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 (calculate in memory) (min,max, mean and stdDev of the raster datasets)",
false);
86 Optionpk<bool> fstat_opt(
"fstats",
"fstatistics",
"Shows basic statistics using GDAL computeStatistics (min,max, mean and stdDev of the raster datasets)",
false);
92 Optionpk<short> down_opt(
"down",
"down",
"Down sampling factor (for raster sample datasets only). Can be used to create grid points", 1);
94 Optionpk<double> scale_opt(
"scale",
"scale",
"Scale(s) for reading input image(s)");
95 Optionpk<double> offset_opt(
"offset",
"offset",
"Offset(s) for reading input image(s)");
102 Optionpk<bool> median_opt(
"median",
"median",
"calculate median",
false);
104 Optionpk<bool> skewness_opt(
"skew",
"skewness",
"calculate skewness",
false);
105 Optionpk<bool> kurtosis_opt(
"kurt",
"kurtosis",
"calculate kurtosis",
false);
106 Optionpk<bool> stdev_opt(
"stdev",
"stdev",
"calculate standard deviation",
false);
107 Optionpk<bool> sum_opt(
"sum",
"sum",
"calculate sum of column",
false);
108 Optionpk<bool> minmax_opt(
"mm",
"minmax",
"calculate minimum and maximum value",
false);
109 Optionpk<bool> min_opt(
"min",
"min",
"calculate minimum value",
false);
110 Optionpk<bool> max_opt(
"max",
"max",
"calculate maximum value",
false);
111 Optionpk<double> src_min_opt(
"src_min",
"src_min",
"start reading source from this minimum value");
112 Optionpk<double> src_max_opt(
"src_max",
"src_max",
"stop reading source from this maximum value");
113 Optionpk<bool> histogram_opt(
"hist",
"hist",
"calculate histogram",
false);
114 Optionpk<bool> histogram2d_opt(
"hist2d",
"hist2d",
"calculate 2-dimensional histogram based on two images",
false);
115 Optionpk<short> nbin_opt(
"nbin",
"nbin",
"number of bins to calculate histogram");
116 Optionpk<bool> relative_opt(
"rel",
"relative",
"use percentiles for histogram to calculate histogram",
false);
117 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);
118 Optionpk<bool> rmse_opt(
"rmse",
"rmse",
"calculate root mean square error between two raster datasets",
false);
119 Optionpk<bool> reg_opt(
"reg",
"regression",
"calculate linear regression between two raster datasets and get correlation coefficient",
false);
120 Optionpk<bool> regerr_opt(
"regerr",
"regerr",
"calculate linear regression between two raster datasets and get root mean square error",
false);
121 Optionpk<bool> preg_opt(
"preg",
"preg",
"calculate perpendicular regression between two raster datasets and get correlation coefficient",
false);
122 Optionpk<short> verbose_opt(
"v",
"verbose",
"verbose mode when positive", 0,2);
123 fstat_opt.setHide(1);
129 random_opt.setHide(1);
130 scale_opt.setHide(1);
131 offset_opt.setHide(1);
132 src_min_opt.setHide(1);
133 src_max_opt.setHide(1);
142 doProcess=input_opt.retrieveOption(argc,argv);
144 band_opt.retrieveOption(argc,argv);
145 filename_opt.retrieveOption(argc,argv);
146 stat_opt.retrieveOption(argc,argv);
147 fstat_opt.retrieveOption(argc,argv);
148 nodata_opt.retrieveOption(argc,argv);
149 mean_opt.retrieveOption(argc,argv);
150 median_opt.retrieveOption(argc,argv);
151 var_opt.retrieveOption(argc,argv);
152 stdev_opt.retrieveOption(argc,argv);
153 minmax_opt.retrieveOption(argc,argv);
154 min_opt.retrieveOption(argc,argv);
155 max_opt.retrieveOption(argc,argv);
156 histogram_opt.retrieveOption(argc,argv);
