//TODO
private void Export2Shp_Clicked(object sender, EventArgs e)
{
var dc = DataContext as IDendritiRecord <ObservationSeries>;
if (dc != null)
{
SaveFileDialog dlg = new SaveFileDialog();
dlg.Filter = "csv file|*.csv";
dlg.FileName = dc.Name + ".csv";
if (dlg.ShowDialog() == DialogResult.OK)
{
if (dc.Tag is Heiflow.Core.Data.ODM.Variable)
{
CSVFileStream csv = new CSVFileStream(dlg.FileName);
string content = "SiteName,SiteID,Longitude,Latitude,Max,Min,Average,NoDataValue,StandardDeviation,Count\n";
foreach (var record in dc.Children)
{
var site = record.Value.Site;
var statinfo = ODMSource.GetValueStatistics(record.Value);
content += string.Format("{0},{1},{2},{3},{4}\n", site.Name, site.ID, site.Longitude, site.Latitude, statinfo.ToString());
}
content.Trim(TypeConverterEx.Enter);
csv.Save(content);
}
}
}
}
public override void CustomExport(DataTable source)
{
if (source != null)
{
var sites = GetSites(source);
var setting = _ExportSetting as SiteExportSetting;
foreach (var site in sites)
{
var series = new ObservationSeries()
{
SiteID = site.ID,
VariableID = setting.VariableID
};
var ts = ODM.GetTimeSereis(series);
if (ts != null)
{
var filename = Path.Combine(setting.Directory, site.Name + ".csv");
var var_odm = ODM.GetVariable(setting.VariableID);
ts.Name = var_odm.Name;
CSVFileStream csv = new CSVFileStream(filename);
csv.Save(ts);
}
}
}
}
//TODO
private void Export2Excel_Clicked(object sender, EventArgs e)
{
var dc = DataContext as IDendritiRecord <ObservationSeries>;
if (dc != null && dc.Children.Count == 0)
{
SaveFileDialog dlg = new SaveFileDialog();
dlg.Filter = "csv file|*.csv";
dlg.FileName = dc.Name + ".csv";
if (dlg.ShowDialog() == DialogResult.OK)
{
var qc = new QueryCriteria()
{
SiteID = dc.Value.SiteID,
VariableID = dc.Value.VariableID,
AllTime = true
};
var ts = ODMSource.GetTimeSeries(qc);
if (ts != null)
{
CSVFileStream csvf = new CSVFileStream(dlg.FileName);
csvf.Save(ts);
}
}
}
}
public virtual void Export(string filename, System.Data.DataTable source)
{
if (source != null)
{
CSVFileStream csv = new CSVFileStream(filename);
csv.Save(source);
}
}
private void btnImport_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "csv file|*.csv";
if (dlg.ShowDialog() == DialogResult.OK)
{
CSVFileStream csv = new CSVFileStream(dlg.FileName);
var array = csv.LoadArray();
arrayGrid.DataSource = array;
}
}
private void btnSave2Excel_Click(object sender, EventArgs e)
{
var dt = this.bindingSource1.DataSource as DataTable;
if (dt != null)
{
SaveFileDialog sd = new SaveFileDialog();
sd.Filter = "csv file|*.csv";
sd.FileName = "table.csv";
if (sd.ShowDialog() == DialogResult.OK)
{
CSVFileStream csv = new CSVFileStream(sd.FileName);
csv.Save(dt);
}
}
}
private void btnExport_Click(object sender, EventArgs e)
{
if (_SelectedDataCubeMeta == null)
{
return;
}
SaveFileDialog dlg = new SaveFileDialog();
dlg.Filter = "csv file|*.csv";
