Calculates extended statistics on raster layers, displays results in a table, generates histograms, and allows exporting to TXT/CSV and PNG/SVG, providing advanced raster analysis with integrated visualization tools.
Raster-derived statistics describe both the spatial structure and the distribution of pixel values. The Cell size X and Cell size Y parameters indicate pixel dimensions in both directions of the reference system, defining the dataset's spatial resolution. Min and Max represent the lowest and highest values in the raster, while the Range expresses the total span as the difference between them. The Mean provides a central measure of the distribution, complemented by Variance and Stddev (standard deviation), which quantify data dispersion. The Median represents the central value and is less sensitive to outliers, while the p5, p25, p75, and p95 percentiles identify key distribution thresholds, useful for detecting extreme values or data concentration. The IQR (Interquartile Range), calculated as p75 − p25, measures 'robust' variability by ignoring extremes. Shape indices like Skewness and Kurtosis describe asymmetry and the 'peakedness' of the distribution, highlighting anomalous tails or peaks. Finally, the Coeff_var (coefficient of variation) expresses relative variability by relating the standard deviation to the mean, making it ideal for comparing rasters with different scales.
Plugin Tags