Topic: raster
Tool | Description |
---|---|
d.colortable | Displays the color table associated with a raster map layer. |
See also the corresponding keyword for additional references:
raster
- 3D visualization - wxGUI 3D View Mode
- Computes the residual energy potential of different renewable energies - Computes the residual energy potential of different renewable energies like biomass or hydropower
- Raster digitizer - wxGUI Raster Digitizer
- Toolset for Computing the Energy Potential of Biomass - Toolset for computing the energy potential of biomass from the forestry residues, considering different limits and constraints
- Toolset for Computing the Ground Source Heat Pump - Toolset for computing the Ground Source Heat Pump
- Toolset for multiscale analysis of landscape patch structure - Toolset for multiscale analysis of landscape patch structure
- d.colortable - Displays the color table associated with a raster map layer.
- d.correlate - Prints a graph of the correlation between raster maps (in pairs).
- d.explanation.plot - Draw a plot of multiple rasters to explain a raster operation for example a + b = c
- d.profile - Plots profile of a transect.
- d.rast - Displays user-specified raster map in the active graphics frame.
- d.rast.arrow - Draws arrows representing cell aspect direction for a raster map containing aspect data.
- d.rast.edit - Edits cell values in a raster map.
- d.rast.num - Overlays cell category values on a raster map displayed in the active graphics frame.
- d.rgb - Displays three user-specified raster maps as red, green, and blue overlays in the active graphics frame.
- d.to.rast - Saves the contents of the active display monitor to a raster map.
- g.gui.rdigit - wxGUI Raster Digitizer
- g.gui.rlisetup - wxGUI RLi Setup
- i.ann.maskrcnn.detect - Detect features in images using a Mask R-CNN model
- i.ann.maskrcnn.train - Train your Mask R-CNN network
- i.edge - Canny edge detector.
- i.gabor - Creates Gabor filter bank for a 2-dimensional image
- i.modis.download - Download single or multiple tiles of MODIS products using pyModis.
- i.modis.import - Import single or multiple tiles of MODIS products using pyModis.
- i.spectral - Displays spectral response at user specified locations in group or images.
- m.nviz.image - Renders surfaces (raster data), 2D/3D vector data, and volumes (3D raster data) in 3D.
- m.nviz.script - Creates fly-through script to run in NVIZ.
- r.accumulate - Calculates weighted flow accumulation, subwatersheds, stream networks, and longest flow paths using a flow direction map.
- r.area - Calculates area of clumped areas and remove areas smaller or greater than given threshold.
- r.area.createweight - Create a dasymetric weighting layer with Random Forest
- r.basin - Morphometric characterization of river basins
- r.basins.fill - Generates watershed subbasins raster map.
- r.bearing.distance - Find the bearing and/or straight-line distance from all non-null cells to the specified point.
- r.bioclim - Calculates bioclimatic indices.
- r.bitpattern - Compares bit patterns with a raster map.
- r.blend - Blends color components of two raster maps by a given ratio.
- r.boxplot - Draws the boxplot of raster values. Optionally, this is done per category of a zonal raster layer
- r.buffer - Creates a raster map showing buffer zones surrounding cells that contain non-NULL category values.
- r.buffer.lowmem - This is the low-memory alternative to the classic r.buffer module.
- r.buildvrt - Build a VRT (Virtual Raster) from the list of input raster maps.
- r.buildvrt.gdal - Build GDAL Virtual Rasters (VRT) over GRASS GIS raster maps
- r.carve - Takes vector stream data, transforms it to raster and subtracts depth from the output DEM.
- r.catchment - Creates a raster buffer of specified area around vector points using cost distances using r.walk.
- r.category - Manages category values and labels associated with user-specified raster map layers.
- r.category.trim - Export categories and corresponding colors as QGIS color file or csv file. Non-existing categories and their color definitions will be removed.
- r.cell.area - Calculate cell sizes within the computational region
- r.centroids - Creates vector map of centroids from raster of "clumps".
- r.change.info - Landscape change assessment
- r.circle - Creates a raster map containing concentric rings around a given point.
