//---------------------------------------------------------
double CExercise_14::Vectorise(int x, int y, CSG_Shape *pSegment)
{
int Dir, ix, iy;
double Length;
Length = 0.0;
pSegment->Add_Point(Get_XMin() + x * Get_Cellsize(), Get_YMin() + y * Get_Cellsize());
if( (Dir = m_pDir->asInt(x, y)) >= 0 )
{
Length = Get_Length(Dir);
ix = Get_xTo(Dir, x);
iy = Get_yTo(Dir, y);
switch( m_pChnl->asInt(ix, iy) )
{
case CHANNEL:
Length += Vectorise(ix, iy, pSegment); // recursive function call...
break;
case MOUTH:
Length += Get_Length(Dir);
pSegment->Add_Point(Get_XMin() + ix * Get_Cellsize(), Get_YMin() + iy * Get_Cellsize());
break;
}
}
return( Length );
}
//---------------------------------------------------------
bool CFilter_Resample::On_Execute(void)
{
double Cellsize;
CSG_Grid *pGrid, *pLoPass, *pHiPass;
//-----------------------------------------------------
pGrid = Parameters("GRID" )->asGrid();
pLoPass = Parameters("LOPASS")->asGrid();
pHiPass = Parameters("HIPASS")->asGrid();
Cellsize = Parameters("SCALE" )->asDouble() * Get_Cellsize();
//-----------------------------------------------------
if( Cellsize > 0.5 * SG_Get_Length(Get_System()->Get_XRange(), Get_System()->Get_YRange()) )
{
Error_Set(_TL("resampling cell size is too large"));
return( false );
}
//-----------------------------------------------------
CSG_Grid Grid(CSG_Grid_System(Cellsize, Get_XMin(), Get_YMin(), Get_XMax(), Get_YMax()), SG_DATATYPE_Float);
Grid.Assign(pGrid, GRID_RESAMPLING_Mean_Cells);
//-----------------------------------------------------
pLoPass->Set_Name(CSG_String::Format(SG_T("%s [%s]"), pGrid->Get_Name(), _TL("Low Pass")));
pHiPass->Set_Name(CSG_String::Format(SG_T("%s [%s]"), pGrid->Get_Name(), _TL("High Pass")));
CSG_Colors Colors;
DataObject_Get_Colors(pGrid , Colors);
DataObject_Set_Colors(pLoPass, Colors);
DataObject_Set_Colors(pHiPass, 11, SG_COLORS_RED_GREY_BLUE);
//-----------------------------------------------------
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
double py = Get_YMin() + y * Get_Cellsize();
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
double z, px = Get_XMin() + x * Get_Cellsize();
if( !pGrid->is_NoData(x, y) && Grid.Get_Value(px, py, z) )
{
pLoPass->Set_Value(x, y, z);
pHiPass->Set_Value(x, y, pGrid->asDouble(x, y) - z);
}
else
{
pLoPass->Set_NoData(x, y);
pHiPass->Set_NoData(x, y);
}
}
}
//-----------------------------------------------------
return( true );
}
//---------------------------------------------------------
TSG_Intersection CSG_Rect::Intersects(const CSG_Rect &Rect) const
{
if( m_rect.xMax < Rect.Get_XMin() || Rect.Get_XMax() < m_rect.xMin
|| m_rect.yMax < Rect.Get_YMin() || Rect.Get_YMax() < m_rect.yMin )
{
return( INTERSECTION_None );
}
if( is_Equal(Rect) )
{
return( INTERSECTION_Identical );
}
if( Contains(Rect.Get_XMin(), Rect.Get_YMin())
&& Contains(Rect.Get_XMax(), Rect.Get_YMax()) )
{
return( INTERSECTION_Contains );
}
if( Rect.Contains(Get_XMin(), Get_YMin())
&& Rect.Contains(Get_XMax(), Get_YMax()) )
{
return( INTERSECTION_Contained );
}
return( INTERSECTION_Overlaps );
}
//---------------------------------------------------------
bool CSG_Grid::_Assign_Interpolated(CSG_Grid *pGrid, TSG_Grid_Interpolation Interpolation)
{
int x, y;
double xPosition, yPosition, z;
Set_NoData_Value_Range(pGrid->Get_NoData_Value(), pGrid->Get_NoData_hiValue());
for(y=0, yPosition=Get_YMin(); y<Get_NY() && SG_UI_Process_Set_Progress(y, Get_NY()); y++, yPosition+=Get_Cellsize())
{
for(x=0, xPosition=Get_XMin(); x<Get_NX(); x++, xPosition+=Get_Cellsize())
{
if( pGrid->Get_Value(xPosition, yPosition, z, Interpolation) )
{
Set_Value (x, y, z);
}
else
{
Set_NoData(x, y);
}
}
}
Get_History() = pGrid->Get_History();
Get_History().Add_Child(SG_T("GRID_OPERATION"), CSG_String::Format(SG_T("%f -> %f"), pGrid->Get_Cellsize(), Get_Cellsize()))->Add_Property(SG_T("NAME"), LNG("Resampling"));
SG_UI_Process_Set_Ready();
return( true );
}
bool CSG_Grid::Assign(CSG_Grid *pGrid, TSG_Grid_Interpolation Interpolation)
{
bool bResult = false;
//-----------------------------------------------------
if( is_Valid() && pGrid && pGrid->is_Valid() && is_Intersecting(pGrid->Get_Extent()) != INTERSECTION_None )
{
if( Get_Cellsize() == pGrid->Get_Cellsize() // No-Scaling...
&& fmod(Get_XMin() - pGrid->Get_XMin(), Get_Cellsize()) == 0.0
&& fmod(Get_YMin() - pGrid->Get_YMin(), Get_Cellsize()) == 0.0 )
{
bResult = _Assign_Interpolated (pGrid, GRID_INTERPOLATION_NearestNeighbour);
}
else switch( Interpolation )
{
case GRID_INTERPOLATION_NearestNeighbour:
case GRID_INTERPOLATION_Bilinear:
case GRID_INTERPOLATION_InverseDistance:
case GRID_INTERPOLATION_BicubicSpline:
case GRID_INTERPOLATION_BSpline:
bResult = _Assign_Interpolated (pGrid, Interpolation);
break;
case GRID_INTERPOLATION_Mean_Nodes:
case GRID_INTERPOLATION_Mean_Cells:
bResult = _Assign_MeanValue (pGrid, Interpolation != GRID_INTERPOLATION_Mean_Nodes);
break;
case GRID_INTERPOLATION_Minimum:
case GRID_INTERPOLATION_Maximum:
bResult = _Assign_ExtremeValue (pGrid, Interpolation == GRID_INTERPOLATION_Maximum);
break;
default:
if( Get_Cellsize() < pGrid->Get_Cellsize() ) // Down-Scaling...
{
bResult = _Assign_Interpolated (pGrid, GRID_INTERPOLATION_BSpline);
}
else // Up-Scaling...