dlg.FileName = _SelectedDataCubeMeta.Mat.Name + ".csv";
if (dlg.ShowDialog() == DialogResult.OK)
{
CSVFileStream csv = new CSVFileStream(dlg.FileName);
csv.Save(arrayGrid.DataSource, _SelectedDataCubeMeta.Mat.Variables);
}
}
private void btnImport_Click(object sender, EventArgs e)
{
var dt = bindingSource1.DataSource as DataTable;
if (dt != null)
{
OpenFileDialog sd = new OpenFileDialog();
sd.Filter = "csv file|*.csv";
if (sd.ShowDialog() == DialogResult.OK)
{
CSVFileStream csv = new CSVFileStream(sd.FileName);
csv.LoadTo(dt);
this.bindingSource1.DataSource = dt;
this.dataGridView1.DataSource = bindingSource1;
}
}
}
private void btnExport_Click(object sender, EventArgs e)
{
var dt = dataGridEx1.DataTable;
if (dt == null)
{
return;
}
SaveFileDialog sd = new SaveFileDialog();
sd.Filter = "csv file|*.csv";
sd.FileName = "table.csv";
if (sd.ShowDialog() == DialogResult.OK)
{
CSVFileStream csv = new CSVFileStream(sd.FileName);
csv.Save(dt);
}
}
public override bool Execute(DotSpatial.Data.ICancelProgressHandler cancelProgressHandler)
{
DataCubeStreamReader ds = new DataCubeStreamReader(CloudCoverFileName);
ds.LoadDataCube();
var cloudcover = ds.DataCube;
CSVFileStream locationcsv = new CSVFileStream(LocationFileName);
var locations = locationcsv.Load <double>();
StreamReader sr_dates = new StreamReader(DateTimeFileName);
int ndays = cloudcover.Size[1];
int nlocation = cloudcover.Size[2];
var dates = new DateTime[ndays];
int progress = 0;
int np = 1;
var swmat = new DataCube <float>(cloudcover.Size[0], cloudcover.Size[1], cloudcover.Size[2]);
swmat.Name = OutputName;
for (int i = 0; i < ndays; i++)
{
var line = sr_dates.ReadLine();
dates[i] = DateTime.Parse(line);
}
sr_dates.Close();
for (int i = 0; i < ndays; i++)
{
for (int j = 0; j < nlocation; j++)
{
swmat[0, i, j] = (float)_ShortWaveRadiation.DailyIncomingRadiationIntensity(locations.GetValue(j, 1), locations.GetValue(j, 0), dates[i], cloudcover[0, i, j]);
}
progress = i * 100 / ndays;
if (progress == 5 * np)
{
cancelProgressHandler.Progress("Package_Tool", progress, "Processing step: " + progress + "%");
np++;
}
}
Workspace.Add(swmat);
return(true);
}
public override bool Execute(DotSpatial.Data.ICancelProgressHandler cancelProgressHandler)
{
var fs_source = FeatureSet.Open(SourceFeatureFile);
var fs_target = FeatureSet.Open(TargetFeatureFile);
CSVFileStream csv = new CSVFileStream(DataFileName);
var ts_data = csv.Load <double>();
cancelProgressHandler.Progress("Package_Tool", 1, "Time series at known sites loaded");
int nsource_sites = fs_source.DataTable.Rows.Count;
int ntar_sites = fs_target.DataTable.Rows.Count;
int nstep = ts_data.Size[0];
int nsite_data = ts_data.Size[1];
int progress = 0;
double sumOfDis = 0;
double sumOfVa = 0;
if (nsite_data != nsource_sites)
{
cancelProgressHandler.Progress("Package_Tool", 100, "the number of sites in the data file dose not match to that in the source feature file");
return(false);
}