- r.clip - Extracts portion of the input raster map which is in the current computational region
- r.clump - Recategorizes data in a raster map by grouping cells that form physically discrete areas into unique categories.
- r.coin - Tabulates the mutual occurrence (coincidence) of categories for two raster map layers.
- r.colors - Creates/modifies the color table associated with a raster map.
- r.colors.contrastbrightness - Change the contrast/brightness of a raster.
- r.colors.cubehelix - Create or apply a cubehelix color table to a GRASS raster map
- r.colors.matplotlib - Convert or apply a Matplotlib color table to a GRASS raster map
- r.colors.out - Exports the color table associated with a raster map.
- r.colors.out_sld - Exports the color table associated with a raster map layer in SLD format.
- r.colors.stddev - Sets color rules based on stddev from a raster map's mean value.
- r.composite - Combines red, green and blue raster maps into a single composite raster map.
- r.compress - Compresses and decompresses raster maps.
- r.confusionmatrix - Calculates a confusion matrix and accuracies for a given classification using r.kappa.
- r.connectivity.corridors - Compute corridors between habitat patches of an input-layer based on (cost) distance raster maps
- r.connectivity.distance - Compute cost-distances between patches of an input vector map
- r.connectivity.network - Compute connectivity measures for a set of habitat patches based on graph-theory
- r.contour - Produces a vector map of specified contours from a raster map.
- r.convergence - Calculate convergence index.
- r.cost - Creates a raster map showing the cumulative cost of moving between different geographic locations on an input raster map whose cell category values represent cost.
- r.covar - Outputs a covariance/correlation matrix for user-specified raster map layer(s).
- r.crater - Creates meteorites from craters (-c) or craters from meteorites (default).
- r.cross - Creates a cross product of the category values from multiple raster map layers.
- r.damflood - Estimate the area potentially inundated in case of dam break
- r.describe - Prints terse list of category values found in a raster map layer.
- r.distance - Locates the closest points between objects in two raster maps.
- r.divergence - Computes divergence of a vector field defined by magnitude and direction
- r.diversity - Calculate diversity indices based on a moving window using r.li packages
- r.drain - Traces a flow through an elevation model or cost surface on a raster map.
- r.euro.ecosystem - Sets colors and categories of European ecosystem raster data set
- r.exdet - Quantification of novel uni- and multi-variate environments
- r.external - Links GDAL supported raster data as a pseudo GRASS raster map.
- r.external.out - Redirects raster output to file utilizing GDAL library rather than storing in GRASS raster format.
- r.extract - Extracts specified categories of an integer input map.
- r.fill.category - Replaces the values of pixels of a given category with values of the surrounding pixels.
- r.fill.dir - Filters and generates a depressionless elevation map and a flow direction map from a given elevation raster map.
- r.fill.stats - Rapidly fills 'no data' cells (NULLs) of a raster map with interpolated values (IDW).
- r.fillnulls - Fills no-data areas in raster maps using spline interpolation.
- r.findtheriver - Find the stream pixel nearest the input coordinate
- r.flexure - Computes lithospheric flexural isostasy
- r.flow - Computes flowlines, flowpath lengths, and flowaccumulation (contributing areas) from a elevation raster map.
- r.flowaccumulation - Calculates flow accumulation from a flow direction raster map using the Memory-Efficient Flow Accumulation (MEFA) parallel algorithm by Cho (2023).
- r.flowfill - Moves water downhill into pools or the ocean/map edge
- r.forcircular - Evaluation of circular bioeconomy level of forest ecosystems
- r.forestfrag - Computes the forest fragmentation index (Riitters et al. 2000)
- r.fusion - image fusion, generalized pan-sharpening
- r.futures.calib - Module for calibrating patch characteristics used as input to r.futures.pga
- r.futures.demand - Script for creating demand table which determines the quantity of land change expected.
- r.futures.devpressure - Module for computing development pressure
- r.futures.gridvalidation - Module for validating land change simulation on a grid
- r.futures.parallelpga - Module uses Patch-Growing Algorithm (PGA) to simulate urban-rural landscape structure development.
- r.futures.pga - Module uses Patch-Growing Algorithm (PGA) to simulate urban-rural landscape structure development.