{
bResult = _Assign_MeanValue (pGrid, Interpolation != GRID_INTERPOLATION_Mean_Nodes);
}
break;
}
//-------------------------------------------------
if( bResult )
{
// Set_Name (pGrid->Get_Name());
Set_Description (pGrid->Get_Description());
Set_Unit (pGrid->Get_Unit());
Set_ZFactor (pGrid->Get_ZFactor());
Set_NoData_Value_Range (pGrid->Get_NoData_Value(), pGrid->Get_NoData_hiValue());
}
}
//-----------------------------------------------------
return( bResult );
}
//---------------------------------------------------------
bool CSG_Grid::_Assign_ExtremeValue(CSG_Grid *pGrid, bool bMaximum)
{
if( Get_Cellsize() < pGrid->Get_Cellsize() || is_Intersecting(pGrid->Get_Extent()) == INTERSECTION_None )
{
return( false );
}
//-----------------------------------------------------
int x, y, ix, iy;
double px, py, ax, ay, d, z;
CSG_Matrix S(Get_NY(), Get_NX()), N(Get_NY(), Get_NX());
d = pGrid->Get_Cellsize() / Get_Cellsize();
Set_NoData_Value(pGrid->Get_NoData_Value());
Assign_NoData();
//-----------------------------------------------------
ax = 0.5 + (pGrid->Get_XMin() - Get_XMin()) / Get_Cellsize();
ay = 0.5 + (pGrid->Get_YMin() - Get_YMin()) / Get_Cellsize();
for(y=0, py=ay; y<pGrid->Get_NY() && SG_UI_Process_Set_Progress(y, pGrid->Get_NY()); y++, py+=d)
{
if( (iy = (int)floor(py)) >= 0 && iy < Get_NY() )
{
for(x=0, px=ax; x<pGrid->Get_NX(); x++, px+=d)
{
if( !pGrid->is_NoData(x, y) && (ix = (int)floor(px)) >= 0 && ix < Get_NX() )
{
z = pGrid->asDouble(x, y);
if( is_NoData(ix, iy)
|| (bMaximum == true && z > asDouble(ix, iy))
|| (bMaximum == false && z < asDouble(ix, iy)) )
{
Set_Value(ix, iy, z);
}
}
}
}
}
//-----------------------------------------------------
Get_History() = pGrid->Get_History();
Get_History().Add_Child(SG_T("GRID_OPERATION"), CSG_String::Format(SG_T("%f -> %f"), pGrid->Get_Cellsize(), Get_Cellsize()))->Add_Property(SG_T("NAME"), LNG("Resampling"));
SG_UI_Process_Set_Ready();
return( true );
}
//---------------------------------------------------------
bool CXYZ_Export::On_Execute(void)
{
bool bExNoData;
int x, y, i;
TSG_Point p;
CSG_File Stream;
CSG_String FileName;
CSG_Parameter_Grid_List *pGrids;
pGrids = Parameters("GRIDS") ->asGridList();
FileName = Parameters("FILENAME")->asString();
bExNoData = Parameters("EX_NODATA")->asBool();
if( pGrids->Get_Count() > 0 && Stream.Open(FileName, SG_FILE_W, false) )
{
if( Parameters("CAPTION")->asBool() )
{
Stream.Printf(SG_T("\"X\"\t\"Y\""));
for(i=0; i<pGrids->Get_Count(); i++)
{
Stream.Printf(SG_T("\t\"%s\""), pGrids->asGrid(i)->Get_Name());
}
Stream.Printf(SG_T("\n"));
}
for(y=0, p.y=Get_YMin(); y<Get_NY() && Set_Progress(y); y++, p.y+=Get_Cellsize())
{
for(x=0, p.x=Get_XMin(); x<Get_NX(); x++, p.x+=Get_Cellsize())
{
if( !bExNoData || (bExNoData && !pGrids->asGrid(0)->is_NoData(x, y)) )
{
Stream.Printf(SG_T("%f\t%f"), p.x, p.y);
for(i=0; i<pGrids->Get_Count(); i++)
{
Stream.Printf(SG_T("\t%f"), pGrids->asGrid(i)->asDouble(x, y));
}
Stream.Printf(SG_T("\n"));
}
}
}
return( true );
}
return( false );
}
//---------------------------------------------------------
CvMat* COpenCV_NNet::GetEvalMatrix(CSG_Parameter_Grid_List *gl_grids, int type)
{
bool b_NoData;
int x,y,i_Grid;
CSG_Table *t_data;
CSG_Table_Record *tr_rec;
TSG_Point p;
CvMat *mat;
// We will use this table as a temporary data store,
// since we cannot dynamically resize the CvMat
t_data = new CSG_Table();
// We need a column for each grid and the output lable
for (int i = 0; i < gl_grids->Get_Count(); i++)
{
t_data->Add_Field(CSG_String::Format(SG_T("GRID_%d"), i), SG_DATATYPE_Float, i);
}
// Traverse all grids, every point
for(y=0, p.y=Get_YMin(); y<Get_NY() && Set_Progress(y); y++, p.y+=Get_Cellsize())
{
for(x=0, p.x=Get_XMin(); x<Get_NX(); x++, p.x+=Get_Cellsize())
{
for(i_Grid=0, b_NoData=false; i_Grid<gl_grids->Get_Count() && !b_NoData; i_Grid++)
{
// If there is one grid that has no data in this point p, then set the no data flag
if( gl_grids->asGrid(i_Grid)->is_NoData(x, y) )
{
b_NoData = true;
}
}
if (!b_NoData)
{
// We have data in all grids, so lets add them to the eval data table
tr_rec = t_data->Add_Record();
for(i_Grid=0; i_Grid<gl_grids->Get_Count(); i_Grid++)
{
tr_rec->Set_Value(i_Grid, (float) gl_grids->asGrid(i_Grid)->asFloat(x, y));
}
}
}
}
// Now create the matrix and add all data from the table to the matrix
mat = GetEvalMatrix(t_data, type);
return mat;
}
//---------------------------------------------------------
bool CGrid_Mask::On_Execute(void)
{
CSG_Grid *pGrid = Parameters("GRID")->asGrid();
CSG_Grid *pMask = Parameters("MASK")->asGrid();
if( !pGrid->is_Intersecting(pMask->Get_Extent()) )
{
Message_Add(_TL("no intersection with mask grid."));
return( false );
}
//-----------------------------------------------------
CSG_Grid *pMasked = Parameters("MASKED")->asGrid();
if( pMasked && pMasked != pGrid )
{
pMasked->Create(*pGrid);
pMasked->Fmt_Name("%s [%s]", pGrid->Get_Name(), _TL("masked"));
pGrid = pMasked;
}
//-----------------------------------------------------
Process_Set_Text(_TL("masking..."));
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
double py = Get_YMin() + y * Get_Cellsize();
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
if( !pGrid->is_NoData(x, y) )
{
double px = Get_XMin() + x * Get_Cellsize();
if( !pMask->is_InGrid_byPos(px, py) )
{
pGrid->Set_NoData(x, y);
}
}
}
}
//-----------------------------------------------------
return( true );
}
//---------------------------------------------------------
bool CGrid_Completion::On_Execute(void)
{
int x, y;
double xPos, yPos, Value;
TSG_Grid_Interpolation Interpolation;
CSG_Grid *pGrid, *pAdditional;
pAdditional = Parameters("ADDITIONAL") ->asGrid();
pGrid = Parameters("COMPLETED") ->asGrid();
if( pGrid->is_Intersecting(pAdditional->Get_Extent()) )
{
if( pGrid != Parameters("ORIGINAL")->asGrid() )
{
Process_Set_Text(_TL("Copying original data..."));
pGrid->Assign(Parameters("ORIGINAL")->asGrid());
}
Interpolation = (TSG_Grid_Interpolation)Parameters("INTERPOLATION")->asInt();
Process_Set_Text(_TL("Data completion..."));
for(y=0, yPos=Get_YMin(); y<Get_NY() && Set_Progress(y, Get_NY()); y++, yPos+=Get_Cellsize())
{
if( yPos >= pAdditional->Get_YMin() )
{
for(x=0, xPos=Get_XMin(); x<Get_NX() && xPos<=pAdditional->Get_XMax(); x++, xPos+=Get_Cellsize())
{
if( pGrid->is_NoData(x, y) && xPos >= pAdditional->Get_XMin() )
{
if( !pAdditional->is_NoData_Value(Value = pAdditional->Get_Value(xPos, yPos, Interpolation)) )
{
pGrid->Set_Value(x, y, Value);
}
}
}
}
}
return( true );
}
Error_Set(_TL("Nothing to do: there is no intersection with additonal grid."));
return( false );
}
//---------------------------------------------------------
bool CGWR_Grid_Downscaling::Set_Model(void)
{
CSG_Grid *pRegression = Parameters("REGRESSION" )->asGrid();
CSG_Grid *pReg_ResCorr = Parameters("REG_RESCORR")->asGrid();
pRegression->Set_Name(CSG_String::Format(SG_T("%s [%s]"), m_pDependent->Get_Name(), _TL("GWR")));
if( pReg_ResCorr )
{
pReg_ResCorr->Set_Name(CSG_String::Format(SG_T("%s [%s, %s]"), m_pDependent->Get_Name(), _TL("GWR"), _TL("Residual Correction")));
}
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
double p_y = Get_YMin() + y * Get_Cellsize();
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
double Value, Residual, p_x = Get_XMin() + x * Get_Cellsize();
if( Set_Model(p_x, p_y, Value, Residual) )
{
pRegression->Set_Value(x, y, Value);
if( pReg_ResCorr )
{
pReg_ResCorr->Set_Value(x, y, Value + Residual);
}
}
else
{
pRegression->Set_NoData(x, y);
if( pReg_ResCorr )
{
pReg_ResCorr->Set_NoData(x, y);
}
}
}
}
return( true );
}
//---------------------------------------------------------
bool CGrid_Mask::On_Execute(void)
{
int x, y;
double z;
TSG_Point p;
CSG_Grid *pGrid, *pMask, *pMasked;
pGrid = Parameters("GRID") ->asGrid();
pMask = Parameters("MASK") ->asGrid();