else
{
if (Neighbors > nsource_sites)
{
Neighbors = nsource_sites;
}
var known_sites = new Site[nsource_sites];
DataCube <float> mat = new DataCube <float>(1, nstep, ntar_sites);
mat.DateTimes = new DateTime[nstep];
mat.Name = OutputMatrix;
mat.TimeBrowsable = true;
mat.AllowTableEdit = false;
double[][] xvalues = new double[nsource_sites][];
double[] yvalues = new double[nsource_sites];
for (int i = 0; i < nsource_sites; i++)
{
var cor = fs_source.Features[i].Geometry.Coordinate;
var ele = double.Parse(fs_source.Features[i].DataRow[_ValueField].ToString());
xvalues[i] = new double[3];
known_sites[i] = new Site()
{
LocalX = cor.X,
LocalY = cor.Y,
ID = i,
Elevation = ele
};
xvalues[i][0] = cor.X;
xvalues[i][1] = cor.Y;
xvalues[i][2] = ele;
}
for (int i = 0; i < nsource_sites; i++)
{
var count = 0;
double sum = 0;
for (int t = 0; t < nstep; t++)
{
if (ts_data.GetValue(t, i) < MaximumValue)
{
sum += ts_data.GetValue(t, i);
count++;
}
}
yvalues[i] = sum / count;
}
MultipleLinearRegression mlineRegrsn = new MultipleLinearRegression(xvalues, yvalues, true);
Matrix result = new Matrix();
mlineRegrsn.ComputeFactorCoref(result);
double[] coeffs = result[0, Matrix.mCol];
var cx = coeffs[0];
var cy = coeffs[1];
var ce = coeffs[2];
cancelProgressHandler.Progress("Package_Tool", 2, "Regression coefficients calculated");
for (int i = 0; i < ntar_sites; i++)
{
var cor = fs_target.Features[i].Geometry.Coordinate;
var site_intep = new Site()
{
LocalX = cor.X,
LocalY = cor.Y,
ID = i,
Elevation = double.Parse(fs_target.Features[i].DataRow[_ValueField].ToString())
};
var neighborSites = FindNeareastSites(Neighbors, known_sites, site_intep);
for (int j = 0; j < nstep; j++)
{
sumOfDis = 0;
sumOfVa = 0;
foreach (var nsite in neighborSites)
{
var vv = ts_data.GetValue(j, nsite.ID);
if (vv < MaximumValue)
{
double temp = 1 / System.Math.Pow(nsite.Distance, Power);
double gd = (site_intep.LocalX - nsite.LocalX) * cx + (site_intep.LocalY - nsite.LocalY) * cy + (site_intep.Elevation - nsite.Elevation) * ce;
sumOfVa += vv * temp;
sumOfDis += temp;
}
}
if (sumOfDis != 0)
{
mat[0, j, i] = (float)(sumOfVa / sumOfDis);
if (!AllowNegative && mat[0, j, i] < 0)
{
mat[0, j, i] = MinmumValue;
}
}
else
{
mat[0, j, i] = MinmumValue;
}
}
progress = (i + 1) * 100 / ntar_sites;
cancelProgressHandler.Progress("Package_Tool", progress, "Caculating Cell: " + (i + 1));
}
for (int j = 0; j < nstep; j++)
{
mat.DateTimes[j] = Start.AddSeconds(j * TimeStep);
}
cancelProgressHandler.Progress("Package_Tool", 100, "");
Workspace.Add(mat);
fs_source.Close();
fs_target.Close();
return(true);
}
}
public override bool Execute(DotSpatial.Data.ICancelProgressHandler cancelProgressHandler)
{
//SaveObj();
//return true;
EcoDemandFile = @"E:\Project\HRB\水库调度\Process\WithDraw Input File\eco_demand_full.csv";
int[] mid_zone_id = new int[] { 10, 11, 12, 13, 14, 15, 16, 17, 18, 22, 23, 24, 25, 28, 29, 30, 31 };