157 nbin_opt.retrieveOption(argc,argv);
158 relative_opt.retrieveOption(argc,argv);
159 histogram2d_opt.retrieveOption(argc,argv);
160 rmse_opt.retrieveOption(argc,argv);
161 reg_opt.retrieveOption(argc,argv);
162 regerr_opt.retrieveOption(argc,argv);
163 preg_opt.retrieveOption(argc,argv);
165 ulx_opt.retrieveOption(argc,argv);
166 uly_opt.retrieveOption(argc,argv);
167 lrx_opt.retrieveOption(argc,argv);
168 lry_opt.retrieveOption(argc,argv);
169 down_opt.retrieveOption(argc,argv);
170 random_opt.retrieveOption(argc,argv);
171 scale_opt.retrieveOption(argc,argv);
172 offset_opt.retrieveOption(argc,argv);
173 src_min_opt.retrieveOption(argc,argv);
174 src_max_opt.retrieveOption(argc,argv);
175 kde_opt.retrieveOption(argc,argv);
176 verbose_opt.retrieveOption(argc,argv);
178 catch(
string predefinedString){
179 std::cout << predefinedString << std::endl;
184 cout <<
"Usage: pkstat -i input" << endl;
186 std::cout <<
"short option -h shows basic options only, use long option --help to show all options" << std::endl;
190 if(src_min_opt.size()){
191 while(src_min_opt.size()<band_opt.size())
192 src_min_opt.push_back(src_min_opt[0]);
194 if(src_max_opt.size()){
195 while(src_max_opt.size()<band_opt.size())
196 src_max_opt.push_back(src_max_opt[0]);
207 double medianValue=0;
210 const char* pszMessage;
211 void* pProgressArg=NULL;
212 GDALProgressFunc pfnProgress=GDALTermProgress;
218 std::vector<double> histogramOutput;
223 if(scale_opt.size()){
224 while(scale_opt.size()<input_opt.size())
225 scale_opt.push_back(scale_opt[0]);
227 if(offset_opt.size()){
228 while(offset_opt.size()<input_opt.size())
229 offset_opt.push_back(offset_opt[0]);
231 if(input_opt.empty()){
232 std::cerr <<
"No image dataset provided (use option -i). Use --help for help information";
235 for(
int ifile=0;ifile<input_opt.size();++ifile){
237 imgReader.open(input_opt[ifile]);
239 catch(std::string errorstring){
240 std::cout << errorstring << std::endl;
245 std::cout <<
" --input " << input_opt[ifile] <<
" ";
247 for(
int inodata=0;inodata<nodata_opt.size();++inodata)
248 imgReader.pushNoDataValue(nodata_opt[inodata]);
250 int nband=band_opt.size();
251 for(
int iband=0;iband<nband;++iband){
253 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
255 imgReader.GDALSetNoDataValue(nodata_opt[0],band_opt[iband]);
258 if(offset_opt.size()>ifile)
259 imgReader.setOffset(offset_opt[ifile],band_opt[iband]);
260 if(scale_opt.size()>ifile)
261 imgReader.setScale(scale_opt[ifile],band_opt[iband]);
263 if(stat_opt[0]||mean_opt[0]||median_opt[0]||var_opt[0]||stdev_opt[0]){
266 vector<double> readBuffer;
268 imgReader.readDataBlock(readBuffer, GDT_Float64, 0, imgReader.nrOfCol()-1, 0, imgReader.nrOfRow()-1, band_opt[0]);
269 stat.setNoDataValues(nodata_opt);
270 stat.meanVar(readBuffer,meanValue,varValue);
271 medianValue=stat.median(readBuffer);
272 stat.minmax(readBuffer,readBuffer.begin(),readBuffer.end(),minValue,maxValue);
274 std::cout <<
"--mean " << meanValue <<
" ";
276 std::cout <<
"--median " << medianValue <<
" ";
278 std::cout <<
"--stdDev " << sqrt(varValue) <<
" ";
280 std::cout <<
"--var " << varValue <<
" ";
282 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" --mean " << meanValue <<
" --stdDev " << sqrt(varValue) <<
" ";
286 assert(band_opt[iband]<imgReader.nrOfBand());