- r.futures.potential - Module for computing development potential as input to r.futures.pga
- r.futures.potsurface - Module for computing development potential surface from CSV file created by r.futures.potential and predictors
- r.futures.simulation - Simulates landuse change using FUTure Urban-Regional Environment Simulation (FUTURES).
- r.futures.validation - Module for land change simulation validation and accuracy assessment
- r.fuzzy.logic - Performs logical operations on membership images created with r.fuzzy.set or different method. Use families for fuzzy logic.
- r.fuzzy.set - Calculate membership value of any raster map according user's rules.
- r.fuzzy.system - Fuzzy logic classification system with multiple fuzzy logic families implication and defuzzification and methods.
- r.gdd - Makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers.
- r.geomorphon - Calculates geomorphons (terrain forms) and associated geometry using machine vision approach.
- r.gradient - Create a gradient map
- r.green.biomassfor.co2 - Calculates impact and multifunctionality values
- r.green.biomassfor.financial - Estimates bioenergy that can be collected to supply heating plants or biomass logistic centres and that is associated with a positive net revenue for the entire production process
- r.green.biomassfor.impact - Calculates impact and multifunctionality values
- r.green.biomassfor.legal - Estimates potential bioenergy depending on forest increment, forest management and forest treatment
- r.green.biomassfor.recommended - Estimates potential bioenergy according to environmental restriction
- r.green.biomassfor.technical - Estimates the quantity of woody biomass obtained from a forest surface where extraction is possible given a particular level of mechanisation
- r.green.biomassfor.theoretical - Estimates potential bioenergy depending on forest increment, forest management and forest treatment
- r.green.gshp.technical - Calculate the Ground Source Heat Pump technical potential using the ASHRAE method.
- r.green.gshp.theoretical - Calculate the Ground Source Heat Pump potential
- r.green.hydro.discharge - Calculate average natural discharge and minimum flow following regional law an
- r.green.hydro.optimal - Detect the position of the potential hydropower plants that can produce the highest possible power
- r.green.hydro.planning - Calculate hydropower energy potential with user's recommendations
- r.green.hydro.recommended - Calculate hydropower energy potential with user's recommendations
- r.green.hydro.technical - Hydropower potential with technical constraints
- r.green.hydro.theoretical - Calculate the hydropower energy potential for each basin starting from discharge and elevation data. If existing plants are available it computes the potential installed power in the available part of the rivers.
- r.grow - Generates a raster map layer with contiguous areas grown by one cell.
- r.grow.distance - Generates a raster map containing distances to nearest raster features and/or the value of the nearest non-null cell.
- r.gwflow - Numerical calculation program for transient, confined and unconfined groundwater flow in two dimensions.
- r.gwr - Calculates geographically weighted regression from raster maps.
- r.hand - Performs Height Above Nearest Drainage (HAND) analysis and flood inundation mapping with HAND method.
- r.hants - Approximates a periodic time series and creates approximated output.
- r.hazard.flood - Fast procedure to detect flood prone areas.
- r.his - Generates red, green and blue (RGB) raster map layers combining hue, intensity and saturation (HIS) values from user-specified input raster map layers.
- r.houghtransform - Performs Hough transformation and extracts line segments from image. Region shall be set to input map. Can work only on small images since map is loaded into memory.
- r.hydro.flatten - Derive elevation of water bodies for hydro-flattening
- r.hydrobasin - Delineates a large number of watersheds using the Memory-Efficient Watershed Delineation (MESHED) OpenMP parallel algorithm by Cho (2025).
- r.hydrodem - Hydrological conditioning, sink removal
- r.hypso - Outputs a hypsometric and hypsographic graph.
- r.import - Imports raster data into a GRASS raster map using GDAL library and reprojects on the fly.
- r.in.ahn - Imports the 0.5 meter resolution dtm or dsm from the AHN (Actueel Hoogtebestand Nederland (AHN), version 4.
- r.in.ascii - Converts a GRASS ASCII raster file to binary raster map.
- r.in.aster - Georeference, rectify, and import Terra-ASTER imagery and relative DEMs using gdalwarp.
