23 #include "base/Optionpk.h"
24 #include "algorithms/StatFactory.h"
25 #include "algorithms/ImgRegression.h"
80 int main(
int argc,
char *argv[])
84 Optionpk<bool> filename_opt(
"f",
"filename",
"Shows image filename ",
false);
85 Optionpk<bool> stat_opt(
"stats",
"statistics",
"Shows basic statistics (min,max, mean and stdDev of the raster datasets)",
false);
91 Optionpk<short> down_opt(
"down",
"down",
"Down sampling factor (for raster sample datasets only). Can be used to create grid points", 1);
93 Optionpk<double> scale_opt(
"scale",
"scale",
"Scale(s) for reading input image(s)");
94 Optionpk<double> offset_opt(
"offset",
"offset",
"Offset(s) for reading input image(s)");
101 Optionpk<bool> median_opt(
"median",
"median",
"calculate median",
false);
103 Optionpk<bool> skewness_opt(
"skew",
"skewness",
"calculate skewness",
false);
104 Optionpk<bool> kurtosis_opt(
"kurt",
"kurtosis",
"calculate kurtosis",
false);
105 Optionpk<bool> stdev_opt(
"stdev",
"stdev",
"calculate standard deviation",
false);
106 Optionpk<bool> sum_opt(
"sum",
"sum",
"calculate sum of column",
false);
107 Optionpk<bool> minmax_opt(
"mm",
"minmax",
"calculate minimum and maximum value",
false);
108 Optionpk<bool> min_opt(
"min",
"min",
"calculate minimum value",
false);
109 Optionpk<bool> max_opt(
"max",
"max",
"calculate maximum value",
false);
110 Optionpk<double> src_min_opt(
"src_min",
"src_min",
"start reading source from this minimum value");
111 Optionpk<double> src_max_opt(
"src_max",
"src_max",
"stop reading source from this maximum value");
112 Optionpk<bool> histogram_opt(
"hist",
"hist",
"calculate histogram",
false);
113 Optionpk<bool> histogram2d_opt(
"hist2d",
"hist2d",
"calculate 2-dimensional histogram based on two images",
false);
114 Optionpk<short> nbin_opt(
"nbin",
"nbin",
"number of bins to calculate histogram");
115 Optionpk<bool> relative_opt(
"rel",
"relative",
"use percentiles for histogram to calculate histogram",
false);
116 Optionpk<bool> kde_opt(
"kde",
"kde",
"Use Kernel density estimation when producing histogram. The standard deviation is estimated based on Silverman's rule of thumb",
false);
117 Optionpk<bool> rmse_opt(
"rmse",
"rmse",
"calculate root mean square error between two raster datasets",
false);
118 Optionpk<bool> reg_opt(
"reg",
"regression",
"calculate linear regression between two raster datasets and get correlation coefficient",
false);
119 Optionpk<bool> regerr_opt(
"regerr",
"regerr",
"calculate linear regression between two raster datasets and get root mean square error",
false);
120 Optionpk<bool> preg_opt(
"preg",
"preg",
"calculate perpendicular regression between two raster datasets and get correlation coefficient",
false);
121 Optionpk<short> verbose_opt(
"v",
"verbose",
"verbose mode when positive", 0,2);
127 random_opt.setHide(1);
128 scale_opt.setHide(1);
129 offset_opt.setHide(1);
130 src_min_opt.setHide(1);
131 src_max_opt.setHide(1);
140 doProcess=input_opt.retrieveOption(argc,argv);
142 band_opt.retrieveOption(argc,argv);
143 filename_opt.retrieveOption(argc,argv);
144 stat_opt.retrieveOption(argc,argv);
145 nodata_opt.retrieveOption(argc,argv);
146 mean_opt.retrieveOption(argc,argv);