287 GDALProgressFunc pfnProgress;
289 GDALRasterBand* rasterBand;
290 rasterBand=imgReader.getRasterBand(band_opt[iband]);
291 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev,pfnProgress,pProgressData);
293 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" --mean " << meanValue <<
" --stdDev " << stdDev <<
" ";
296 if(minmax_opt[0]||min_opt[0]||max_opt[0]){
297 assert(band_opt[iband]<imgReader.nrOfBand());
299 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]))){
300 double uli,ulj,lri,lrj;
301 imgReader.geo2image(ulx_opt[0],uly_opt[0],uli,ulj);
302 imgReader.geo2image(lrx_opt[0],lry_opt[0],lri,lrj);
303 imgReader.getMinMax(static_cast<int>(uli),static_cast<int>(lri),static_cast<int>(ulj),static_cast<int>(lrj),band_opt[iband],minValue,maxValue);
306 imgReader.getMinMax(minValue,maxValue,band_opt[iband],
true);
309 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" ";
312 std::cout <<
"-min " << minValue <<
" ";
314 std::cout <<
"-max " << maxValue <<
" ";
318 if(histogram_opt[0]){
319 assert(band_opt[0]<imgReader.nrOfBand());
320 nbin=(nbin_opt.size())? nbin_opt[0]:0;
322 imgReader.getMinMax(minValue,maxValue,band_opt[0]);
323 if(src_min_opt.size())
324 minValue=src_min_opt[0];
325 if(src_max_opt.size())
326 maxValue=src_max_opt[0];
327 if(minValue>=maxValue)
328 imgReader.getMinMax(minValue,maxValue,band_opt[0]);
331 cout <<
"number of valid pixels in image: " << imgReader.getNvalid(band_opt[0]) << endl;
333 nsample+=imgReader.getHistogram(histogramOutput,minValue,maxValue,nbin,band_opt[0],kde_opt[0]);
336 if(ifile==input_opt.size()-1){
337 std::cout.precision(10);
338 for(
int bin=0;bin<nbin;++bin){
340 if(nbin==maxValue-minValue+1)
341 binValue=minValue+bin;
343 binValue=minValue+
static_cast<double>(maxValue-minValue)*(bin+0.5)/nbin;
344 std::cout << binValue <<
" ";
345 if(relative_opt[0]||kde_opt[0])
346 std::cout << 100.0*
static_cast<double>(histogramOutput[bin])/static_cast<double>(nsample) << std::endl;
348 std::cout << static_cast<double>(histogramOutput[bin]) << std::endl;
352 if(histogram2d_opt[0]&&input_opt.size()<2){
353 assert(band_opt.size()>1);
354 imgReader.getMinMax(minX,maxX,band_opt[0]);
355 imgReader.getMinMax(minY,maxY,band_opt[1]);
356 if(src_min_opt.size()){
360 if(src_max_opt.size()){
364 nbin=(nbin_opt.size())? nbin_opt[0]:0;
366 std::cerr <<
"Warning: number of bins not defined, calculating bins from min and max value" << std::endl;
368 imgReader.getMinMax(minX,maxX,band_opt[0]);
370 imgReader.getMinMax(minY,maxY,band_opt[1]);
372 minValue=(minX<minY)? minX:minY;
373 maxValue=(maxX>maxY)? maxX:maxY;
375 std::cout <<
"min and max values: " << minValue <<
", " << maxValue << std::endl;
376 nbin=maxValue-minValue+1;
382 assert(band_opt[0]<imgReader.nrOfBand());
383 assert(band_opt[1]<imgReader.nrOfBand());
384 GDALProgressFunc pfnProgress;
386 GDALRasterBand* rasterBand;
389 rasterBand=imgReader.getRasterBand(band_opt[0]);
390 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev1,pfnProgress,pProgressData);
391 rasterBand=imgReader.getRasterBand(band_opt[1]);
392 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev2,pfnProgress,pProgressData);
394 double estimatedSize=1.0*imgReader.getNvalid(band_opt[0])/down_opt[0]/down_opt[0];
396 estimatedSize*=random_opt[0]/100.0;
397 sigma=1.06*sqrt(stdDev1*stdDev2)*pow(estimatedSize,-0.2);