pMasked = Parameters("MASKED") ->asGrid();
if( !pGrid->is_Intersecting(pMask->Get_Extent()) )
{
Message_Add(_TL("no intersection with mask grid."));
return( false );
}
if( pMasked == NULL )
{
pMasked = pGrid;
Parameters("MASKED")->Set_Value(pMasked);
}
else if( pMasked != pGrid )
{
pMasked->Assign(pGrid);
}
Process_Set_Text(_TL("masking..."));
for(y=0, p.y=Get_YMin(); y<Get_NY() && Set_Progress(y); y++, p.y+=Get_Cellsize())
{
for(x=0, p.x=Get_XMin(); x<Get_NX(); x++, p.x+=Get_Cellsize())
{
if( !pMasked->is_NoData(x, y) && !pMask->Get_Value(p, z, GRID_INTERPOLATION_NearestNeighbour) )
{
pMasked->Set_NoData(x, y);
}
}
}
return( true );
}
//---------------------------------------------------------
void CGrid_3D_Image::_Set_Shapes(CSG_Shapes *pInput)
{
int iShape, iPart, iPoint;
double x, y, z, dx, dy;
T3DPoint p;
TSG_Point Point;
CSG_Shape *pShape;
CSG_Shapes *pOutput;
if( pInput && pInput->is_Valid() )
{
Process_Set_Text("%s \"%s\"", _TL("Project"), pInput->Get_Name());
pOutput = SG_Create_Shapes(*pInput);
dx = (double)Get_NX() / Get_System().Get_XRange();
dy = (double)Get_NY() / Get_System().Get_YRange();
for(iShape=0; iShape<pOutput->Get_Count() && Set_Progress(iShape, pOutput->Get_Count()); iShape++)
{
pShape = pOutput->Get_Shape(iShape);
for(iPart=0; iPart<pShape->Get_Part_Count(); iPart++)
{
for(iPoint=0; iPoint<pShape->Get_Point_Count(iPart); iPoint++)
{
Point = pShape->Get_Point(iPoint, iPart);
x = dx * (Point.x - Get_XMin());
y = dy * (Point.y - Get_YMin());
z = m_pDEM->is_InGrid((int)x, (int)y, true) ? m_pDEM->asDouble((int)x, (int)y) : 0.0;
_Get_Position(x, y, z, p);
pShape->Set_Point(p.x, p.y, iPoint, iPart);
}
}
}
DataObject_Add(pOutput);
}
}
//---------------------------------------------------------
bool CGW_Multi_Regression_Grid::Set_Model(void)
{
CSG_Grid *pRegression = Parameters("REGRESSION")->asGrid();
CSG_Grid *pQuality = Parameters("QUALITY" )->asGrid();
pRegression->Set_Name(CSG_String::Format(SG_T("%s [%s]" ), m_Points.Get_Name(), _TL("GWR")));
pQuality ->Set_Name(CSG_String::Format(SG_T("%s [%s, %s]"), m_Points.Get_Name(), _TL("GWR"), _TL("Quality")));
if( m_pQuality == Parameters("QUALITY")->asGrid() )
{
pQuality = NULL;
}
//-----------------------------------------------------
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
double p_y = Get_YMin() + y * Get_Cellsize();
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
double Value, p_x = Get_XMin() + x * Get_Cellsize();
if( Set_Model(p_x, p_y, Value) )
{
GRID_SET_VALUE(pRegression, x, y, Value);
GRID_SET_VALUE(pQuality , x, y, m_pQuality->Get_Value(p_x, p_y));
}
else
{
GRID_SET_NODATA(pRegression, x, y);
GRID_SET_NODATA(pQuality , x, y);
}
}
}
//-----------------------------------------------------
Set_Residuals();
return( true );
}
//---------------------------------------------------------
bool CGrid_Classify_Supervised::Set_Classifier(CSG_Classifier_Supervised &Classifier, CSG_Shapes *pPolygons, int Field)
{
Process_Set_Text(_TL("training"));
//-----------------------------------------------------
TSG_Point p; p.y = Get_YMin();
for(int y=0; y<Get_NY() && Set_Progress(y); y++, p.y+=Get_Cellsize())
{
p.x = Get_XMin();
for(int x=0; x<Get_NX(); x++, p.x+=Get_Cellsize())
{
CSG_Vector Features(m_pFeatures->Get_Count());
if( Get_Features(x, y, Features) )
{
for(int iPolygon=0; iPolygon<pPolygons->Get_Count(); iPolygon++)
{
CSG_Shape_Polygon *pPolygon = (CSG_Shape_Polygon *)pPolygons->Get_Shape(iPolygon);
if( pPolygon->Contains(p) )
{
Classifier.Train_Add_Sample(pPolygon->asString(Field), Features);
}
}
}
}
}
//-----------------------------------------------------
if( Classifier.Train(true) )
{
Classifier.Save(Parameters("FILE_SAVE")->asString());
return( true );
}
return( false );
}
//---------------------------------------------------------
bool CMRVBF::Get_Flatness(CSG_Grid *pSlopes, CSG_Grid *pPercentiles, CSG_Grid *pCF, CSG_Grid *pVF, CSG_Grid *pRF, double T_Slope)
{
// const int Interpolation = GRID_INTERPOLATION_Bilinear;
const int Interpolation = GRID_INTERPOLATION_BSpline;
if( pSlopes && pSlopes->is_Valid() && pPercentiles && pPercentiles->is_Valid() )
{
int x, y;
double xp, yp, Slope, Percentile, cf, vf, rf;
for(y=0, yp=Get_YMin(); y<Get_NY() && Set_Progress(y); y++, yp+=Get_Cellsize())
{
for(x=0, xp=Get_XMin(); x<Get_NX(); x++, xp+=Get_Cellsize())
{
if( pSlopes ->Get_Value(xp, yp, Slope , Interpolation)
&& pPercentiles->Get_Value(xp, yp, Percentile, Interpolation) )
{
cf = pCF->asDouble(x, y) * Get_Transformation(Slope, T_Slope, m_P_Slope);
vf = cf * Get_Transformation( Percentile, m_T_Pctl_V, m_P_Pctl);
rf = cf * Get_Transformation(1.0 - Percentile, m_T_Pctl_R, m_P_Pctl);
pCF->Set_Value (x, y, cf);
pVF->Set_Value (x, y, 1.0 - Get_Transformation(vf, 0.3, 4.0));
pRF->Set_Value (x, y, 1.0 - Get_Transformation(rf, 0.3, 4.0));
}
else
{
pVF->Set_NoData (x, y);
pRF->Set_NoData (x, y);
}
}
}
return( true );
}
return( false );
}
//---------------------------------------------------------
bool CWRF_Export::Save(const CSG_String &Directory, CSG_Parameter_Grid_List *pGrids)
{
//-----------------------------------------------------
// 00001-00600.00001-00600
// 01234567890123456789012
int xOffset = m_Index.m_TILE_BDR + (int)(0.5 + (Get_XMin() - m_Index.m_KNOWN_LON) / Get_Cellsize());
int yOffset = m_Index.m_TILE_BDR + (int)(0.5 + (Get_YMin() - m_Index.m_KNOWN_LAT) / Get_Cellsize());
CSG_String Name = SG_File_Get_Name(Directory, true);
Name.Printf(SG_T("%05d-%05d.%05d-%05d"), xOffset + 1, xOffset + m_Index.m_TILE_X, yOffset + 1, yOffset + m_Index.m_TILE_Y);
//-----------------------------------------------------
CSG_File Stream;
if( !Stream.Open(SG_File_Make_Path(Directory, Name), SG_FILE_W) )
{
Error_Set(_TL("data file could not be openend"));
return( false );
}
//-----------------------------------------------------
char *pLine, *pValue;
int x, y, nBytes_Line;
nBytes_Line = Get_NX() * m_Index.m_WORDSIZE;
pLine = (char *)SG_Malloc(nBytes_Line);
//-----------------------------------------------------
for(int z=0; z<pGrids->Get_Count() && Process_Get_Okay(); z++)
{
CSG_Grid *pGrid = pGrids->asGrid(z);
//-------------------------------------------------
for(y=0; y<pGrid->Get_NY() && !Stream.is_EOF() && Set_Progress(y, pGrid->Get_NY()); y++)
{
int yy = m_Index.m_ROW_ORDER == VAL_TOP_BOTTOM ? pGrid->Get_NY() - 1 - y : y;
for(x=0, pValue=pLine; x<pGrid->Get_NX(); x++, pValue+=m_Index.m_WORDSIZE)
{
if( m_Index.m_SIGNED )
{
switch( m_Index.m_WORDSIZE )
{
case 1: *((signed char *)pValue) = (signed char )pGrid->asInt(x, yy); break;
case 2: *((signed short *)pValue) = (signed short )pGrid->asInt(x, yy); break;
case 4: *((signed int *)pValue) = (signed int )pGrid->asInt(x, yy); break;
}
}
else
{
switch( m_Index.m_WORDSIZE )
{
case 1: *((unsigned char *)pValue) = (unsigned char )pGrid->asInt(x, yy); break;
case 2: *((unsigned short *)pValue) = (unsigned short)pGrid->asInt(x, yy); break;
case 4: *((unsigned int *)pValue) = (unsigned int )pGrid->asInt(x, yy); break;
}
}
if( m_Index.m_ENDIAN == VAL_ENDIAN_BIG )
{
SG_Swap_Bytes(pValue, m_Index.m_WORDSIZE);
}
}
Stream.Write(pLine, sizeof(char), nBytes_Line);
}
}
//-----------------------------------------------------
SG_Free(pLine);
return( true );
}
//---------------------------------------------------------
bool COpenCV_NNet::On_Execute(void)
{
//-------------------------------------------------
bool b_updateWeights, b_noInputScale, b_noOutputScale, b_NoData;
int i_matType, i_layers, i_maxIter, i_neurons, i_areasClassId, i_trainFeatTotalCount, *i_outputFeatureIdxs, i_outputFeatureCount, i_Grid, x, y, i_evalOut, i_winner;
double d_alpha, d_beta, d_eps;
DATA_TYPE e_dataType;
TRAINING_METHOD e_trainMet;
ACTIVATION_FUNCTION e_actFunc;
CSG_Table *t_Weights, *t_Indices, *t_TrainInput, *t_EvalInput, *t_EvalOutput;
CSG_Parameter_Grid_List *gl_TrainInputs;