147 median_opt.retrieveOption(argc,argv);
148 var_opt.retrieveOption(argc,argv);
149 stdev_opt.retrieveOption(argc,argv);
150 minmax_opt.retrieveOption(argc,argv);
151 min_opt.retrieveOption(argc,argv);
152 max_opt.retrieveOption(argc,argv);
153 histogram_opt.retrieveOption(argc,argv);
154 nbin_opt.retrieveOption(argc,argv);
155 relative_opt.retrieveOption(argc,argv);
156 histogram2d_opt.retrieveOption(argc,argv);
157 rmse_opt.retrieveOption(argc,argv);
158 reg_opt.retrieveOption(argc,argv);
159 regerr_opt.retrieveOption(argc,argv);
160 preg_opt.retrieveOption(argc,argv);
162 ulx_opt.retrieveOption(argc,argv);
163 uly_opt.retrieveOption(argc,argv);
164 lrx_opt.retrieveOption(argc,argv);
165 lry_opt.retrieveOption(argc,argv);
166 down_opt.retrieveOption(argc,argv);
167 random_opt.retrieveOption(argc,argv);
168 scale_opt.retrieveOption(argc,argv);
169 offset_opt.retrieveOption(argc,argv);
170 src_min_opt.retrieveOption(argc,argv);
171 src_max_opt.retrieveOption(argc,argv);
172 kde_opt.retrieveOption(argc,argv);
173 verbose_opt.retrieveOption(argc,argv);
175 catch(
string predefinedString){
176 std::cout << predefinedString << std::endl;
181 cout <<
"Usage: pkstat -i input" << endl;
183 std::cout <<
"short option -h shows basic options only, use long option --help to show all options" << std::endl;
187 if(src_min_opt.size()){
188 while(src_min_opt.size()<band_opt.size())
189 src_min_opt.push_back(src_min_opt[0]);
191 if(src_max_opt.size()){
192 while(src_max_opt.size()<band_opt.size())
193 src_max_opt.push_back(src_max_opt[0]);
206 const char* pszMessage;
207 void* pProgressArg=NULL;
208 GDALProgressFunc pfnProgress=GDALTermProgress;
214 std::vector<double> histogramOutput;
219 if(scale_opt.size()){
220 while(scale_opt.size()<input_opt.size())
221 scale_opt.push_back(scale_opt[0]);
223 if(offset_opt.size()){
224 while(offset_opt.size()<input_opt.size())
225 offset_opt.push_back(offset_opt[0]);
227 if(input_opt.empty()){
228 std::cerr <<
"No image dataset provided (use option -i). Use --help for help information";
231 for(
int ifile=0;ifile<input_opt.size();++ifile){
233 imgReader.open(input_opt[ifile]);
235 catch(std::string errorstring){
236 std::cout << errorstring << std::endl;
241 std::cout <<
" --input " << input_opt[ifile] <<
" ";
243 for(
int inodata=0;inodata<nodata_opt.size();++inodata)
244 imgReader.pushNoDataValue(nodata_opt[inodata]);
246 int nband=band_opt.size();
247 for(
int iband=0;iband<nband;++iband){
249 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
251 imgReader.GDALSetNoDataValue(nodata_opt[0],band_opt[iband]);
254 if(offset_opt.size()>ifile)
255 imgReader.setOffset(offset_opt[ifile],band_opt[iband]);
256 if(scale_opt.size()>ifile)
257 imgReader.setScale(scale_opt[ifile],band_opt[iband]);
277 if(minmax_opt[0]||min_opt[0]||max_opt[0]){
278 assert(band_opt[iband]<imgReader.nrOfBand());
280 if((ulx_opt.size()||uly_opt.size()||lrx_opt.size()||lry_opt.size())&&(imgReader.covers(ulx_opt[0],uly_opt[0],lrx_opt[0],lry_opt[0]))){
281 double uli,ulj,lri,lrj;
282 imgReader.geo2image(ulx_opt[0],uly_opt[0],uli,ulj);
283 imgReader.geo2image(lrx_opt[0],lry_opt[0],lri,lrj);