402 std::cout <<
"calculating 2d kernel density estimate with sigma " << sigma <<
" for bands " << band_opt[0] <<
" and " << band_opt[1] << std::endl;
404 std::cout <<
"calculating 2d histogram for bands " << band_opt[0] <<
" and " << band_opt[1] << std::endl;
405 std::cout <<
"nbin: " << nbin << std::endl;
409 vector< vector<double> > output;
412 imgReader.getMinMax(minX,maxX,band_opt[0]);
414 imgReader.getMinMax(minY,maxY,band_opt[1]);
417 std::ostringstream s;
418 s<<
"Error: could not calculate distribution (minX>=maxX)";
422 std::ostringstream s;
423 s<<
"Error: could not calculate distribution (minY>=maxY)";
427 for(
int i=0;i<nbin;++i){
428 output[i].resize(nbin);
429 for(
int j=0;j<nbin;++j)
434 vector<double> inputX(imgReader.nrOfCol());
435 vector<double> inputY(imgReader.nrOfCol());
436 unsigned long int nvalid=0;
437 for(
int irow=0;irow<imgReader.nrOfRow();++irow){
440 imgReader.readData(inputX,GDT_Float64,irow,band_opt[0]);
441 imgReader.readData(inputY,GDT_Float64,irow,band_opt[1]);
442 for(
int icol=0;icol<imgReader.nrOfCol();++icol){
446 double p=
static_cast<double>(rand())/(RAND_MAX);
451 if(imgReader.isNoData(inputX[icol]))
453 if(imgReader.isNoData(inputY[icol]))
456 if(inputX[icol]>=maxX)
458 else if(inputX[icol]<=minX)
461 binX=
static_cast<int>(
static_cast<double>(inputX[icol]-minX)/(maxX-minX)*nbin);
462 if(inputY[icol]>=maxY)
464 else if(inputY[icol]<=minX)
467 binY=
static_cast<int>(
static_cast<double>(inputY[icol]-minY)/(maxY-minY)*nbin);
469 assert(binX<output.size());
471 assert(binY<output[binX].size());
475 for(
int ibinX=0;ibinX<nbin;++ibinX){
476 double centerX=minX+
static_cast<double>(maxX-minX)*ibinX/nbin;
477 double pdfX=gsl_ran_gaussian_pdf(inputX[icol]-centerX, sigma);
478 for(
int ibinY=0;ibinY<nbin;++ibinY){
480 double centerY=minY+
static_cast<double>(maxY-minY)*ibinY/nbin;
481 double pdfY=gsl_ran_gaussian_pdf(inputY[icol]-centerY, sigma);
482 output[ibinX][binY]+=pdfX*pdfY;
487 ++output[binX][binY];
491 cout <<
"number of valid pixels: " << nvalid << endl;
493 for(
int binX=0;binX<nbin;++binX){
495 for(
int binY=0;binY<nbin;++binY){
497 if(nbin==maxX-minX+1)
500 binValueX=minX+
static_cast<double>(maxX-minX)*(binX+0.5)/nbin;
502 if(nbin==maxY-minY+1)
505 binValueY=minY+
static_cast<double>(maxY-minY)*(binY+0.5)/nbin;
507 double value=
static_cast<double>(output[binX][binY]);
512 cout << binValueX <<
" " << binValueY <<
" " << value << std::endl;
518 if(reg_opt[0]&&input_opt.size()<2){
519 if(band_opt.size()<2)
521 imgreg.setDown(down_opt[0]);
522 imgreg.setThreshold(random_opt[0]);
525 double r2=imgreg.getR2(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
526 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
528 if(regerr_opt[0]&&input_opt.size()<2){
529 if(band_opt.size()<2)
531 imgreg.setDown(down_opt[0]);
532 imgreg.setThreshold(random_opt[0]);
535 double err=imgreg.getRMSE(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
536 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -rmse " << err << std::endl;
538 if(rmse_opt[0]&&input_opt.size()<2){
539 if(band_opt.size()<2)
541 imgreg.setDown(down_opt[0]);
542 imgreg.setThreshold(random_opt[0]);
545 double err=imgreg.getRMSE(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
546 std::cout <<
" -rmse " << err << std::endl;
548 if(preg_opt[0]&&input_opt.size()<2){
