/// <summary>
/// 当向导页的新一页出现前可以做的该页初始化工作。
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void wizardLogistcCA_AfterSwitchPages(object sender, CristiPotlog.Controls.Wizard.AfterSwitchPagesEventArgs e)
{
//切换至逻辑回归计算页时，应首先读取地图图层信息，填写部分控件
if (e.OldIndex == 1 && e.NewIndex == 2)
{
//如果不是第一次打开窗体，则再次读取地图数据
application = ArcMap.Application;
document = application.Document as IMxDocument;
map = document.FocusMap;
ArcGISOperator.FoucsMap = document.FocusMap;
//如果图层选择框为空
if (comboBoxTrainingStartImage.Items.Count == 0)
{
for (int i = 0; i < map.LayerCount; i++)
{
string layerName = map.get_Layer(i).Name;
comboBoxTrainingStartImage.Items.Add(layerName);
comboBoxTrainingEndImage.Items.Add(layerName);
comboBoxSimStartImage.Items.Add(layerName);
comboBoxSimEndImage.Items.Add(layerName);
}
}
}
//切换到土地利用类型设置页时首先获取图层信息，然后填充土地利用类型
else if (e.OldIndex == 2 && e.NewIndex == 3)
{
listVariableLayersName.Clear();
trainingStartImageName = comboBoxTrainingStartImage.SelectedItem.ToString();
trainingEndImageName = comboBoxTrainingEndImage.SelectedItem.ToString();
for (int i = 0; i < dataGridViewVariableDatas.Rows.Count; i++)
{
listVariableLayersName.Add(dataGridViewVariableDatas.Rows[i].Cells[0].Value.ToString());
}
//如果已经完成了回归，则不再进行
if (isRegressed)
{
return;
}
dataGridViewLandUse.Rows.Clear();
IRasterLayer rasterLayer = ArcGISOperator.GetRasterLayerByName(trainingStartImageName);
IRasterUniqueValueRenderer rasterUniqueValueRenderer = (IRasterUniqueValueRenderer)rasterLayer.Renderer;
IRasterRendererUniqueValues rasterRendererUniqueValues = (IRasterRendererUniqueValues)rasterUniqueValueRenderer;
IUniqueValues uniqueValues = rasterRendererUniqueValues.UniqueValues;
List <object> listUniqueValues = new List <object>();
for (int i = 0; i < uniqueValues.Count; i++)
{
listUniqueValues.Add(uniqueValues.get_UniqueValue(i));
}
int classCount = rasterUniqueValueRenderer.get_ClassCount(0);
for (int i = 0; i < classCount; i++)
{
dataGridViewLandUse.Rows.Add();
dataGridViewLandUse.Rows[i].Cells[0].Value = listUniqueValues[i];
dataGridViewLandUse.Rows[i].Cells[1].Value = rasterUniqueValueRenderer.get_Label(0, i);
ISymbol symbol = rasterUniqueValueRenderer.get_Symbol(0, i);
IFillSymbol fillSymbol = symbol as IFillSymbol;
//ISimpleFillSymbol simpleFillSymbol = (ISimpleFillSymbol)symbol;
//IColor esriColor = simpleFillSymbol.Color;
IColor esriColor = fillSymbol.Color;
IRgbColor rgbColor = new RgbColorClass();
rgbColor.CMYK = esriColor.CMYK;
Color color = Color.FromArgb(rgbColor.Red, rgbColor.Green, rgbColor.Blue);
dataGridViewLandUse.Rows[i].Cells[3].Value =
GeneralOpertor.GetBitmap(15, 15, color);
}
ColumnLUCharacter.Items.Clear();
ColumnLUCharacter.Items.Add(resourceManager.GetString("String6"));
ColumnLUCharacter.Items.Add(resourceManager.GetString("String7"));
ColumnLUCharacter.Items.Add(resourceManager.GetString("String8"));
}
//切换到逻辑回归计算页面时进行计算
if (e.OldIndex == 3 && e.NewIndex == 4)
{
if (isRegressed)
{
return;
}
dataGridViewLogisticRegressionCoeff.Rows.Clear();
labelCalculte.Text = resourceManager.GetString("String9");
labelCalculte.Visible = true;
progressBarCalculate.Visible = true;
Application.DoEvents();
//1.读取起始图像、终止图像、各变量图像为数组
IRasterLayer rasterLayerStartImage = ArcGISOperator.GetRasterLayerByName(comboBoxTrainingStartImage.SelectedItem.ToString());
IRasterLayer rasterLayerEndImage = ArcGISOperator.GetRasterLayerByName(comboBoxTrainingEndImage.SelectedItem.ToString());
RasterSampling rasterSampling = new RasterSampling();
labelCalculte.Text = resourceManager.GetString("String12");
Application.DoEvents();
List <int> notNullRows;
List <int> notNullColumns;
trainingStartImage = ArcGISOperator.ReadRasterAndGetNotNullRowColumn(rasterLayerStartImage, out structRasterMetaData,
out notNullRows, out notNullColumns);
//获取最小空间范围
List <IRasterLayer> listVariablesLayers = new List <IRasterLayer>();
for (int i = 0; i < listVariableLayersName.Count; i++)
{
listVariablesLayers.Add(ArcGISOperator.GetRasterLayerByName(listVariableLayersName[i]));
}
ArcGISOperator.GetSmallestBound(rasterLayerStartImage, rasterLayerEndImage, listVariablesLayers, ref structRasterMetaData);
