial.Data.IRaster raster = GIS.GDAL.RasterConverter.Gdal2DSRaster(dataset, 1);
//raster.Name = "Result";
//map.Layers.Add(raster);
}
private void regression(List <Cell> samplePoints)
{
// 构造输入输出数据集
// 样本数目
int COUNT = samplePoints.Count;
// 构造输入和输出数据集
double[][] inputs = new double[COUNT][];
bool[] outputs = new bool[COUNT];
for (int i = 0; i < COUNT; i++)
{
Cell cell = samplePoints[i];
int pos = cell.row * width + cell.col;
inputs[i] = (from buffer in driveBuffers
select buffer[pos]).ToArray <double>();
outputs[i] = cell.type;
}
var learner = new IterativeReweightedLeastSquares <Accord.Statistics.Models.Regression.LogisticRegression>()
{
Tolerance = 1e-8, // 收敛参数
Iterations = 20, // 最大循环数目
Regularization = 0,
ComputeStandardErrors = true
};
Accord.Statistics.Models.Regression.LogisticRegression regression = learner.Learn(inputs, outputs);
// 输出 odds
StringBuilder strb = new StringBuilder();
for (int i = 0; i <= inputs[0].Length; i++)
{
strb.AppendLine(" " + i + " : " + regression.GetOddsRatio(i));
}
updateConsoleEvent(strb.ToString());
// 输出 weights
StringBuilder strw = new StringBuilder();
strw.AppendLine("权重系数：");
strw.AppendLine("截距: " + regression.Intercept.ToString());
var weights = regression.Weights;
for (int i = 0; i < weights.Length; i++)
{
strw.AppendLine("权重" + (i + 1) + ":" + weights[i]);
}
updateConsoleEvent(strw.ToString());
double[] result = new double[width * height];
double minProp = double.MaxValue;
double[] minInput = null;
for (int row = 0; row < height; row++)
{
for (int col = 0; col < width; col++)
{
int pos = row * width + col;
if (beginBuffer[pos] < 0 || !IsValid(pos))
{
result[pos] = this.landUse.NullInfo.LandUseTypeValue;
continue;
}
double[] input = (from buffer in driveBuffers
select buffer[pos]).ToArray <double>();
double prop = regression.Probability(input);
if (prop < minProp)
{
minProp = prop;
minInput = input;
}
result[pos] = prop;
}
}
// 新建 GDAL dataset
OSGeo.GDAL.Driver driver = OSGeo.GDAL.Gdal.GetDriverByName("GTIFF");
OSGeo.GDAL.Dataset dataset = driver.Create(this.ResultLayerName, width, height, 1, OSGeo.GDAL.DataType.GDT_Float64, null);
dataset.WriteRaster(0, 0, width, height, result, width, height, 1, new int[1] {
1
}, 0, 0, 0);
dataset.FlushCache();
}
/// <summary>
/// DotSpatial to Gdal at Raster Level
/// </summary>
/// <param name="raster">Dotspatial Raster</param>
/// <param name="options">Set Options When Gdal Create Dataset. Default is null.</param>
/// <param name="bandMap">Gdal WriteRaster Method Need to Set BandMap</param>
/// <returns>Gdal Dataset</returns>
public static OSGeo.GDAL.Dataset Ds2GdalRaster(DotSpatial.Data.IRaster raster, string[] options, int[] bandMap)
{
OSGeo.GDAL.Dataset result = null;
OSGeo.GDAL.Driver driver = OSGeo.GDAL.Gdal.GetDriverByName("MEM");
OSGeo.GDAL.DataType dataType;
string rasterDataType = raster.DataType.ToString().ToUpper();
switch (rasterDataType)
{
case "SYSTEM.INT32":
case "SYSTEM.LONG":
dataType = OSGeo.GDAL.DataType.GDT_Int32;
break;
case "SYSTEM.SHORT":
dataType = OSGeo.GDAL.DataType.GDT_Int16;
break;
case "SYSTEM.DOUBLE":
case "SYSTEM.SINGLE":
dataType = OSGeo.GDAL.DataType.GDT_Float64;
break;
case "SYSTEM.FLOAT":
dataType = OSGeo.GDAL.DataType.GDT_Float32;
break;
case "SYSTEM.BYTE":
dataType = OSGeo.GDAL.DataType.GDT_Byte;
break;
default:
dataType = OSGeo.GDAL.DataType.GDT_Int16;
break;
}
result = driver.Create("", raster.NumColumnsInFile, raster.NumRowsInFile, 1, dataType, options);
///地理坐标信息
result.SetGeoTransform(raster.Bounds.AffineCoefficients);
///投影设置 Set Projection
result.SetProjection(raster.Projection.ToProj4String());
///波段个数
int bandNum = raster.NumBands;
if (bandNum < 1)
{
bandNum = 1;
}
///赋值
switch (rasterDataType)
{
case "SYSTEM.INT32":
case "SYSTEM.LONG":
result.WriteRaster(0, 0, raster.NumColumns, raster.NumRows, DS2GdalValue <int>(raster), raster.NumColumns, raster.NumRows, bandNum, bandMap, 0, 0, 0);
break;
case "SYSTEM.SHORT":
result.WriteRaster(0, 0, raster.NumColumns, raster.NumRows, DS2GdalValue <short>(raster), raster.NumColumns, raster.NumRows, bandNum, bandMap, 0, 0, 0);
break;
case "SYSTEM.DOUBLE":
case "SYSTEM.SINGLE":
result.WriteRaster(0, 0, raster.NumColumns, raster.NumRows, DS2GdalValue <double>(raster), raster.NumColumns, raster.NumRows, bandNum, bandMap, 0, 0, 0);
break;
case "SYSTEM.FLOAT":
result.WriteRaster(0, 0, raster.NumColumns, raster.NumRows, DS2GdalValue <float>(raster), raster.NumColumns, raster.NumRows, bandNum, bandMap, 0, 0, 0);
break;
case "SYSTEM.BYTE":
result.WriteRaster(0, 0, raster.NumColumns, raster.NumRows, DS2GdalValue <byte>(raster), raster.NumColumns, raster.NumRows, bandNum, bandMap, 0, 0, 0);
break;
default:
result.WriteRaster(0, 0, raster.NumColumns, raster.NumRows, DS2GdalValue <int>(raster), raster.NumColumns, raster.NumRows, bandNum, bandMap, 0, 0, 0);
break;
}
return(result);
}