284 imgReader.getMinMax(static_cast<int>(uli),static_cast<int>(lri),static_cast<int>(ulj),static_cast<int>(lrj),band_opt[iband],minValue,maxValue);
287 imgReader.getMinMax(minValue,maxValue,band_opt[iband],
true);
290 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" ";
293 std::cout <<
"-min " << minValue <<
" ";
295 std::cout <<
"-max " << maxValue <<
" ";
299 if(histogram_opt[0]){
300 assert(band_opt[0]<imgReader.nrOfBand());
301 nbin=(nbin_opt.size())? nbin_opt[0]:0;
303 imgReader.getMinMax(minValue,maxValue,band_opt[0]);
304 if(src_min_opt.size())
305 minValue=src_min_opt[0];
306 if(src_max_opt.size())
307 maxValue=src_max_opt[0];
308 if(minValue>=maxValue)
309 imgReader.getMinMax(minValue,maxValue,band_opt[0]);
312 cout <<
"number of valid pixels in image: " << imgReader.getNvalid(band_opt[0]) << endl;
314 nsample+=imgReader.getHistogram(histogramOutput,minValue,maxValue,nbin,band_opt[0],kde_opt[0]);
317 if(ifile==input_opt.size()-1){
318 std::cout.precision(10);
319 for(
int bin=0;bin<nbin;++bin){
321 if(nbin==maxValue-minValue+1)
322 binValue=minValue+bin;
324 binValue=minValue+
static_cast<double>(maxValue-minValue)*(bin+0.5)/nbin;
325 std::cout << binValue <<
" ";
326 if(relative_opt[0]||kde_opt[0])
327 std::cout << 100.0*
static_cast<double>(histogramOutput[bin])/static_cast<double>(nsample) << std::endl;
329 std::cout << static_cast<double>(histogramOutput[bin]) << std::endl;
333 if(histogram2d_opt[0]&&input_opt.size()<2){
334 assert(band_opt.size()>1);
335 imgReader.getMinMax(minX,maxX,band_opt[0]);
336 imgReader.getMinMax(minY,maxY,band_opt[1]);
337 if(src_min_opt.size()){
341 if(src_max_opt.size()){
345 nbin=(nbin_opt.size())? nbin_opt[0]:0;
347 std::cerr <<
"Warning: number of bins not defined, calculating bins from min and max value" << std::endl;
349 imgReader.getMinMax(minX,maxX,band_opt[0]);
351 imgReader.getMinMax(minY,maxY,band_opt[1]);
353 minValue=(minX<minY)? minX:minY;
354 maxValue=(maxX>maxY)? maxX:maxY;
356 std::cout <<
"min and max values: " << minValue <<
", " << maxValue << std::endl;
357 nbin=maxValue-minValue+1;
363 assert(band_opt[0]<imgReader.nrOfBand());
364 assert(band_opt[1]<imgReader.nrOfBand());
365 GDALProgressFunc pfnProgress;
367 GDALRasterBand* rasterBand;
370 rasterBand=imgReader.getRasterBand(band_opt[0]);
371 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev1,pfnProgress,pProgressData);
372 rasterBand=imgReader.getRasterBand(band_opt[1]);
373 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev2,pfnProgress,pProgressData);
375 double estimatedSize=1.0*imgReader.getNvalid(band_opt[0])/down_opt[0]/down_opt[0];
377 estimatedSize*=random_opt[0]/100.0;
378 sigma=1.06*sqrt(stdDev1*stdDev2)*pow(estimatedSize,-0.2);
383 std::cout <<
"calculating 2d kernel density estimate with sigma " << sigma <<
" for bands " << band_opt[0] <<
" and " << band_opt[1] << std::endl;
385 std::cout <<
"calculating 2d histogram for bands " << band_opt[0] <<
" and " << band_opt[1] << std::endl;
386 std::cout <<
"nbin: " << nbin << std::endl;
390 vector< vector<double> > output;
393 imgReader.getMinMax(minX,maxX,band_opt[0]);
395 imgReader.getMinMax(minY,maxY,band_opt[1]);
398 std::ostringstream s;
399 s<<
"Error: could not calculate distribution (minX>=maxX)";
403 std::ostringstream s;