labelCalculte.Text = resourceManager.GetString("String13");
Application.DoEvents();
trainingEndImage = ArcGISOperator.ReadRaster(rasterLayerEndImage, structRasterMetaData.NoDataValue);
float[,] changeImage = GeneralOpertor.GetBinaryImageByTwoImages(trainingStartImage, trainingEndImage, structRasterMetaData.RowCount,
structRasterMetaData.ColumnCount, structRasterMetaData.NoDataValue);
//GeneralOpertor.WriteDataFloat(GetOutputFolder() + @"\lr_change.txt", changeImage, structRasterMetaData.RowCount, structRasterMetaData.ColumnCount);
foreach (string layerName in listVariableLayersName)
{
labelCalculte.Text = resourceManager.GetString("String14") + layerName + ".....";
Application.DoEvents();
varibaleImages.Add(ArcGISOperator.ReadRaster(ArcGISOperator.GetRasterLayerByName(layerName), structRasterMetaData.NoDataValue));
}
//2.按设置的比例进行随机抽样，得到抽样结果，然后计算
//1.进行抽样
labelCalculte.Text = resourceManager.GetString("String11");
Application.DoEvents();
int samplingCellsCount = (int)(structRasterMetaData.RowCount * structRasterMetaData.ColumnCount * numericUpDownSamplingPrecent.Value / 100);
float[,] datas = new float[samplingCellsCount, listVariableLayersName.Count + 1];
//抽取真值的比例默认设置为一半
datas = rasterSampling.SamplingData(varibaleImages, changeImage, (double)numericUpDownSamplingPrecent.Value,
50, structRasterMetaData, notNullRows, notNullColumns);
//2.进行计算
labelCalculte.Text = resourceManager.GetString("String9");
Application.DoEvents();
//输出抽样结果数据
//GeneralOpertor.WriteDataFloat(GetOutputFolder() + @"\lrSamplingData.txt", datas,
// rasterSampling.SamplingCellsCount, listVariableLayersName.Count + 1);
//3.使用Accord.NET进行逻辑回归计算
labelCalculte.Text = resourceManager.GetString("String9");
Application.DoEvents();
LogisticRegression lr = new LogisticRegression();
double[] odds;
double[] stde;
double[] min;
double[] max;
lr.LogisticRegresssionAanlysis(datas, rasterSampling.SamplingCellsCount, listVariableLayersName.Count + 1,
out coef, out odds, out stde, out min, out max);
for (int i = 0; i < listVariableLayersName.Count + 1; i++)
{
dataGridViewLogisticRegressionCoeff.Rows.Add();
if (i == 0)
{
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[0].Value = resourceManager.GetString("String15");
}
else
{
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[0].Value = listVariableLayersName[i - 1];
}
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[1].Value = coef[i];
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[2].Value = odds[i];
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[3].Value = stde[i];
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[4].Value = max[i];
dataGridViewLogisticRegressionCoeff.Rows[i].Cells[5].Value = min[i];
}
labelCalculte.Visible = false;
progressBarCalculate.Visible = false;
Application.DoEvents();
isRegressed = true;
}
//切换到模拟参数设置页时给定控件初始值，同时保存模拟数据信息
else if (e.OldIndex == 4 && e.NewIndex == 5)
{
if (comboBoxSimEndImage.SelectedIndex == -1)
{
buttonCalConvertCells.Enabled = false;
}
else
{
buttonCalConvertCells.Enabled = true;
}
}
//切换到模拟过程参数设置页时给定控件初始值，同时保存模拟参数信息
else if (e.OldIndex == 5 && e.NewIndex == 6)
{
simulationStartImageName = comboBoxSimStartImage.SelectedItem.ToString();
if (comboBoxSimEndImage.SelectedIndex != -1)
{
simulationEndImageName = comboBoxSimEndImage.SelectedItem.ToString();
}
convertCount = Convert.ToInt32(numericUpDownConvertCount.Value);
simulationIterations = Convert.ToInt32(numericUpDownIterations.Value);
delta = Convert.ToInt32(numericUpDownDelta.Value);
numericUpDownRefresh.Value = 10;
numericUpDownOutputImage.Value = 10;
outputFolder = GetOutputFolder();
textBoxOutputFolder.Text = outputFolder;
}
//切换到完成页时填充摘要，同时保存模拟过程输出参数的信息
else if (e.OldIndex == 6 && e.NewIndex == 7)
{
refreshInterval = Convert.ToInt32(numericUpDownRefresh.Value);
outputImageInterval = Convert.ToInt32(numericUpDownOutputImage.Value);
if (radioButtonOutput.Checked)
{
isOutput = true;
}
else
{
isOutput = false;
}
outputFolder = textBoxOutputFolder.Text;
textBoxSummay.Text = WriteSummay();
}
}