string[] quo_fn = new string[] { @"E:\Project\HRB\水库调度\Process\WithDraw Input File\unit2000.txt",
@"E:\Project\HRB\水库调度\Process\WithDraw Input File\unit2007.txt",
@"E:\Project\HRB\水库调度\Process\WithDraw Input File\unit2011.txt" };
string out_dic = @"E:\Project\HRB\水库调度\Scenario\2018-7-29\";
string[] folders = new string[] { "SLN0", "SLN1", "SLN2", "SLN3_GW" };
//for (int f = 0; f < 4; f++)
//{
int f = 3;
EcoSolutionColIndex = 3;
for (int k = 0; k < 3; k++)
{
QuotaFileName = quo_fn[k];
if (k == 0)
{
StartCycle = 1;
EndCycle = 4;
OutputFileName = out_dic + folders[f] + "\\HRB_wra_2000.unit";
}
else if (k == 1)
{
StartCycle = 5;
EndCycle = 10;
OutputFileName = out_dic + folders[f] + "\\HRB_wra_2007.unit";
}
else if (k == 2)
{
StartCycle = 11;
EndCycle = 13;
OutputFileName = out_dic + folders[f] + "\\HRB_wra_2011.unit";
}
bool has_ecodemand = false;
int num_well_layer = 3;
int[] well_layer = new int[] { 1, 2, 3 };
double[] layer_ratio = new double[] { 0.6, 0.1, 0.3 };
int num_irrg_obj, num_indust_obj;
float[,] eco_demand = null;
StreamReader sr_quota = new StreamReader(QuotaFileName);
StreamWriter sw_out = new StreamWriter(OutputFileName);
string newline = "";
if (TypeConverterEx.IsNotNull(EcoDemandFile))
{
CSVFileStream csv = new CSVFileStream(EcoDemandFile);
csv.HasHeader = false;
eco_demand = csv.LoadFloatMatrix();
has_ecodemand = true;
}
int nquota = 1;
int ntime = 36;
var line = sr_quota.ReadLine();
var strs_buf = TypeConverterEx.Split <string>(line);
nquota = int.Parse(strs_buf[0]);
ntime = int.Parse(strs_buf[1]);
double[,] quota_src = new double[ntime, nquota];
double[,] quota = new double[366, nquota];
int day = 0;
var start = new DateTime(2000, 1, 1);
for (int i = 0; i < ntime; i++)
{
line = sr_quota.ReadLine().Trim();
var buf = TypeConverterEx.Split <string>(line);
var ss = DateTime.Parse(buf[0]);
var ee = DateTime.Parse(buf[1]);
var cur = ss;
var step = (ee - ss).Days + 1;
while (cur <= ee)
{
for (int j = 0; j < nquota; j++)
{
quota[day, j] = System.Math.Round(double.Parse(buf[2 + j]) / step, 2);
}
day++;
cur = cur.AddDays(1);
}
}
line = sr_quota.ReadLine().Trim();
var inttemp = TypeConverterEx.Split <int>(line.Trim());
num_irrg_obj = inttemp[0];
num_indust_obj = inttemp[1];
//ID NAME 地表水比例 用水类型 允许降深
line = sr_quota.ReadLine();
irrg_obj_list.Clear();
indust_obj_list.Clear();
ReadObj(sr_quota, num_irrg_obj, irrg_obj_list);
ReadObj(sr_quota, num_indust_obj, indust_obj_list);
newline = "# Water resources allocation package " + DateTime.Now;
sw_out.WriteLine(newline);
newline = string.Format("{0}\t{1}\t0\t0\t # num_irrg_obj, num_indu_obj, num_doms_obj, num_ecos_obj ", num_irrg_obj, num_indust_obj);
sw_out.WriteLine(newline);
sw_out.WriteLine("# irrigation objects");
for (int i = 0; i < num_irrg_obj; i++)
{
var obj = irrg_obj_list[i];
int oid = i + 1;
newline = string.Format("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t# oid, hrunum, iseg, ireach, num_well_layer, inlet_type {6}", obj.ID, obj.HRU_Num, obj.SegID, obj.ReachID, num_well_layer, obj.Inlet_Type, obj.Name);