404 s<<
"Error: could not calculate distribution (minY>=maxY)";
408 for(
int i=0;i<nbin;++i){
409 output[i].resize(nbin);
410 for(
int j=0;j<nbin;++j)
415 vector<double> inputX(imgReader.nrOfCol());
416 vector<double> inputY(imgReader.nrOfCol());
417 unsigned long int nvalid=0;
418 for(
int irow=0;irow<imgReader.nrOfRow();++irow){
421 imgReader.readData(inputX,GDT_Float64,irow,band_opt[0]);
422 imgReader.readData(inputY,GDT_Float64,irow,band_opt[1]);
423 for(
int icol=0;icol<imgReader.nrOfCol();++icol){
427 double p=
static_cast<double>(rand())/(RAND_MAX);
432 if(imgReader.isNoData(inputX[icol]))
434 if(imgReader.isNoData(inputY[icol]))
437 if(inputX[icol]>=maxX)
439 else if(inputX[icol]<=minX)
442 binX=
static_cast<int>(
static_cast<double>(inputX[icol]-minX)/(maxX-minX)*nbin);
443 if(inputY[icol]>=maxY)
445 else if(inputY[icol]<=minX)
448 binY=
static_cast<int>(
static_cast<double>(inputY[icol]-minY)/(maxY-minY)*nbin);
450 assert(binX<output.size());
452 assert(binY<output[binX].size());
456 for(
int ibinX=0;ibinX<nbin;++ibinX){
457 double centerX=minX+
static_cast<double>(maxX-minX)*ibinX/nbin;
458 double pdfX=gsl_ran_gaussian_pdf(inputX[icol]-centerX, sigma);
459 for(
int ibinY=0;ibinY<nbin;++ibinY){
461 double centerY=minY+
static_cast<double>(maxY-minY)*ibinY/nbin;
462 double pdfY=gsl_ran_gaussian_pdf(inputY[icol]-centerY, sigma);
463 output[ibinX][binY]+=pdfX*pdfY;
468 ++output[binX][binY];
472 cout <<
"number of valid pixels: " << nvalid << endl;
474 for(
int binX=0;binX<nbin;++binX){
476 for(
int binY=0;binY<nbin;++binY){
478 if(nbin==maxX-minX+1)
481 binValueX=minX+
static_cast<double>(maxX-minX)*(binX+0.5)/nbin;
483 if(nbin==maxY-minY+1)
486 binValueY=minY+
static_cast<double>(maxY-minY)*(binY+0.5)/nbin;
488 double value=
static_cast<double>(output[binX][binY]);
493 cout << binValueX <<
" " << binValueY <<
" " << value << std::endl;
499 if(reg_opt[0]&&input_opt.size()<2){
500 if(band_opt.size()<2)
502 imgreg.setDown(down_opt[0]);
503 imgreg.setThreshold(random_opt[0]);
506 double r2=imgreg.getR2(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
507 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
509 if(regerr_opt[0]&&input_opt.size()<2){
510 if(band_opt.size()<2)
512 imgreg.setDown(down_opt[0]);
513 imgreg.setThreshold(random_opt[0]);
516 double err=imgreg.getRMSE(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
517 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -rmse " << err << std::endl;
519 if(rmse_opt[0]&&input_opt.size()<2){
520 if(band_opt.size()<2)
522 imgreg.setDown(down_opt[0]);
523 imgreg.setThreshold(random_opt[0]);
526 double err=imgreg.getRMSE(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
527 std::cout <<
" -rmse " << err << std::endl;
529 if(preg_opt[0]&&input_opt.size()<2){
530 if(band_opt.size()<2)
532 imgreg.setDown(down_opt[0]);
533 imgreg.setThreshold(random_opt[0]);
536 double r2=imgreg.pgetR2(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
537 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
541 if(reg_opt[0]&&(input_opt.size()>1)){
542 imgreg.setDown(down_opt[0]);
543 imgreg.setThreshold(random_opt[0]);
546 while(band_opt.size()<input_opt.size())
