SYNOPSIS

pkstat [options]

DESCRIPTION

pkstat is utility to calculate basic statistics from a raster dataset.

OPTIONS

-i filename, --input filename

name of the input raster dataset

-b band, --band band

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)

-ulx value, --ulx value

Upper left x value bounding box

-uly value, --uly value

Upper left y value bounding box

-lrx value, --lrx value

Lower right x value bounding box

-lry value, --lry value

Lower right y value bounding box

-nodata value, --nodata value

Set nodata value(s)

-down value, --down value

Down sampling factor (for raster sample datasets only). Can be used to create grid points.

-rnd number, --rnd number

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_min value, --src_min value

start reading source from this minimum value

-src_max value, --src_max value

stop reading source from this maximum value

-hist, --hist

calculate histogram

-hist2d, --hist2d

-nbin value, --nbin value

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 -c col1 -c col2)

-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

-v level, --verbose level

verbose mode when positive