sw_out.WriteLine(newline);
newline = string.Join("\t", obj.HRU_List);
sw_out.WriteLine(newline);
var canal_eff = new double[obj.HRU_Num];
var canal_ratio = new double[obj.HRU_Num];
for (int j = 0; j < obj.HRU_Num; j++)
{
canal_eff[j] = obj.Canal_Efficiency;
canal_ratio[j] = obj.Canal_Ratio;
}
newline = string.Join("\t", canal_eff);
sw_out.WriteLine(newline);
newline = string.Join("\t", canal_ratio);
sw_out.WriteLine(newline);
for (int j = 0; j < num_well_layer; j++)
{
newline = well_layer[j] + "\t" + layer_ratio[j] + " # well_layer layer_ratio";
sw_out.WriteLine(newline);
}
newline = string.Format("{0}\t# drawdown constaint of object {1}", irrg_obj_list[i].Drawdown, oid);
sw_out.WriteLine(newline);
newline = string.Format("{0}\t{1}\t{2}\t# inlet min flow, max flow and flow ratio for object {3}", irrg_obj_list[i].Inlet_MinFlow, irrg_obj_list[i].Inlet_MaxFlow, irrg_obj_list[i].Inlet_Flow_Ratio,
irrg_obj_list[i].ID);
sw_out.WriteLine(newline);
}
sw_out.WriteLine("# industrial objects");
for (int i = 0; i < num_indust_obj; i++)
{
var obj = indust_obj_list[i];
newline = string.Format("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t# oid, hrunum, iseg, ireach, num_well_layer, inlet_type {6}", obj.ID, obj.HRU_Num, obj.SegID, obj.ReachID, num_well_layer,
obj.Inlet_Type, obj.Name);
sw_out.WriteLine(newline);
newline = string.Format("{0}\t# hru_id_list", string.Join(" ", obj.HRU_List));
sw_out.WriteLine(newline);
for (int j = 0; j < num_well_layer; j++)
{
newline = well_layer[j] + "\t" + layer_ratio[j] + " # well_layer layer_ratio";
sw_out.WriteLine(newline);
}
newline = string.Format("{0}\t# drawdown constaint of object {1}", obj.Drawdown, obj.ID);
sw_out.WriteLine(newline);
newline = string.Format("{0}\t{1}\t{2}\t# inlet min flow, max flow and flow ratio for object {3}", obj.Inlet_MinFlow, obj.Inlet_MaxFlow, obj.Inlet_Flow_Ratio, obj.ID);
sw_out.WriteLine(newline);
newline = string.Format("{0}\t# return_ratio", 0);
sw_out.WriteLine(newline);
}
sw_out.WriteLine(StartCycle + " # cycle index");
sw_out.WriteLine("1 # quota_flag");
//if (has_ecodemand)
//{
// for (int i = 0; i < nquota; i++)
// {
// for (int j = 0; j < 366; j++)
// {
// if (eco_demand[j, EcoSolutionColIndex] > 0)
// quota[j, i] = 0;
// }
// }
//}
for (int i = 0; i < nquota; i++)
{
newline = "";
for (int j = 0; j < 366; j++)
{
newline += quota[j, i].ToString("0.0") + "\t";
}
newline += "quota of object " + (i + 1);
sw_out.WriteLine(newline);
}
newline = "# irrigation objects";
sw_out.WriteLine(newline);
newline = "1 1 1 1 1 # sw_ratio_flag, swctrl_factor_flag , gwctrl_factor_flag, Withdraw_type_flag,plantarea_flag";
sw_out.WriteLine(newline);
//地表水比例
for (int i = 0; i < num_irrg_obj; i++)
{
var ratio = irrg_obj_list[i].SW_Ratio;
//if (mid_zone_id.Contains(irrg_obj_list[i].ID))
//{