CSG_Grid *g_EvalOutput, *g_EvalOutputCert;
CSG_Shapes *s_TrainInputAreas;
CSG_Parameters *p_TrainFeatures;
TSG_Point p;
CvMat *mat_Weights, *mat_Indices, **mat_data, *mat_neuralLayers, mat_layerSizesSub, *mat_EvalInput, *mat_EvalOutput; // todo: mat_indices to respect input indices, mat_weights for initialization
CvANN_MLP_TrainParams tp_trainParams;
CvANN_MLP model;
b_updateWeights = Parameters("UPDATE_WEIGHTS" )->asBool();
b_noInputScale = Parameters("NO_INPUT_SCALE" )->asBool();
b_noOutputScale = Parameters("NO_OUTPUT_SCALE" )->asBool();
i_layers = Parameters("NNET_LAYER" )->asInt();
i_neurons = Parameters("NNET_NEURONS" )->asInt();
i_maxIter = Parameters("MAX_ITER" )->asInt();
i_areasClassId = Parameters("TRAIN_INPUT_AREAS_CLASS_FIELD" )->asInt();
e_dataType = (DATA_TYPE)Parameters("DATA_TYPE" )->asInt();
e_trainMet = (TRAINING_METHOD)Parameters("TRAINING_METHOD" )->asInt();
e_actFunc = (ACTIVATION_FUNCTION)Parameters("ACTIVATION_FUNCTION" )->asInt();
d_alpha = Parameters("ALPHA" )->asDouble();
d_beta = Parameters("BETA" )->asDouble();
d_eps = Parameters("EPSILON" )->asDouble();
t_Weights = Parameters("WEIGHTS" )->asTable();
t_Indices = Parameters("INDICES" )->asTable();
t_TrainInput = Parameters("TRAIN_INPUT_TABLE" )->asTable();
t_EvalInput = Parameters("EVAL_INPUT_TABLE" )->asTable();
t_EvalOutput = Parameters("EVAL_OUTPUT_TABLE" )->asTable();
p_TrainFeatures = Parameters("TRAIN_FEATURES_TABLE" )->asParameters();
gl_TrainInputs = Parameters("TRAIN_INPUT_GRIDS" )->asGridList();
g_EvalOutput = Parameters("EVAL_OUTPUT_GRID_CLASSES" )->asGrid();
g_EvalOutputCert = Parameters("EVAL_OUTPUT_GRID_CERTAINTY" )->asGrid();
s_TrainInputAreas = Parameters("TRAIN_INPUT_AREAS" )->asShapes();
// Fixed matrix type (TODO: Analyze what to do for other types of data (i.e. images))
i_matType = CV_32FC1;
//-------------------------------------------------
if (e_dataType == TABLE)
{
// We are working with TABLE data
if( t_TrainInput->Get_Count() == 0 || p_TrainFeatures->Get_Count() == 0 )
{
Error_Set(_TL("Select an input table and at least one output feature!"));
return( false );
}
// Count the total number of available features
i_trainFeatTotalCount = t_TrainInput->Get_Field_Count();
// Count the number of selected output features
i_outputFeatureIdxs = (int *)SG_Calloc(i_trainFeatTotalCount, sizeof(int));
i_outputFeatureCount = 0;
for(int i=0; i<p_TrainFeatures->Get_Count(); i++)
{
if( p_TrainFeatures->Get_Parameter(i)->asBool() )
{
i_outputFeatureIdxs[i_outputFeatureCount++] = CSG_String(p_TrainFeatures->Get_Parameter(i)->Get_Identifier()).asInt();
}
}
// Update the number of training features
i_trainFeatTotalCount = i_trainFeatTotalCount-i_outputFeatureCount;
if( i_outputFeatureCount <= 0 )
{
Error_Set(_TL("Select at least one output feature!"));
return( false );
}
// Now convert the input and output training data into a OpenCV matrix objects
mat_data = GetTrainAndOutputMatrix(t_TrainInput, i_matType, i_outputFeatureIdxs, i_outputFeatureCount);
}
else
{
// TODO: Add some grid validation logic
i_trainFeatTotalCount = gl_TrainInputs->Get_Count();
i_outputFeatureCount = s_TrainInputAreas->Get_Count();
// Convert the data from the grid into the matrix from
mat_data = GetTrainAndOutputMatrix(gl_TrainInputs, i_matType, s_TrainInputAreas, i_areasClassId, g_EvalOutput, g_EvalOutputCert);
}
//-------------------------------------------------
// Add two additional layer to the network topology (0-th layer for input and the last as the output)
i_layers = i_layers + 2;
mat_neuralLayers = cvCreateMat(i_layers, 1, CV_32SC1);
cvGetRows(mat_neuralLayers, &mat_layerSizesSub, 0, i_layers);
//Setting the number of neurons on each layer
for (int i = 0; i < i_layers; i++)
{
if (i == 0)
{
// The first layer needs the same size (number of nerons) as the number of columns in the training data
cvSet1D(&mat_layerSizesSub, i, cvScalar(i_trainFeatTotalCount));
}
else if (i == i_layers-1)
{
// The last layer needs the same size (number of neurons) as the number of output columns
cvSet1D(&mat_layerSizesSub, i, cvScalar(i_outputFeatureCount));
}
else
{
// On every other layer set the layer size selected by the user
cvSet1D(&mat_layerSizesSub, i, cvScalar(i_neurons));
}
}
//-------------------------------------------------
// Create the training params object
tp_trainParams = CvANN_MLP_TrainParams();
tp_trainParams.term_crit = cvTermCriteria(CV_TERMCRIT_ITER + CV_TERMCRIT_EPS, i_maxIter, d_eps);
// Check which training method was selected and set corresponding params
if(e_trainMet == RPROP)
{
// Set all RPROP specific params
tp_trainParams.train_method = CvANN_MLP_TrainParams::RPROP;
tp_trainParams.rp_dw0 = Parameters("RP_DW0" )->asDouble();
tp_trainParams.rp_dw_plus = Parameters("RP_DW_PLUS" )->asDouble();
tp_trainParams.rp_dw_minus = Parameters("RP_DW_MINUS" )->asDouble();
tp_trainParams.rp_dw_min = Parameters("RP_DW_MIN" )->asDouble();
tp_trainParams.rp_dw_max = Parameters("RP_DW_MAX" )->asDouble();
}
else
{
// Set all BPROP specific params
tp_trainParams.train_method = CvANN_MLP_TrainParams::BACKPROP;
tp_trainParams.bp_dw_scale = Parameters("BP_DW_SCALE" )->asDouble();
tp_trainParams.bp_moment_scale = Parameters("BP_MOMENT_SCALE" )->asInt();
}
//-------------------------------------------------
// Create the model (depending on the activation function)
if(e_actFunc == SIGMOID)
{
model.create(mat_neuralLayers);
}
else
{
model.create(mat_neuralLayers, CvANN_MLP::GAUSSIAN, d_alpha, d_beta);
}
//-------------------------------------------------
// Now train the network
// TODO: Integrate init weights and indicies for record selection
// mat_Weights = GetMatrix(t_Weights, i_matType);
// mat_Indices = GetMatrix(t_Indices, i_matType);
//model.train(mat_TrainInput, mat_TrainOutput, NULL, NULL, tp_trainParams);
model.train(mat_data[0], mat_data[1], NULL, NULL, tp_trainParams);
//-------------------------------------------------
// Predict data
if (e_dataType == TABLE)
{
// Get the eavaluation/test matrix from the eval table
mat_EvalInput = GetEvalMatrix(t_EvalInput, i_matType);
}
else
{
// Train and eval data overlap in grid mode
mat_EvalInput = GetEvalMatrix(gl_TrainInputs, i_matType);
}
// Prepare output matrix
mat_EvalOutput = cvCreateMat(mat_EvalInput->rows, i_outputFeatureCount, i_matType);
// Start prediction
model.predict(mat_EvalInput, mat_EvalOutput);
Message_Add(_TL("Successfully trained the network and predicted the values. Here comes the output."));
//-------------------------------------------------
// Save and print results
if (e_dataType == TABLE)
{
// DEBUG -> Save results to output table and print results
for (int i = 0; i < i_outputFeatureCount; i++)
{
t_EvalOutput->Add_Field(CSG_String(t_TrainInput->Get_Field_Name(i_outputFeatureIdxs[i])), SG_DATATYPE_Float);
}
for (int i = 0; i < mat_EvalOutput->rows; i++)
{
CSG_Table_Record* tr_record = t_EvalOutput->Add_Record();
for (int j = 0; j < i_outputFeatureCount; j++)
{
float f_targetValue = mat_EvalOutput->data.fl[i*i_outputFeatureCount+j];
tr_record->Set_Value(j, f_targetValue);
}
}
}
else
{
// Fill the output table output
for (int i = 0; i < i_outputFeatureCount; i++)
{
// TODO: Get the class name
t_EvalOutput->Add_Field(CSG_String::Format(SG_T("CLASS_%d"), i), SG_DATATYPE_Float);
}
for (int i = 0; i < mat_EvalOutput->rows; i++)
{
CSG_Table_Record* tr_record = t_EvalOutput->Add_Record();
for (int j = 0; j < i_outputFeatureCount; j++)
{
float f_targetValue = mat_EvalOutput->data.fl[i*i_outputFeatureCount+j];
tr_record->Set_Value(j, f_targetValue);
}
}
i_evalOut = 0;
// Fill the output grid
for(y=0, p.y=Get_YMin(); y<Get_NY() && Set_Progress(y); y++, p.y+=Get_Cellsize())
{
for(x=0, p.x=Get_XMin(); x<Get_NX(); x++, p.x+=Get_Cellsize())
{
for(i_Grid=0, b_NoData=false; i_Grid<gl_TrainInputs->Get_Count() && !b_NoData; i_Grid++)
{