547 band_opt.push_back(band_opt[0]);
548 if(src_min_opt.size()){
549 while(src_min_opt.size()<input_opt.size())
550 src_min_opt.push_back(src_min_opt[0]);
552 if(src_max_opt.size()){
553 while(src_max_opt.size()<input_opt.size())
554 src_max_opt.push_back(src_max_opt[0]);
559 if(offset_opt.size())
560 imgReader1.setOffset(offset_opt[0],band_opt[0]);
562 imgReader1.setScale(scale_opt[0],band_opt[0]);
563 if(offset_opt.size()>1)
564 imgReader2.setOffset(offset_opt[1],band_opt[1]);
565 if(scale_opt.size()>1)
566 imgReader2.setScale(scale_opt[1],band_opt[1]);
568 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
570 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
571 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
573 imgReader1.pushNoDataValue(nodata_opt[inodata]);
574 imgReader2.pushNoDataValue(nodata_opt[inodata]);
577 double r2=imgreg.getR2(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
578 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
582 if(preg_opt[0]&&(input_opt.size()>1)){
583 imgreg.setDown(down_opt[0]);
584 imgreg.setThreshold(random_opt[0]);
587 while(band_opt.size()<input_opt.size())
588 band_opt.push_back(band_opt[0]);
589 if(src_min_opt.size()){
590 while(src_min_opt.size()<input_opt.size())
591 src_min_opt.push_back(src_min_opt[0]);
593 if(src_max_opt.size()){
594 while(src_max_opt.size()<input_opt.size())
595 src_max_opt.push_back(src_max_opt[0]);
600 if(offset_opt.size())
601 imgReader1.setOffset(offset_opt[0],band_opt[0]);
603 imgReader1.setScale(scale_opt[0],band_opt[0]);
604 if(offset_opt.size()>1)
605 imgReader2.setOffset(offset_opt[1],band_opt[1]);
606 if(scale_opt.size()>1)
607 imgReader2.setScale(scale_opt[1],band_opt[1]);
609 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
611 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
612 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
614 imgReader1.pushNoDataValue(nodata_opt[inodata]);
615 imgReader2.pushNoDataValue(nodata_opt[inodata]);
618 double r2=imgreg.pgetR2(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
619 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
623 if(regerr_opt[0]&&(input_opt.size()>1)){
624 imgreg.setDown(down_opt[0]);
625 imgreg.setThreshold(random_opt[0]);
628 while(band_opt.size()<input_opt.size())
629 band_opt.push_back(band_opt[0]);
630 if(src_min_opt.size()){
631 while(src_min_opt.size()<input_opt.size())
632 src_min_opt.push_back(src_min_opt[0]);
634 if(src_max_opt.size()){
635 while(src_max_opt.size()<input_opt.size())
636 src_max_opt.push_back(src_max_opt[0]);
641 if(offset_opt.size())
642 imgReader1.setOffset(offset_opt[0],band_opt[0]);
644 imgReader1.setScale(scale_opt[0],band_opt[0]);
645 if(offset_opt.size()>1)
646 imgReader2.setOffset(offset_opt[1],band_opt[1]);
647 if(scale_opt.size()>1)
648 imgReader2.setScale(scale_opt[1],band_opt[1]);
650 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
652 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
653 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
655 imgReader1.pushNoDataValue(nodata_opt[inodata]);
656 imgReader2.pushNoDataValue(nodata_opt[inodata]);
659 double err=imgreg.getRMSE(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