549 if(band_opt.size()<2)
551 imgreg.setDown(down_opt[0]);
552 imgreg.setThreshold(random_opt[0]);
555 double r2=imgreg.pgetR2(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
556 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
560 if(reg_opt[0]&&(input_opt.size()>1)){
561 imgreg.setDown(down_opt[0]);
562 imgreg.setThreshold(random_opt[0]);
565 while(band_opt.size()<input_opt.size())
566 band_opt.push_back(band_opt[0]);
567 if(src_min_opt.size()){
568 while(src_min_opt.size()<input_opt.size())
569 src_min_opt.push_back(src_min_opt[0]);
571 if(src_max_opt.size()){
572 while(src_max_opt.size()<input_opt.size())
573 src_max_opt.push_back(src_max_opt[0]);
578 if(offset_opt.size())
579 imgReader1.setOffset(offset_opt[0],band_opt[0]);
581 imgReader1.setScale(scale_opt[0],band_opt[0]);
582 if(offset_opt.size()>1)
583 imgReader2.setOffset(offset_opt[1],band_opt[1]);
584 if(scale_opt.size()>1)
585 imgReader2.setScale(scale_opt[1],band_opt[1]);
587 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
589 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
590 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
592 imgReader1.pushNoDataValue(nodata_opt[inodata]);
593 imgReader2.pushNoDataValue(nodata_opt[inodata]);
596 double r2=imgreg.getR2(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
597 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
601 if(preg_opt[0]&&(input_opt.size()>1)){
602 imgreg.setDown(down_opt[0]);
603 imgreg.setThreshold(random_opt[0]);
606 while(band_opt.size()<input_opt.size())
607 band_opt.push_back(band_opt[0]);
608 if(src_min_opt.size()){
609 while(src_min_opt.size()<input_opt.size())
610 src_min_opt.push_back(src_min_opt[0]);
612 if(src_max_opt.size()){
613 while(src_max_opt.size()<input_opt.size())
614 src_max_opt.push_back(src_max_opt[0]);
619 if(offset_opt.size())
620 imgReader1.setOffset(offset_opt[0],band_opt[0]);
622 imgReader1.setScale(scale_opt[0],band_opt[0]);
623 if(offset_opt.size()>1)
624 imgReader2.setOffset(offset_opt[1],band_opt[1]);
625 if(scale_opt.size()>1)
626 imgReader2.setScale(scale_opt[1],band_opt[1]);
628 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
630 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
631 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
633 imgReader1.pushNoDataValue(nodata_opt[inodata]);
634 imgReader2.pushNoDataValue(nodata_opt[inodata]);
637 double r2=imgreg.pgetR2(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
638 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
642 if(regerr_opt[0]&&(input_opt.size()>1)){
643 imgreg.setDown(down_opt[0]);
644 imgreg.setThreshold(random_opt[0]);
647 while(band_opt.size()<input_opt.size())
648 band_opt.push_back(band_opt[0]);
649 if(src_min_opt.size()){
650 while(src_min_opt.size()<input_opt.size())
651 src_min_opt.push_back(src_min_opt[0]);
653 if(src_max_opt.size()){
654 while(src_max_opt.size()<input_opt.size())
655 src_max_opt.push_back(src_max_opt[0]);
660 if(offset_opt.size())
661 imgReader1.setOffset(offset_opt[0],band_opt[0]);
663 imgReader1.setScale(scale_opt[0],band_opt[0]);
664 if(offset_opt.size()>1)
665 imgReader2.setOffset(offset_opt[1],band_opt[1]);
666 if(scale_opt.size()>1)
667 imgReader2.setScale(scale_opt[1],band_opt[1]);
669 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
671 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