// If there is one grid that has no data in this point p, then set the no data flag
if( gl_TrainInputs->asGrid(i_Grid)->is_NoData(x, y) )
{
b_NoData = true;
}
}
if (!b_NoData)
{
// We have data in all grids, so this is a point that was predicted
// Get the winner class for this point and set it to the output grid
float f_targetValue = 0;
for (int j = 0; j < i_outputFeatureCount; j++)
{
if (mat_EvalOutput->data.fl[i_evalOut*i_outputFeatureCount+j] > f_targetValue)
{
// The current value is higher than the last one, so lets memorize the current class
f_targetValue = mat_EvalOutput->data.fl[i_evalOut*i_outputFeatureCount+j];
i_winner = j;
}
}
// Now finally set the values to the grids
g_EvalOutput->Set_Value(x, y, i_winner);
g_EvalOutputCert->Set_Value(x, y, f_targetValue);
i_evalOut++;
}
}
}
}
return( true );
}
//---------------------------------------------------------
bool CTC_Parameter_Base::Get_Parameter(CSG_Grid *pValues, CSG_Grid *pParameter)
{
DataObject_Set_Colors(pParameter, 10, SG_COLORS_RED_GREY_BLUE, true);
//-----------------------------------------------------
if( Parameters("METHOD")->asInt() == 0 )
{
m_Kernel.Get_Weighting().Set_Parameters(&Parameters);
m_Kernel.Get_Weighting().Set_BandWidth(Parameters("SCALE")->asDouble() * m_Kernel.Get_Weighting().Get_BandWidth());
m_Kernel.Set_Radius(Parameters("SCALE")->asDouble());
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
if( pValues->is_NoData(x, y) )
{
pParameter->Set_NoData(x, y);
}
else
{
double d, w, nTotal = 0.0, nValid = 0.0;
for(int i=0, ix, iy; i<m_Kernel.Get_Count(); i++)
{
if( m_Kernel.Get_Values(i, ix = x, iy = y, d, w, true) && pValues->is_InGrid(ix, iy) )
{
nTotal += w;
if( pValues->asInt(ix, iy) != 0 )
{
nValid += w;
}
}
}
pParameter->Set_Value(x, y, nTotal > 0.0 ? 100.0 * nValid / nTotal : 0.0); // make percentage
}
}
}
m_Kernel.Destroy();
}
//-----------------------------------------------------
else
{
double Cellsize = Parameters("SCALE")->asInt() * Get_Cellsize();
if( Cellsize > 0.5 * SG_Get_Length(Get_System()->Get_XRange(), Get_System()->Get_YRange()) )
{
Error_Set(_TL("resampling cell size is too large"));
return( false );
}
CSG_Grid Values(CSG_Grid_System(Cellsize, Get_XMin(), Get_YMin(), Get_XMax(), Get_YMax()), SG_DATATYPE_Float);
Values.Assign(pValues, GRID_RESAMPLING_Mean_Cells);
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
double py = Get_YMin() + y * Get_Cellsize();
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
double z, px = Get_XMin() + x * Get_Cellsize();
if( pValues->is_NoData(x, y) || !Values.Get_Value(px, py, z, GRID_RESAMPLING_BSpline) )
{
pParameter->Set_NoData(x, y);
}
else
{
pParameter->Set_Value(x, y, 100.0 * z); // make percentage
}
}
}
}
//-----------------------------------------------------
return( true );
}
//---------------------------------------------------------
bool CSG_Grid::_Save_Native(const CSG_String &File_Name, int xA, int yA, int xN, int yN, bool bBinary)
{
bool bResult = false;
CSG_File Stream;
if( Stream.Open(File_Name, SG_FILE_W, false) )
{
//-------------------------------------------------
// Header...
Stream.Printf(SG_T("%s\t= %s\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_NAME ], Get_Name() );
Stream.Printf(SG_T("%s\t= %s\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_DESCRIPTION ], Get_Description() );
Stream.Printf(SG_T("%s\t= %s\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_UNITNAME ], Get_Unit() );
Stream.Printf(SG_T("%s\t= %d\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_DATAFILE_OFFSET], 0 );
Stream.Printf(SG_T("%s\t= %s\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_DATAFORMAT ], bBinary ? gSG_Data_Type_Identifier[Get_Type()] : SG_T("ASCII") );
Stream.Printf(SG_T("%s\t= %s\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_BYTEORDER_BIG ], GRID_FILE_KEY_FALSE );
Stream.Printf(SG_T("%s\t= %.10f\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_POSITION_XMIN ], Get_XMin() + Get_Cellsize() * xA );
Stream.Printf(SG_T("%s\t= %.10f\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_POSITION_YMIN ], Get_YMin() + Get_Cellsize() * yA );
Stream.Printf(SG_T("%s\t= %d\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_CELLCOUNT_X ], xN );
Stream.Printf(SG_T("%s\t= %d\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_CELLCOUNT_Y ], yN );
Stream.Printf(SG_T("%s\t= %.10f\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_CELLSIZE ], Get_Cellsize() );
Stream.Printf(SG_T("%s\t= %f\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_Z_FACTOR ], m_zFactor );
Stream.Printf(SG_T("%s\t= %f\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_NODATA_VALUE ], Get_NoData_Value() );
Stream.Printf(SG_T("%s\t= %s\n") , gSG_Grid_File_Key_Names[ GRID_FILE_KEY_TOPTOBOTTOM ], GRID_FILE_KEY_FALSE );
//-------------------------------------------------
// Data...
if( Stream.Open(SG_File_Make_Path(NULL, File_Name, SG_T("sdat")), SG_FILE_W, true) )
{
if( bBinary )
{
bResult = _Save_Binary (Stream, xA, yA, xN, yN, Get_Type(), false, false);
}
else
{
bResult = _Save_ASCII (Stream, xA, yA, xN, yN);
}
}
}
return( bResult );
}
//---------------------------------------------------------
bool CTIN_From_Grid_Specific_Points::On_Execute(void)
{
bool bResult;
int x, y, i;
CSG_TIN *pTIN;
CSG_Grid *pGrid, Grid;
CSG_Parameter_Grid_List *pValues;
CSG_Shape *pPoint;
CSG_Shapes Points;
//-----------------------------------------------------
pGrid = Parameters("GRID")->asGrid();
Grid.Create(pGrid, SG_DATATYPE_Byte);
//-----------------------------------------------------
switch( Parameters("METHOD")->asInt() )
{
default:
bResult = false;
break;
case 0:
bResult = Get_MarkHighestNB (&Grid, pGrid);
break;
case 1:
bResult = Get_OppositeNB (&Grid, pGrid, Parameters("HIGH")->asInt());
break;
case 2:
bResult = Get_FlowDirection (&Grid, pGrid,
(int)Parameters("FLOW")->asRange()->Get_LoVal(),
(int)Parameters("FLOW")->asRange()->Get_HiVal()
);
break;
case 3:
bResult = Get_FlowDirection2(&Grid, pGrid,
(int)Parameters("FLOW")->asRange()->Get_HiVal()
);
break;
case 4:
bResult = Get_Peucker (&Grid, pGrid, Parameters("PEUCKER")->asDouble());
break;
}
//-----------------------------------------------------
if( bResult )
{
pValues = Parameters("VALUES")->asGridList();
Points.Create(SHAPE_TYPE_Point);
Points.Add_Field(_TL("VALUE"), SG_DATATYPE_Double);
for(i=0; i<pValues->Get_Count(); i++)
{
Points.Add_Field(pValues->asGrid(i)->Get_Name(), SG_DATATYPE_Double);
}
for(y=0; y<Get_NY() && Set_Progress(y, Get_NY()); y++)
{
for(x=0; x<Get_NX(); x++)
{
if( Grid.asInt(x, y) != 0 )
{
pPoint = Points.Add_Shape();
pPoint->Add_Point(
Get_XMin() + Get_Cellsize() * x,
Get_YMin() + Get_Cellsize() * y
);
pPoint->Set_Value(0, pGrid->asDouble(x, y));
for(i=0; i<pValues->Get_Count(); i++)
{
pPoint->Set_Value(1 + i, pValues->asGrid(i)->asDouble(x, y));
}
}
}
}
//-------------------------------------------------
if( Points.Get_Count() >= 3 )
{
pTIN = Parameters("TIN")->asTIN();
pTIN->Create(&Points);
pTIN->Set_Name(pGrid->Get_Name());
}
}
return( bResult );
}
//---------------------------------------------------------
// This function is executed if the user is pressing the OK button
//---------------------------------------------------------
bool CGrid_Polygon_Clip::On_Execute(void)
{
int x, y, ix, iy, ax, ay, nx, ny;
CSG_Parameter_Grid_List *pGrids_in, *pGrids_out;
CSG_Grid *pGrid_in, *pGrid_out, Mask;
CSG_Shapes *pShapes;
//-----------------------------------------------------
pGrids_in = Parameters("INPUT" )->asGridList();
pGrids_out = Parameters("OUTPUT" )->asGridList();
pShapes = Parameters("POLYGONS")->asShapes();
m_bNoData = Parameters("NODATA" )->asBool();
//-----------------------------------------------------
if( pShapes->Get_Type() == SHAPE_TYPE_Polygon && pShapes->Get_Count() > 0
&& Get_System()->Get_Extent().Intersects(pShapes->Get_Extent()) )
{
// create temporary grid.
