pkstat1

Usage

Overview

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

Options

FC-iF[0] filename, FC--inputF[0] filename

name of the input raster dataset

FC-bF[0] band, FC--bandF[0] band

band(s) on which to calculate statistics

FC-fF[0], FC--filenameF[0]

Shows image filename

FC-statsF[0], FC--statisticsF[0]

Shows basic statistics (calculate in memory) (min,max, mean and stdDev of the raster datasets)

FC-fstatsF[0], FC--fstatisticsF[0]

Shows basic statistics using GDAL computeStatistics (min,max, mean and stdDev of the raster datasets)

FC-ulxF[0] value, FC--ulxF[0] value

Upper left x value bounding box

FC-ulyF[0] value, FC--ulyF[0] value

Upper left y value bounding box

FC-lrxF[0] value, FC--lrxF[0] value

Lower right x value bounding box

FC-lryF[0] value, FC--lryF[0] value

Lower right y value bounding box

FC-nodataF[0] value, FC--nodataF[0] value

Set nodata value(s)

FC-downF[0] value, FC--downF[0] value

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

FC-rndF[0] number, FC--rndF[0] number

generate random numbers

FC-meanF[0], FC--meanF[0]

calculate mean

FC-medianF[0], FC--medianF[0]

calculate median

FC-varF[0], FC--varF[0]

calculate variance

FC-skewF[0], FC--skewnessF[0]

calculate skewness

FC-kurtF[0], FC--kurtosisF[0]

calculate kurtosis

FC-stdevF[0], FC--stdevF[0]

calculate standard deviation

FC-sumF[0], FC--sumF[0]

calculate sum of column

FC-mmF[0], FC--minmaxF[0]

calculate minimum and maximum value

FC-minF[0], FC--minF[0]

calculate minimum value

FC-maxF[0], FC--maxF[0]

calculate maximum value

FC-src_minF[0] value, FC--src_minF[0] value

start reading source from this minimum value

FC-src_maxF[0] value, FC--src_maxF[0] value

stop reading source from this maximum value

FC-histF[0], FC--histF[0]

calculate histogram

FC-hist2dF[0], FC--hist2dF[0]

FC-nbinF[0] value, FC--nbinF[0] value

number of bins to calculate histogram

FC-relF[0], FC--relativeF[0]

use percentiles for histogram to calculate histogram

FC-kdeF[0], FC--kdeF[0]

Use Kernel density estimation when producing histogram. The standard deviation is estimated based on Silverman's rule of thumb.

FC-corF[0], FC--correlationF[0]

calculate Pearson produc-moment correlation coefficient between two raster datasets (defined by FC-cF[0] col1 FC-cF[0] col2)

FC-rmseF[0], FC--rmseF[0]

calculate root mean square error between two raster datasets

FC-regF[0], FC--regressionF[0]

calculate linear regression between two raster datasets and get correlation coefficient

FC-regerrF[0], FC--regerrF[0]

calculate linear regression between two raster datasets and get root mean square error

FC-pregF[0], FC--pregF[0]

calculate perpendicular regression between two raster datasets and get correlation coefficient

FC-pregerrF[0], FC--pregerrF[0]

calculate perpendicular regression between two raster datasets and get root mean square error

FC-vF[0] level, FC--verboseF[0] level

verbose mode when positive