660 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -rmse " << err << std::endl;
664 if(rmse_opt[0]&&(input_opt.size()>1)){
665 imgreg.setDown(down_opt[0]);
666 imgreg.setThreshold(random_opt[0]);
669 while(band_opt.size()<input_opt.size())
670 band_opt.push_back(band_opt[0]);
671 if(src_min_opt.size()){
672 while(src_min_opt.size()<input_opt.size())
673 src_min_opt.push_back(src_min_opt[0]);
675 if(src_max_opt.size()){
676 while(src_max_opt.size()<input_opt.size())
677 src_max_opt.push_back(src_max_opt[0]);
682 if(offset_opt.size())
683 imgReader1.setOffset(offset_opt[0],band_opt[0]);
685 imgReader1.setScale(scale_opt[0],band_opt[0]);
686 if(offset_opt.size()>1)
687 imgReader2.setOffset(offset_opt[1],band_opt[1]);
688 if(scale_opt.size()>1)
689 imgReader2.setScale(scale_opt[1],band_opt[1]);
691 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
693 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
694 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
696 imgReader1.pushNoDataValue(nodata_opt[inodata]);
697 imgReader2.pushNoDataValue(nodata_opt[inodata]);
700 double err=imgreg.getRMSE(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
701 std::cout <<
"-rmse " << err << std::endl;
705 if(histogram2d_opt[0]&&(input_opt.size()>1)){
706 while(band_opt.size()<input_opt.size())
707 band_opt.push_back(band_opt[0]);
708 if(src_min_opt.size()){
709 while(src_min_opt.size()<input_opt.size())
710 src_min_opt.push_back(src_min_opt[0]);
712 if(src_max_opt.size()){
713 while(src_max_opt.size()<input_opt.size())
714 src_max_opt.push_back(src_max_opt[0]);
719 if(offset_opt.size())
720 imgReader1.setOffset(offset_opt[0],band_opt[0]);
722 imgReader1.setScale(scale_opt[0],band_opt[0]);
723 if(offset_opt.size()>1)
724 imgReader2.setOffset(offset_opt[1],band_opt[1]);
725 if(scale_opt.size()>1)
726 imgReader2.setScale(scale_opt[1],band_opt[1]);
728 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
730 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
731 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
733 imgReader1.pushNoDataValue(nodata_opt[inodata]);
734 imgReader2.pushNoDataValue(nodata_opt[inodata]);
737 imgReader1.getMinMax(minX,maxX,band_opt[0]);
738 imgReader2.getMinMax(minY,maxY,band_opt[1]);
741 cout <<
"minX: " << minX << endl;
742 cout <<
"maxX: " << maxX << endl;
743 cout <<
"minY: " << minY << endl;
744 cout <<
"maxY: " << maxY << endl;
747 if(src_min_opt.size()){
751 if(src_max_opt.size()){
756 nbin=(nbin_opt.size())? nbin_opt[0]:0;
758 std::cerr <<
"Warning: number of bins not defined, calculating bins from min and max value" << std::endl;
762 imgReader1.getMinMax(minX,maxX,band_opt[0]);
764 imgReader2.getMinMax(minY,maxY,band_opt[1]);
766 minValue=(minX<minY)? minX:minY;
767 maxValue=(maxX>maxY)? maxX:maxY;
769 std::cout <<
"min and max values: " << minValue <<
", " << maxValue << std::endl;
770 nbin=maxValue-minValue+1;
776 GDALProgressFunc pfnProgress;
778 GDALRasterBand* rasterBand;
781 rasterBand=imgReader1.getRasterBand(band_opt[0]);
782 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev1,pfnProgress,pProgressData);
783 rasterBand=imgReader2.getRasterBand(band_opt[0]);