// Cells within the shapefile get the value +1
// Cells outside the shapefile get the value -1
Mask.Create(*Get_System(), SG_DATATYPE_Byte);
//-------------------------------------------------
// Get_Mask assignes +1 values to gridcells within the shapefile
// The function has been copied from Module: 'Grid_Statistics_AddTo_Polygon'
// Function: Get_ShapeIDs(...)
// and check extent of valid values in Mask to
// calculate GridSystem parameters pGrid_out
if( Get_Mask(pShapes, &Mask) && Get_Extent(ax, nx, ay, ny, &Mask, pGrids_in) )
{
for(int iGrid=0; iGrid<pGrids_in->Get_Count(); iGrid++)
{
pGrid_in = pGrids_in->asGrid(iGrid);
pGrid_out = SG_Create_Grid( // creating the output grid GridSystem
pGrid_in->Get_Type(), nx, ny, Get_Cellsize(),
Get_XMin() + ax * Get_Cellsize(),
Get_YMin() + ay * Get_Cellsize()
);
pGrid_out ->Set_Name(pGrid_in->Get_Name());
pGrid_out ->Set_NoData_Value(pGrid_in->Get_NoData_Value());
pGrids_out ->Add_Item(pGrid_out);
// Assign valid values from input grid to the cells of the
// output grid that are within the borders of the shapefile
// Assign NoData values to the cells outside the shapefile borders
for(y=0, iy=ay; y<ny && Set_Progress(y, ny); y++, iy++)
{
for(x=0, ix=ax; x<nx; x++, ix++)
{
if( Mask.asDouble(ix, iy) == MASK_ON ) // -1 = NoData_Value
{
pGrid_out->Set_Value(x, y, pGrid_in->asDouble(ix, iy));
}
else
{
pGrid_out->Set_NoData(x, y);
}
}
}
}
return( true );
}
}
return( false );
}
//---------------------------------------------------------
bool CCropToData::On_Execute(void)
{
CSG_Parameter_Grid_List *pGrids = Parameters("INPUT")->asGridList();
//-----------------------------------------------------
if( pGrids->Get_Count() <= 0 )
{
Error_Set(_TL("no grids in selection"));
return( false );
}
//-----------------------------------------------------
bool bCrop = false;
int xMin, yMin, xMax, yMax;
//-----------------------------------------------------
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
for(int x=0; x<Get_NX(); x++)
{
bool bData = false;
for(int i=0; i<pGrids->Get_Count() && !bData; i++)
{
if( !pGrids->asGrid(i)->is_NoData(x, y) )
{
bData = true;
}
}
if( bData )
{
if( bCrop == false )
{
bCrop = true;
xMin = xMax = x;
yMin = yMax = y;
}
else
{
if( xMin > x )
{
xMin = x;
}
else if( xMax < x )
{
xMax = x;
}
if( yMin > y )
{
yMin = y;
}
else if( yMax < y )
{
yMax = y;
}
}
}
}
}
//-----------------------------------------------------
if( bCrop == false )
{
Message_Add(CSG_String::Format(SG_T("%s: %s"), _TL("nothing to crop"), _TL("no valid data found in grid(s)")));
}
else if( (1 + xMax - xMin) == Get_NX() && (1 + yMax - yMin) == Get_NY() )
{
Message_Add(CSG_String::Format(SG_T("%s: %s"), _TL("nothing to crop"), _TL("valid data cells match original grid extent")));
}
else
{
CSG_Parameter_Grid_List *pCropped = Parameters("OUTPUT")->asGridList();
pCropped->Del_Items();
for(int i=0; i<pGrids->Get_Count(); i++)
{
CSG_Grid *pGrid = SG_Create_Grid(
pGrids->asGrid(i)->Get_Type(),
1 + xMax - xMin,
1 + yMax - yMin,
Get_Cellsize(),
Get_XMin() + xMin * Get_Cellsize(),
Get_YMin() + yMin * Get_Cellsize()
);
pGrid->Assign(pGrids->asGrid(i), GRID_INTERPOLATION_NearestNeighbour);
pGrid->Set_Name(pGrids->asGrid(i)->Get_Name());
pCropped->Add_Item(pGrid);
}
}
//-----------------------------------------------------
return( true );
}
//---------------------------------------------------------
CSG_Shape * CWatersheds_ext::Get_Basin(CSG_Grid *pBasins, CSG_Shapes *pPolygons)
{
int x, y, nEdges, Basin_ID;
CSG_Grid Edge;
CSG_Shape *pPolygon = NULL;
Basin_ID = 1 + pPolygons->Get_Count();
//-----------------------------------------------------
Edge.Create(SG_DATATYPE_Char, 2 * Get_NX() + 1, 2 * Get_NY() + 1, 0.5 * Get_Cellsize(), Get_XMin() - 0.5 * Get_Cellsize(), Get_YMin() - 0.5 * Get_Cellsize());
Edge.Set_NoData_Value(0);
for(y=0, nEdges=0; y<Get_NY() && Process_Get_Okay(); y++)
{
for(x=0; x<Get_NX(); x++)
{
if( pBasins->asInt(x, y) == Basin_ID )
{
for(int i=0; i<8; i+=2)
{
int ix = Get_xTo(i, x);
int iy = Get_yTo(i, y);
if( !is_InGrid(ix, iy) || pBasins->asInt(ix, iy) != Basin_ID )
{
ix = 1 + 2 * x;
iy = 1 + 2 * y;
Edge.Set_Value( ix, iy , 1);
Edge.Set_Value(Get_xTo(i , ix), Get_yTo(i , iy), -1);
Edge.Set_Value(Get_xTo(i - 1, ix), Get_yTo(i - 1, iy), -1);
nEdges++;
}
}
}
}
}
//-----------------------------------------------------
if( nEdges > 0 )
{
for(int yEdge=0; yEdge<Edge.Get_NY(); yEdge++) for(int xEdge=0; xEdge<Edge.Get_NX(); xEdge++)
{
int i = 4;
if( Edge.asInt(xEdge, yEdge) == 1 && Edge.asInt(Get_xTo(i, xEdge), Get_yTo(i, yEdge)) == -1 )
{
if( pPolygon == NULL )
{
pPolygon = pPolygons->Add_Shape();
}
int iPart = pPolygon->Get_Part_Count();
int xFirst = x = Get_xTo(i, xEdge);
int yFirst = y = Get_yTo(i, yEdge);
i = i + 2;
pPolygon ->Add_Point(Edge.Get_System().Get_Grid_to_World(x, y), iPart);
do
{
int ix = Get_xTo(i + 2, x);
int iy = Get_yTo(i + 2, y);
if( Edge.is_InGrid(ix, iy) && Edge.asInt(ix, iy) == -1 ) // go right ?
{
pPolygon->Add_Point(Edge.Get_System().Get_Grid_to_World(x, y), iPart);
i = (i + 2) % 8;
}
else
{
if( Edge.asInt(ix, iy) == 1 )
{
Edge.Set_NoData(ix, iy); // erase class id in right cells
}
ix = Get_xTo(i, x);
iy = Get_yTo(i, y);
if( Edge.is_InGrid(ix, iy) && Edge.asInt(ix, iy) == -1 ) // go ahead ?
{
// nop
}
else
{
ix = Get_xTo(i + 6, x);
iy = Get_yTo(i + 6, y);
if( Edge.is_InGrid(ix, iy) && Edge.asInt(ix, iy) == -1 ) // go left ?
