pktools
2.6.7
Processing Kernel for geospatial data

program to calculate basic statistics from raster dataset
Usage: pkstat i input
short
or long
options (both long=value
and long value
are supported)h
shows basic options only, long option help
shows all options short  long  type  default  description 

i  input  std::string  name of the input raster dataset  
b  band  unsigned short  0  band(s) on which to calculate statistics 
f  filename  bool  false  Shows image filename 
stats  statistics  bool  false  Shows basic statistics (min,max, mean and stdDev of the raster datasets) 
nodata  nodata  double  Set nodata value(s)  
mean  mean  bool  false  calculate mean 
median  median  bool  false  calculate median 
var  var  bool  false  calculate variance 
stdev  stdev  bool  false  calculate standard deviation 
mm  minmax  bool  false  calculate minimum and maximum value 
min  min  bool  false  calculate minimum value 
max  max  bool  false  calculate maximum value 
hist  hist  bool  false  calculate histogram 
nbin  nbin  short  number of bins to calculate histogram  
rel  relative  bool  false  use percentiles for histogram to calculate histogram 
hist2d  hist2d  bool  false  calculate 2dimensional histogram based on two images 
cor  correlation  bool  false  calculate Pearson producmoment correlation coefficient between two raster datasets (defined by c <col1> c <col2>) 
rmse  rmse  bool  false  calculate root mean square error between two raster datasets 
reg  regression  bool  false  calculate linear regression between two raster datasets and get correlation coefficient 
regerr  regerr  bool  false  calculate linear regression between two raster datasets and get root mean square error 
preg  preg  bool  false  calculate perpendicular regression between two raster datasets and get correlation coefficient 
ulx  ulx  double  Upper left x value bounding box  
uly  uly  double  Upper left y value bounding box  
lrx  lrx  double  Lower right x value bounding box  
lry  lry  double  Lower right y value bounding box  
down  down  short  1  Down sampling factor (for raster sample datasets only). Can be used to create grid points 
rnd  rnd  unsigned int  0  generate random numbers 
scale  scale  double  Scale(s) for reading input image(s)  
offset  offset  double  Offset(s) for reading input image(s)  
src_min  src_min  double  start reading source from this minimum value  
src_max  src_max  double  stop reading source from this maximum value  
kde  kde  bool  false  Use Kernel density estimation when producing histogram. The standard deviation is estimated based on Silverman's rule of thumb 