672 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
674 imgReader1.pushNoDataValue(nodata_opt[inodata]);
675 imgReader2.pushNoDataValue(nodata_opt[inodata]);
678 double err=imgreg.getRMSE(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
679 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -rmse " << err << std::endl;
683 if(rmse_opt[0]&&(input_opt.size()>1)){
684 imgreg.setDown(down_opt[0]);
685 imgreg.setThreshold(random_opt[0]);
688 while(band_opt.size()<input_opt.size())
689 band_opt.push_back(band_opt[0]);
690 if(src_min_opt.size()){
691 while(src_min_opt.size()<input_opt.size())
692 src_min_opt.push_back(src_min_opt[0]);
694 if(src_max_opt.size()){
695 while(src_max_opt.size()<input_opt.size())
696 src_max_opt.push_back(src_max_opt[0]);
701 if(offset_opt.size())
702 imgReader1.setOffset(offset_opt[0],band_opt[0]);
704 imgReader1.setScale(scale_opt[0],band_opt[0]);
705 if(offset_opt.size()>1)
706 imgReader2.setOffset(offset_opt[1],band_opt[1]);
707 if(scale_opt.size()>1)
708 imgReader2.setScale(scale_opt[1],band_opt[1]);
710 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
712 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
713 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
715 imgReader1.pushNoDataValue(nodata_opt[inodata]);
716 imgReader2.pushNoDataValue(nodata_opt[inodata]);
719 double err=imgreg.getRMSE(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
720 std::cout <<
"-rmse " << err << std::endl;
724 if(histogram2d_opt[0]&&(input_opt.size()>1)){
725 while(band_opt.size()<input_opt.size())
726 band_opt.push_back(band_opt[0]);
727 if(src_min_opt.size()){
728 while(src_min_opt.size()<input_opt.size())
729 src_min_opt.push_back(src_min_opt[0]);
731 if(src_max_opt.size()){
732 while(src_max_opt.size()<input_opt.size())
733 src_max_opt.push_back(src_max_opt[0]);
738 if(offset_opt.size())
739 imgReader1.setOffset(offset_opt[0],band_opt[0]);
741 imgReader1.setScale(scale_opt[0],band_opt[0]);
742 if(offset_opt.size()>1)
743 imgReader2.setOffset(offset_opt[1],band_opt[1]);
744 if(scale_opt.size()>1)
745 imgReader2.setScale(scale_opt[1],band_opt[1]);
747 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
749 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
750 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
752 imgReader1.pushNoDataValue(nodata_opt[inodata]);
753 imgReader2.pushNoDataValue(nodata_opt[inodata]);
756 imgReader1.getMinMax(minX,maxX,band_opt[0]);
757 imgReader2.getMinMax(minY,maxY,band_opt[1]);
760 cout <<
"minX: " << minX << endl;
761 cout <<
"maxX: " << maxX << endl;
762 cout <<
"minY: " << minY << endl;
763 cout <<
"maxY: " << maxY << endl;
766 if(src_min_opt.size()){
770 if(src_max_opt.size()){
775 nbin=(nbin_opt.size())? nbin_opt[0]:0;
777 std::cerr <<
"Warning: number of bins not defined, calculating bins from min and max value" << std::endl;
781 imgReader1.getMinMax(minX,maxX,band_opt[0]);
783 imgReader2.getMinMax(minY,maxY,band_opt[1]);
785 minValue=(minX<minY)? minX:minY;
786 maxValue=(maxX>maxY)? maxX:maxY;
788 std::cout <<
"min and max values: " << minValue <<
", " << maxValue << std::endl;
789 nbin=maxValue-minValue+1;
795 GDALProgressFunc pfnProgress;
797 GDALRasterBand* rasterBand;
800 rasterBand=imgReader1.getRasterBand(band_opt[0]);