{
pPolygon->Add_Point(Edge.Get_System().Get_Grid_to_World(x, y), iPart);
i = (i + 6) % 8;
}
else
{
return( false );
}
}
}
x = ix;
y = iy;
}
while( x != xFirst || y != yFirst );
pPolygon->Add_Point(Edge.Get_System().Get_Grid_to_World(x, y), iPart);
}
}
}
//-----------------------------------------------------
return( pPolygon );
}
//---------------------------------------------------------
bool CSADO_SolarRadiation::Initialise(void)
{
int x, y;
Process_Set_Text(_TL("initialising..."));
//-----------------------------------------------------
CSG_Colors c(100, SG_COLORS_YELLOW_RED, true);
c.Set_Ramp(SG_GET_RGB( 0, 0, 64), SG_GET_RGB(255, 159, 0), 0, 50);
c.Set_Ramp(SG_GET_RGB(255, 159, 0), SG_GET_RGB(255, 255, 255), 50, 99);
if( m_pSumDirect )
{
m_pSumDirect->Assign(0.0);
m_pSumDirect->Set_Unit(_TL("Joule"));
DataObject_Set_Colors(m_pSumDirect, c);
if( m_bUpdateDirect )
{
m_TmpDirect.Create(*Get_System(), SG_DATATYPE_Float);
DataObject_Update(m_pSumDirect, true);
}
}
if( m_pSumDiffus )
{
m_pSumDiffus->Assign(0.0);
m_pSumDiffus->Set_Unit(_TL("Joule"));
DataObject_Set_Colors(m_pSumDiffus, c);
if( m_bUpdateDiffus )
{
m_TmpDiffus.Create(*Get_System(), SG_DATATYPE_Float);
DataObject_Update(m_pSumDiffus, true);
}
}
if( m_pSumTotal )
{
m_pSumTotal ->Assign(0.0);
m_pSumTotal ->Set_Unit(_TL("Joule"));
DataObject_Set_Colors(m_pSumTotal , c);
if( m_bUpdateTotal )
{
m_TmpTotal.Create(*Get_System(), SG_DATATYPE_Float);
DataObject_Update(m_pSumTotal , true);
}
}
//-----------------------------------------------------
Process_Set_Text(_TL("initialising gradient..."));
m_Shade .Create(*Get_System(), SG_DATATYPE_Byte);
m_Slope .Create(*Get_System(), SG_DATATYPE_Float);
m_Aspect.Create(*Get_System(), SG_DATATYPE_Float);
for(y=0; y<Get_NY() && Set_Progress(y); y++)
{
for(x=0; x<Get_NX(); x++)
{
double s, a;
if( m_pDEM->Get_Gradient(x, y, s, a) )
{
m_Slope .Set_Value(x, y, s);
m_Aspect.Set_Value(x, y, a);
}
else
{
m_Slope .Set_NoData(x, y);
m_Aspect.Set_NoData(x, y);
}
}
}
//-----------------------------------------------------
if( m_bBending )
{
Process_Set_Text(_TL("initialising planetary bending..."));
CSG_Grid *pLat = Parameters("GRD_LAT")->asGrid(),
*pLon = Parameters("GRD_LON")->asGrid();
m_Lat .Create(*Get_System(), SG_DATATYPE_Float);
m_Lon .Create(*Get_System(), SG_DATATYPE_Float);
m_Decline .Create(*Get_System(), SG_DATATYPE_Float);
m_Azimuth .Create(*Get_System(), SG_DATATYPE_Float);
if( pLat || pLon )
{
if( pLat )
{
m_Lat = *pLat;
m_Lat *= M_DEG_TO_RAD;
}
if( pLon )
{
m_Lon = *pLon;
m_Lon *= M_DEG_TO_RAD;
}
}
//-------------------------------------------------
else
{
double d, dx, dy, dxA, dyA;
d = M_DEG_TO_RAD / (Parameters("RADIUS")->asDouble() * M_PI / 180.0);
switch( Parameters("LON_OFFSET")->asInt() )
{
case 0: dxA = Get_System()->Get_Extent().Get_XMin(); break; // left
case 1: dxA = Get_System()->Get_Extent().Get_XCenter(); break; // center
case 2: dxA = Get_System()->Get_Extent().Get_XMax(); break; // right
case 3: dxA = Parameters("LON_REF_USER")->asDouble(); break; // user defined coordinate
}
switch( Parameters("LAT_OFFSET")->asInt() )
{
case 0: dyA = Get_System()->Get_Extent().Get_YMin(); break; // bottom
case 1: dyA = Get_System()->Get_Extent().Get_YCenter(); break; // center
case 2: dyA = Get_System()->Get_Extent().Get_YMax(); break; // top
case 3: dyA = Parameters("LAT_REF_USER")->asDouble(); break; // user defined coordinate
}
dxA = d * (Get_XMin() - dxA);
dyA = d * (Get_YMin() - dyA) + m_Latitude;
d *= Get_Cellsize();
for(y=0, dy=dyA; y<Get_NY() && Set_Progress(y); y++, dy+=d)
{
for(x=0, dx=dxA; x<Get_NX(); x++, dx+=d)
{
m_Lat.Set_Value(x, y, dy);
m_Lon.Set_Value(x, y, dx);
}
}
}
}
//-----------------------------------------------------
return( true );
}
//---------------------------------------------------------
CSG_Grid & CSG_Grid::_Operation_Arithmetic(const CSG_Grid &Grid, TSG_Grid_Operation Operation)
{
if( is_Intersecting(Grid.Get_Extent()) )
{
int x, y;
double xWorld, yWorld, Value;
TSG_Grid_Interpolation Interpolation;
Interpolation = Get_Cellsize() == Grid.Get_Cellsize() && fmod(Get_XMin() - Grid.Get_XMin(), Get_Cellsize()) == 0.0
&& Get_Cellsize() == Grid.Get_Cellsize() && fmod(Get_YMin() - Grid.Get_YMin(), Get_Cellsize()) == 0.0
? GRID_INTERPOLATION_NearestNeighbour
: GRID_INTERPOLATION_BSpline;
for(y=0, yWorld=Get_YMin(); y<Get_NY() && SG_UI_Process_Set_Progress(y, Get_NY()); y++, yWorld+=Get_Cellsize())
{
for(x=0, xWorld=Get_XMin(); x<Get_NX(); x++, xWorld+=Get_Cellsize())
{
if( !Grid.Get_Value(xWorld, yWorld, Value, Interpolation, true) )
{
Set_NoData(x, y);
}
else switch( Operation )
{
case GRID_OPERATION_Addition:
Add_Value(x, y, Value);
break;
case GRID_OPERATION_Subtraction:
Add_Value(x, y, -Value);
break;
case GRID_OPERATION_Multiplication:
Mul_Value(x, y, Value);
break;
case GRID_OPERATION_Division:
if( Value != 0.0 )
{
Mul_Value(x, y, 1.0 / Value);
}
else
{
Set_NoData(x, y);
}
break;
}
}
}
SG_UI_Process_Set_Ready();
//-------------------------------------------------
switch( Operation )
{
case GRID_OPERATION_Addition:
Get_History().Add_Child(SG_T("GRID_OPERATION"), Grid.Get_Name())->Add_Property(SG_T("NAME"), LNG("Addition"));
break;
case GRID_OPERATION_Subtraction:
Get_History().Add_Child(SG_T("GRID_OPERATION"), Grid.Get_Name())->Add_Property(SG_T("NAME"), LNG("Subtraction"));
break;
case GRID_OPERATION_Multiplication:
Get_History().Add_Child(SG_T("GRID_OPERATION"), Grid.Get_Name())->Add_Property(SG_T("NAME"), LNG("Multiplication"));
break;
case GRID_OPERATION_Division:
Get_History().Add_Child(SG_T("GRID_OPERATION"), Grid.Get_Name())->Add_Property(SG_T("NAME"), LNG("Division"));
break;
}
Get_History() += ((CSG_Grid *)&Grid)->Get_History();
}
return( *this );
}
//---------------------------------------------------------
bool CSG_Grid::_Assign_MeanValue(CSG_Grid *pGrid, bool bAreaProportional)
{
if( Get_Cellsize() < pGrid->Get_Cellsize() || is_Intersecting(pGrid->Get_Extent()) == INTERSECTION_None )
{
return( false );
}
//-----------------------------------------------------
int x, y, ix, iy, jx, jy;
double px, py, ax, ay, d, w, wx, wy, z;
CSG_Matrix S(Get_NY(), Get_NX()), N(Get_NY(), Get_NX());
d = pGrid->Get_Cellsize() / Get_Cellsize();
Set_NoData_Value(pGrid->Get_NoData_Value());
Assign_NoData();
//-----------------------------------------------------
if( bAreaProportional == false )
{
ax = 0.5 + (pGrid->Get_XMin() - Get_XMin()) / Get_Cellsize();
ay = 0.5 + (pGrid->Get_YMin() - Get_YMin()) / Get_Cellsize();
for(y=0, py=ay; y<pGrid->Get_NY() && SG_UI_Process_Set_Progress(y, pGrid->Get_NY()); y++, py+=d)
{
if( (iy = (int)floor(py)) >= 0 && iy < Get_NY() )
{
for(x=0, px=ax; x<pGrid->Get_NX(); x++, px+=d)
{
if( !pGrid->is_NoData(x, y) && (ix = (int)floor(px)) >= 0 && ix < Get_NX() )
{
S[ix][iy] += pGrid->asDouble(x, y);
N[ix][iy] ++;
}
}
}
}