// ratio = ratio * sw_scale[k];
//}
newline = "";
for (int j = 0; j < 366; j++)
{
newline += ratio.ToString("0.00") + "\t";
}
newline += "#SW ratio of object " + irrg_obj_list[i].ID;
sw_out.WriteLine(newline);
}
//地表引水控制系数
for (int i = 0; i < num_irrg_obj; i++)
{
if (mid_zone_id.Contains(irrg_obj_list[i].ID) && has_ecodemand)
{
string str = "";
for (int j = 0; j < 366; j++)
{
if (eco_demand[j, EcoSolutionColIndex] > 0)
{
str += "0\t";
}
else
{
str += "1\t";
}
}
newline = string.Format("{0}\t#SW control factor of object {1}", str, irrg_obj_list[i].ID);
sw_out.WriteLine(newline);
}
else
{
newline = string.Format("{0}\t#SW control factor of object {1}", irrg_obj_list[i].SW_Cntl_Factor, irrg_obj_list[i].ID);
sw_out.WriteLine(newline);
}
}
//地下引水控制系数
for (int i = 0; i < num_irrg_obj; i++)
{
newline = string.Format("{0}\t#GW control factor of object {1}", irrg_obj_list[i].GW_Cntl_Factor, irrg_obj_list[i].ID);
sw_out.WriteLine(newline);
}
//作物类型
for (int i = 0; i < num_irrg_obj; i++)
{
newline = "";
for (int j = 0; j < irrg_obj_list[i].HRU_Num; j++)
{
newline += irrg_obj_list[i].ObjType + "\t";
}
newline += "# Plant type of object " + (i + 1);
sw_out.WriteLine(newline);
}
//种植面积
for (int i = 0; i < num_irrg_obj; i++)
{
newline = string.Join("\t", irrg_obj_list[i].HRU_Area);
newline += "\t" + "# Plant area of object " + irrg_obj_list[i].ID;
sw_out.WriteLine(newline);
}
newline = "# industrial objects";
sw_out.WriteLine(newline);
newline = "1 1 1 1 1 # sw_ratio_flag, swctrl_factor_flag , gwctrl_factor_flag, Withdraw_type_flag";
sw_out.WriteLine(newline);
for (int i = 0; i < num_indust_obj; i++)
{
newline = "";
var control = 1;
for (int j = 0; j < 366; j++)
{
newline += control + "\t";
}
newline += "# SW control factor of object " + (indust_obj_list[i].ID);
sw_out.WriteLine(newline);
}
//地表引水控制系数
for (int i = 0; i < num_indust_obj; i++)
{
newline = string.Format("{0}\t#SW control factor of object {1}", indust_obj_list[i].SW_Cntl_Factor, indust_obj_list[i].ID);
sw_out.WriteLine(newline);
}
//地下引水控制系数
for (int i = 0; i < num_indust_obj; i++)
{
newline = string.Format("{0}\t#GW control factor of object {1}", indust_obj_list[i].GW_Cntl_Factor, indust_obj_list[i].ID);
sw_out.WriteLine(newline);
}
//用水类型
for (int i = 0; i < num_indust_obj; i++)
{
var obj = indust_obj_list[i];
newline = string.Format("{0} # Withdraw type of object {1}", obj.ObjType, obj.ID);
sw_out.WriteLine(newline);
}
for (int i = StartCycle + 1; i <= EndCycle; i++)
{
sw_out.WriteLine(i + " # cycle index");
sw_out.WriteLine("-1 # quota_flag");
sw_out.WriteLine("# irrigation objects");
sw_out.WriteLine("-1 -1 -1 -1 -1 # sw_ratio_flag, swctrl_factor_flag , gwctrl_factor_flag, Withdraw_type_flag,plantarea_flag");
sw_out.WriteLine("# industrial objects");
sw_out.WriteLine("-1 -1 -1 -1 -1 # sw_ratio_flag, swctrl_factor_flag , gwctrl_factor_flag, Withdraw_type_flag");
}
sr_quota.Close();
sw_out.Close();