801 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev1,pfnProgress,pProgressData);
802 rasterBand=imgReader2.getRasterBand(band_opt[0]);
803 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev2,pfnProgress,pProgressData);
806 double estimatedSize=1.0*imgReader.getNvalid(band_opt[0])/down_opt[0]/down_opt[0];
808 estimatedSize*=random_opt[0]/100.0;
809 sigma=1.06*sqrt(stdDev1*stdDev2)*pow(estimatedSize,-0.2);
814 std::cout <<
"calculating 2d kernel density estimate with sigma " << sigma <<
" for datasets " << input_opt[0] <<
" and " << input_opt[1] << std::endl;
816 std::cout <<
"calculating 2d histogram for datasets " << input_opt[0] <<
" and " << input_opt[1] << std::endl;
817 std::cout <<
"nbin: " << nbin << std::endl;
820 vector< vector<double> > output;
823 imgReader1.getMinMax(minX,maxX,band_opt[0]);
825 imgReader2.getMinMax(minY,maxY,band_opt[1]);
828 std::ostringstream s;
829 s<<
"Error: could not calculate distribution (minX>=maxX)";
833 std::ostringstream s;
834 s<<
"Error: could not calculate distribution (minY>=maxY)";
838 cout <<
"minX: " << minX << endl;
839 cout <<
"maxX: " << maxX << endl;
840 cout <<
"minY: " << minY << endl;
841 cout <<
"maxY: " << maxY << endl;
844 for(
int i=0;i<nbin;++i){
845 output[i].resize(nbin);
846 for(
int j=0;j<nbin;++j)
851 vector<double> inputX(imgReader1.nrOfCol());
852 vector<double> inputY(imgReader2.nrOfCol());
860 for(
int irow=0;irow<imgReader1.nrOfRow();++irow){
864 imgReader1.image2geo(icol1,irow1,geoX,geoY);
865 imgReader2.geo2image(geoX,geoY,icol2,irow2);
866 irow2=
static_cast<int>(irow2);
867 imgReader1.readData(inputX,GDT_Float64,irow1,band_opt[0]);
868 imgReader2.readData(inputY,GDT_Float64,irow2,band_opt[1]);
869 for(
int icol=0;icol<imgReader.nrOfCol();++icol){
874 double p=
static_cast<double>(rand())/(RAND_MAX);
879 if(imgReader1.isNoData(inputX[icol]))
881 imgReader1.image2geo(icol1,irow1,geoX,geoY);
882 imgReader2.geo2image(geoX,geoY,icol2,irow2);
883 icol2=
static_cast<int>(icol2);
884 if(imgReader2.isNoData(inputY[icol2]))
887 if(inputX[icol1]>=maxX)
889 else if(inputX[icol]<=minX)
892 binX=
static_cast<int>(
static_cast<double>(inputX[icol1]-minX)/(maxX-minX)*nbin);
893 if(inputY[icol2]>=maxY)
895 else if(inputY[icol2]<=minY)
898 binY=
static_cast<int>(
static_cast<double>(inputY[icol2]-minY)/(maxY-minY)*nbin);
900 assert(binX<output.size());
902 assert(binY<output[binX].size());
906 for(
int ibinX=0;ibinX<nbin;++ibinX){
907 double centerX=minX+
static_cast<double>(maxX-minX)*ibinX/nbin;
908 double pdfX=gsl_ran_gaussian_pdf(inputX[icol1]-centerX, sigma);
909 for(
int ibinY=0;ibinY<nbin;++ibinY){
911 double centerY=minY+
static_cast<double>(maxY-minY)*ibinY/nbin;
912 double pdfY=gsl_ran_gaussian_pdf(inputY[icol2]-centerY, sigma);
913 output[ibinX][binY]+=pdfX*pdfY;
919 ++output[binX][binY];
925 cout <<
"number of valid pixels: " << nvalid << endl;
926 for(
int binX=0;binX<nbin;++binX){
928 for(
int binY=0;binY<nbin;++binY){
930 if(nbin==maxX-minX+1)
933 binValueX=minX+
static_cast<double>(maxX-minX)*(binX+0.5)/nbin;
935 if(nbin==maxY-minY+1)
938 binValueY=minY+
static_cast<double>(maxY-minY)*(binY+0.5)/nbin;
939 double value=
static_cast<double>(output[binX][binY]);
941 if(relative_opt[0]||kde_opt[0])
944 cout << binValueX <<
" " << binValueY <<
" " << value << std::endl;
953 if(!histogram_opt[0]||histogram2d_opt[0])
954 std::cout << std::endl;