}
//-----------------------------------------------------
else // if( bAreaProportional == true )
{
ax = ((pGrid->Get_XMin() - 0.5 * pGrid->Get_Cellsize()) - (Get_XMin() - 0.5 * Get_Cellsize())) / Get_Cellsize();
ay = ((pGrid->Get_YMin() - 0.5 * pGrid->Get_Cellsize()) - (Get_YMin() - 0.5 * Get_Cellsize())) / Get_Cellsize();
for(y=0, py=ay; y<pGrid->Get_NY() && SG_UI_Process_Set_Progress(y, pGrid->Get_NY()); y++, py+=d)
{
if( py > -d || py < Get_NY() )
{
iy = (int)floor(py);
wy = (py + d) - iy;
wy = wy < 1.0 ? 1.0 : wy - 1.0;
for(x=0, px=ax; x<pGrid->Get_NX(); x++, px+=d)
{
if( !pGrid->is_NoData(x, y) && (px > -d && px < Get_NX()) )
{
ix = (int)floor(px);
wx = (px + d) - ix;
wx = wx < 1.0 ? 1.0 : wx - 1.0;
z = pGrid->asDouble(x, y);
if( iy >= 0 && iy < Get_NY() ) // wy > 0.0 is always true
{
if( ix >= 0 && ix < Get_NX() ) // wx > 0.0 is always true
{
w = wx * wy;
S[ix][iy] += w * z;
N[ix][iy] += w;
}
if( wx < 1.0 && (jx = ix + 1) >= 0 && jx < Get_NX() )
{
w = (1.0 - wx) * wy;
S[jx][iy] += w * z;
N[jx][iy] += w;
}
}
if( wy < 1.0 && (jy = iy + 1) >= 0 && jy < Get_NY() )
{
if( ix >= 0 && ix < Get_NX() )
{
w = wx * (1.0 - wy);
S[ix][jy] += w * z;
N[ix][jy] += w;
}
if( wx < 1.0 && (jx = ix + 1) >= 0 && jx < Get_NX() )
{
w = (1.0 - wx) * (1.0 - wy);
S[jx][jy] += w * z;
N[jx][jy] += w;
}
}
}
}
}
}
}
//-----------------------------------------------------
for(y=0; y<Get_NY() && SG_UI_Process_Set_Progress(y, Get_NY()); y++)
{
for(x=0; x<Get_NX(); x++)
{
if( N[x][y] )
{
Set_Value(x, y, S[x][y] / N[x][y]);
}
else
{
Set_NoData(x, y);
}
}
}
//-----------------------------------------------------
Get_History() = pGrid->Get_History();
Get_History().Add_Child(SG_T("GRID_OPERATION"), CSG_String::Format(SG_T("%f -> %f"), pGrid->Get_Cellsize(), Get_Cellsize()))->Add_Property(SG_T("NAME"), LNG("Resampling"));
SG_UI_Process_Set_Ready();
return( true );
}
//---------------------------------------------------------
bool CGrid_Gaps_Resampling::On_Execute(void)
{
//-----------------------------------------------------
CSG_Grid *pGrid = Parameters("RESULT")->asGrid();
CSG_Grid *pMask = Parameters("MASK" )->asGrid();
if( pGrid == NULL )
{
pGrid = Parameters("INPUT")->asGrid();
}
else
{
pGrid->Assign(Parameters("INPUT")->asGrid());
pGrid->Fmt_Name("%s [%s]", Parameters("INPUT")->asGrid()->Get_Name(), _TL("no gaps"));
}
//-----------------------------------------------------
TSG_Grid_Resampling Resampling;
switch( Parameters("RESAMPLING")->asInt() )
{
default: Resampling = GRID_RESAMPLING_NearestNeighbour; break;
case 1: Resampling = GRID_RESAMPLING_Bilinear ; break;
case 2: Resampling = GRID_RESAMPLING_BicubicSpline ; break;
case 3: Resampling = GRID_RESAMPLING_BSpline ; break;
}
//-----------------------------------------------------
CSG_Grid_Pyramid Pyramid;
if( !Pyramid.Create(pGrid, Parameters("GROW")->asDouble()) )
{
Error_Set(_TL("failed to create pyramid"));
return( false );
}
//-----------------------------------------------------
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
double py = Get_YMin() + y * Get_Cellsize();
#pragma omp parallel for
for(int x=0; x<Get_NX(); x++)
{
if( pGrid->is_NoData(x, y) && (!pMask || !pMask->is_NoData(x, y)) )
{
double px = Get_XMin() + x * Get_Cellsize();
for(int i=0; i<Pyramid.Get_Count(); i++)
{
CSG_Grid *pPatch = Pyramid.Get_Grid(i);
if( pPatch->is_InGrid_byPos(px, py) )
{
pGrid->Set_Value(x, y, pPatch->Get_Value(px, py, Resampling));
break;
}
}
}
}
}
//-----------------------------------------------------
if( pGrid == Parameters("INPUT")->asGrid() )
{
DataObject_Update(pGrid);
}
return( true );
}
//---------------------------------------------------------
bool CWatershed_Segmentation::Get_Borders(void)
{
Process_Set_Text(_TL("Borders"));
CSG_Grid *pBorders = SG_Create_Grid(SG_DATATYPE_Byte, Get_NX() + 2, Get_NY() + 2, Get_Cellsize(), Get_XMin() - 0.5 * Get_Cellsize(), Get_YMin() - 0.5 * Get_Cellsize());
pBorders->Set_NoData_Value(0);
Parameters("BORDERS")->Set_Value(pBorders);
for(int y=0, yy=1; yy<Get_NY() && Set_Progress(yy); y++, yy++)
{
for(int x=0, xx=1; xx<Get_NX(); x++, xx++)
{
int id = m_pSegments->asInt(x, y);
if( id != m_pSegments->asInt(xx, y) )
{
pBorders->Set_Value(xx, y, 1);
}
if( id != m_pSegments->asInt( x, yy) )
{
pBorders->Set_Value( x, yy, 1);
}
if( id != m_pSegments->asInt(xx, yy) )
{
pBorders->Set_Value(xx, yy, 1);
}
}
}
return( true );
}
//---------------------------------------------------------
bool CGCS_Grid_Longitude_Range::On_Execute(void)
{
CSG_Parameter_Grid_List *pInput = Parameters("INPUT" )->asGridList();
CSG_Parameter_Grid_List *pOutput = Parameters("OUTPUT")->asGridList();
if( pInput->Get_Count() <= 0 )
{
Message_Dlg(_TL("nothing to do: no data in selection"));
return( false );
}
pOutput->Del_Items();
//-----------------------------------------------------
int xZero;
CSG_Grid_System Target;
//-----------------------------------------------------
if( Parameters("DIRECTION")->asInt() == 0 ) // 0 - 360 >> -180 - 180
{
if( Get_XMax() <= 180.0 )
{
Message_Add(_TL("Nothing to do. Raster is already within target range."));
return( true );
}
else if( Get_XMin() >= 180.0 )
{
xZero = 0;
Target.Assign(Get_Cellsize(), Get_XMin() - 360.0, Get_YMin(), Get_NX(), Get_NY());
}
else if( Get_XMax() - 360.0 < Get_XMin() - Get_Cellsize() )
{
Error_Set(_TL("Nothing to do be done. Raster splitting is not supported."));
return( false );
}
else
{
xZero = (int)(0.5 + 180.0 / Get_Cellsize());
Target.Assign(Get_Cellsize(), Get_XMin() - 180.0, Get_YMin(), Get_NX(), Get_NY());
}
}
//-----------------------------------------------------
else // -180 - 180 >> 0 - 360
{
if( Get_XMin() >= 0.0 )
{
Message_Add(_TL("Nothing to do. Raster is already within target range."));
return( true );
}
else if( Get_XMax() <= 0.0 )
{
xZero = 0;
Target.Assign(Get_Cellsize(), Get_XMin() + 360.0, Get_YMin(), Get_NX(), Get_NY());
}
else if( Get_XMin() + 360.0 > Get_XMax() + Get_Cellsize() )
{
Error_Set(_TL("Nothing to do be done. Raster splitting is not supported."));
return( false );
}
else
{
xZero = (int)(0.5 + 180.0 / Get_Cellsize());
Target.Assign(Get_Cellsize(), Get_XMin() - 180.0, Get_YMin(), Get_NX(), Get_NY());
}
}
//-----------------------------------------------------
for(int i=0; i<pInput->Get_Count() && Process_Get_Okay(); i++)
{
CSG_Grid *pIn = pInput->asGrid(i);
CSG_Grid *pOut = SG_Create_Grid(Target, pIn->Get_Type());
pOut->Set_Name(pIn->Get_Name());
pOut->Set_NoData_Value_Range(pIn->Get_NoData_Value(), pIn->Get_NoData_hiValue());
pOut->Set_ZFactor(pIn->Get_ZFactor());
pOutput->Add_Item(pOut);
for(int y=0; y<Get_NY() && Set_Progress(y); y++)
{
for(int x=0, xx=xZero; x<Get_NX(); x++, xx++)
{
if( xx >= Get_NX() )
{
xx = 0;
}
pOut->Set_Value(xx, y, pIn->asDouble(x, y));
}
}
}
//-----------------------------------------------------
return( true );
}