cancelProgressHandler.Progress("Package_Tool", 100, "Done");
}
//}
return(true);
}
public override bool Execute(DotSpatial.Data.ICancelProgressHandler cancelProgressHandler)
{
IFeatureSet fs_source = null;
IFeatureSet fs_target = null;
if (SourceFeatureLayer != null)
{
fs_source = SourceFeatureLayer.DataSet as IFeatureSet;
}
else if (TypeConverterEx.IsNotNull(SourceFeatureFile))
{
fs_source = FeatureSet.Open(SourceFeatureFile);
}
if (TargetFeatureLayer != null)
{
fs_target = TargetFeatureLayer.DataSet as IFeatureSet;
}
else if (TypeConverterEx.IsNotNull(TargetFeatureFile))
{
fs_target = FeatureSet.Open(TargetFeatureFile);
}
if (fs_source == null || fs_target == null)
{
cancelProgressHandler.Progress("Package_Tool", 100, "Failed. The inputs are invalid.");
return(false);
}
CSVFileStream csv = new CSVFileStream(DataFileName);
var ts_data = csv.Load <double>();
cancelProgressHandler.Progress("Package_Tool", 1, "Time series at known sites loaded");
int nsource_sites = fs_source.DataTable.Rows.Count;
int ntar_sites = fs_target.DataTable.Rows.Count;
int nstep = ts_data.Size[0];
int nsite_data = ts_data.Size[1];
int progress = 0;
int count = 1;
double sumOfDis = 0;
double sumOfVa = 0;
if (nsite_data != nsource_sites)
{
cancelProgressHandler.Progress("Package_Tool", 100, "the number of sites in the data file dose not match to that in the source feature file");
return(false);
}
else
{
if (Neighbors > nsource_sites)
{
Neighbors = nsource_sites;
}
var known_sites = new Site[nsource_sites];
DataCube <float> mat = new DataCube <float>(1, nstep, ntar_sites);
mat.DateTimes = new DateTime[nstep];
mat.Name = OutputDataCube;
mat.TimeBrowsable = true;
mat.AllowTableEdit = false;
for (int i = 0; i < nsource_sites; i++)
{
var cor = fs_source.Features[i].Geometry.Coordinate;
known_sites[i] = new Site()
{
LocalX = cor.X,
LocalY = cor.Y,
ID = i
};
}
for (int i = 0; i < ntar_sites; i++)
{
var cor = fs_target.Features[i].Geometry.Coordinate;
var site_intep = new Site()
{
LocalX = cor.X,
LocalY = cor.Y,
ID = i
};
var neighborSites = FindNeareastSites(Neighbors, known_sites, site_intep);
for (int j = 0; j < nstep; j++)
{
sumOfDis = 0;
sumOfVa = 0;
foreach (var nsite in neighborSites)
{
var vv = ts_data.GetValue(j, nsite.ID);
if (vv < MaximumValue)
{
double temp = 1 / System.Math.Pow(nsite.Distance, Power);
sumOfVa += vv * temp;
sumOfDis += temp;
}
}
if (sumOfDis != 0)
{
mat[0, j, i] = (float)(sumOfVa / sumOfDis);
if (!AllowNegative && mat[0, j, i] < 0)
{
mat[0, j, i] = MinmumValue;
}
}
else
{
mat[0, j, i] = MinmumValue;
}
}
progress = (i + 1) * 100 / ntar_sites;
if (progress > count)
{
cancelProgressHandler.Progress("Package_Tool", progress, "Caculating Cell: " + (i + 1));
count++;
}
}
for (int j = 0; j < nstep; j++)
{
mat.DateTimes[j] = Start.AddSeconds(j * TimeStep);
}
cancelProgressHandler.Progress("Package_Tool", 100, "");
Workspace.Add(mat);
fs_source.Close();
fs_target.Close();
return(true);
}
}