784 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev2,pfnProgress,pProgressData);
787 double estimatedSize=1.0*imgReader.getNvalid(band_opt[0])/down_opt[0]/down_opt[0];
789 estimatedSize*=random_opt[0]/100.0;
790 sigma=1.06*sqrt(stdDev1*stdDev2)*pow(estimatedSize,-0.2);
795 std::cout <<
"calculating 2d kernel density estimate with sigma " << sigma <<
" for datasets " << input_opt[0] <<
" and " << input_opt[1] << std::endl;
797 std::cout <<
"calculating 2d histogram for datasets " << input_opt[0] <<
" and " << input_opt[1] << std::endl;
798 std::cout <<
"nbin: " << nbin << std::endl;
801 vector< vector<double> > output;
804 imgReader1.getMinMax(minX,maxX,band_opt[0]);
806 imgReader2.getMinMax(minY,maxY,band_opt[1]);
809 std::ostringstream s;
810 s<<
"Error: could not calculate distribution (minX>=maxX)";
814 std::ostringstream s;
815 s<<
"Error: could not calculate distribution (minY>=maxY)";
819 cout <<
"minX: " << minX << endl;
820 cout <<
"maxX: " << maxX << endl;
821 cout <<
"minY: " << minY << endl;
822 cout <<
"maxY: " << maxY << endl;
825 for(
int i=0;i<nbin;++i){
826 output[i].resize(nbin);
827 for(
int j=0;j<nbin;++j)
832 vector<double> inputX(imgReader1.nrOfCol());
833 vector<double> inputY(imgReader2.nrOfCol());
841 for(
int irow=0;irow<imgReader1.nrOfRow();++irow){
845 imgReader1.image2geo(icol1,irow1,geoX,geoY);
846 imgReader2.geo2image(geoX,geoY,icol2,irow2);
847 irow2=
static_cast<int>(irow2);
848 imgReader1.readData(inputX,GDT_Float64,irow1,band_opt[0]);
849 imgReader2.readData(inputY,GDT_Float64,irow2,band_opt[1]);
850 for(
int icol=0;icol<imgReader.nrOfCol();++icol){
855 double p=
static_cast<double>(rand())/(RAND_MAX);
860 if(imgReader1.isNoData(inputX[icol]))
862 imgReader1.image2geo(icol1,irow1,geoX,geoY);
863 imgReader2.geo2image(geoX,geoY,icol2,irow2);
864 icol2=
static_cast<int>(icol2);
865 if(imgReader2.isNoData(inputY[icol2]))
868 if(inputX[icol1]>=maxX)
870 else if(inputX[icol]<=minX)
873 binX=
static_cast<int>(
static_cast<double>(inputX[icol1]-minX)/(maxX-minX)*nbin);
874 if(inputY[icol2]>=maxY)
876 else if(inputY[icol2]<=minY)
879 binY=
static_cast<int>(
static_cast<double>(inputY[icol2]-minY)/(maxY-minY)*nbin);
881 assert(binX<output.size());
883 assert(binY<output[binX].size());
887 for(
int ibinX=0;ibinX<nbin;++ibinX){
888 double centerX=minX+
static_cast<double>(maxX-minX)*ibinX/nbin;
889 double pdfX=gsl_ran_gaussian_pdf(inputX[icol1]-centerX, sigma);
890 for(
int ibinY=0;ibinY<nbin;++ibinY){
892 double centerY=minY+
static_cast<double>(maxY-minY)*ibinY/nbin;
893 double pdfY=gsl_ran_gaussian_pdf(inputY[icol2]-centerY, sigma);
894 output[ibinX][binY]+=pdfX*pdfY;
900 ++output[binX][binY];
906 cout <<
"number of valid pixels: " << nvalid << endl;
907 for(
int binX=0;binX<nbin;++binX){
909 for(
int binY=0;binY<nbin;++binY){
911 if(nbin==maxX-minX+1)
914 binValueX=minX+
static_cast<double>(maxX-minX)*(binX+0.5)/nbin;
916 if(nbin==maxY-minY+1)
919 binValueY=minY+
static_cast<double>(maxY-minY)*(binY+0.5)/nbin;
920 double value=
static_cast<double>(output[binX][binY]);
922 if(relative_opt[0]||kde_opt[0])
925 cout << binValueX <<
" " << binValueY <<
" " << value << std::endl;
934 if(!histogram_opt[0]||histogram2d_opt[0])
935 std::cout << std::endl;