pkstat

program to calculate basic statistics from raster dataset

SYNOPSIS

Usage: pkstat -i input

Options

• use either -short or --long options (both --long=value and --long value are supported)
• short option -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 2-dimensional histogram based on two images
  cor	correlation	bool	false	calculate Pearson produc-moment 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

  Usage: pkstat -i input