-ifilename, --inputfilename
name of the input raster dataset
-bband, --bandband
band(s) on which to calculate statistics
-f, --filename
Shows image filename
-stats, --statistics
Shows basic statistics (calculate in memory) (min,max, mean and stdDev of the raster datasets)
-fstats, --fstatistics
Shows basic statistics using GDAL computeStatistics (min,max, mean and stdDev of the raster
datasets)
-ulxvalue, --ulxvalue
Upper left x value bounding box
-ulyvalue, --ulyvalue
Upper left y value bounding box
-lrxvalue, --lrxvalue
Lower right x value bounding box
-lryvalue, --lryvalue
Lower right y value bounding box
-nodatavalue, --nodatavalue
Set nodata value(s)
-downvalue, --downvalue
Down sampling factor (for raster sample datasets only). Can be used to create grid points.
-rndnumber, --rndnumber
generate random numbers
-mean, --mean
calculate mean
-median, --median
calculate median
-var, --var
calculate variance
-skew, --skewness
calculate skewness
-kurt, --kurtosis
calculate kurtosis
-stdev, --stdev
calculate standard deviation
-sum, --sum
calculate sum of column
-mm, --minmax
calculate minimum and maximum value
-min, --min
calculate minimum value
-max, --max
calculate maximum value
-src_minvalue, --src_minvalue
start reading source from this minimum value
-src_maxvalue, --src_maxvalue
stop reading source from this maximum value
-hist, --hist
calculate histogram
-hist2d, --hist2d-nbinvalue, --nbinvalue
number of bins to calculate histogram
-rel, --relative
use percentiles for histogram to calculate histogram
-kde, --kde
Use Kernel density estimation when producing histogram. The standard deviation is estimated based
on Silverman's rule of thumb.
-cor, --correlation
calculate Pearson produc-moment correlation coefficient between two raster datasets (defined by -ccol1-ccol2)
-rmse, --rmse
calculate root mean square error between two raster datasets
-reg, --regression
calculate linear regression between two raster datasets and get correlation coefficient
-regerr, --regerr
calculate linear regression between two raster datasets and get root mean square error
-preg, --preg
calculate perpendicular regression between two raster datasets and get correlation coefficient
-pregerr, --pregerr
calculate perpendicular regression between two raster datasets and get root mean square error
-vlevel, --verboselevel
verbose mode when positive
01 January 2025 pkstat(1)