- r.in.bin - Import a binary raster file into a GRASS raster map layer.
- r.in.gdal - Imports raster data into a GRASS raster map using GDAL library.
- r.in.gridatb - Imports GRIDATB.FOR map file (TOPMODEL) into a GRASS raster map.
- r.in.mat - Imports a binary MAT-File(v4) to a GRASS raster.
- r.in.nasadem - Creates a DEM from 1 arcsec NASADEM tiles.
- r.in.ogc.coverages - Downloads and imports data from OGC API Coverages server.
- r.in.pdal - Creates a raster map from LAS LiDAR points using univariate statistics.
- r.in.pdal - Creates a raster map from LAS LiDAR points using univariate statistics and r.in.xyz.
- r.in.png - Imports non-georeferenced PNG format image.
- r.in.poly - Creates raster maps from ASCII polygon/line/point data files.
- r.in.srtm - Imports SRTM HGT files into raster map.
- r.in.srtm.region - Creates a DEM from 3 arcsec SRTM v2.1 or 1 arcsec SRTM v3 tiles.
- r.in.usgs - Download user-requested products through the USGS TNM API
- r.in.wcs - Downloads and imports coverage from WCS server.
- r.in.wms - Downloads and imports data from OGC WMS and OGC WMTS web mapping servers.
- r.in.xyz - Creates a raster map from an assemblage of many coordinates using univariate statistics.
- r.info - Outputs basic information about a raster map.
- r.info.iso - Creates metadata based on ISO standard for specified raster map.
- r.jpdf - From two series of input raster maps, calculates the joint probability function and outputs the probabilities of occurrence in the specified bins.
- r.kappa - Calculates error matrix and kappa parameter for accuracy assessment of classification result.
- r.lake - Fills lake at given point to given level.
- r.lake.series - Fills lake at given point(s) to given levels.
- r.landscape.evol - Simulates the cumulative effect of erosion and deposition on a landscape over time.
- r.landscape.evol.old - Simulates the cumulative effect of erosion and deposition on a landscape over time.
- r.latlong - Creates a latitude/longitude raster map.
- r.le.patch - Calculates attribute, patch size, core (interior) size, shape, fractal dimension, and perimeter measures for sets of patches in a landscape.
- r.le.pixel - Contains a set of measures for attributes, diversity, texture, juxtaposition, and edge.
- r.learn.ml - Supervised classification and regression of GRASS rasters using the python scikit-learn package
- r.learn.predict - Apply a fitted scikit-learn estimator to rasters in a GRASS GIS imagery group.
- r.learn.train - Supervised classification and regression of GRASS rasters using the python scikit-learn package.
- r.li.cwed - Calculates contrast weighted edge density index on a raster map
- r.li.dominance - Calculates dominance's diversity index on a raster map
- r.li.edgedensity - Calculates edge density index on a raster map, using a 4 neighbour algorithm
- r.li.mpa - Calculates mean pixel attribute index on a raster map
- r.li.mps - Calculates mean patch size index on a raster map, using a 4 neighbour algorithm
- r.li.padcv - Calculates coefficient of variation of patch area on a raster map
- r.li.padrange - Calculates range of patch area size on a raster map
- r.li.padsd - Calculates standard deviation of patch area a raster map
- r.li.patchdensity - Calculates patch density index on a raster map, using a 4 neighbour algorithm
- r.li.patchnum - Calculates patch number index on a raster map, using a 4 neighbour algorithm.
- r.li.pielou - Calculates Pielou's diversity index on a raster map
- r.li.renyi - Calculates Renyi's diversity index on a raster map
- r.li.richness - Calculates richness index on a raster map
- r.li.shannon - Calculates Shannon's diversity index on a raster map
- r.li.shape - Calculates shape index on a raster map
- r.li.simpson - Calculates Simpson's diversity index on a raster map
- r.local.relief - Creates a local relief model from elevation map.
- r.mapcalc - Raster map calculator.
- r.mapcalc.simple - Calculates a new raster map from a simple r.mapcalc expression.
- r.mapcalc.tiled - Runs r.mapcalc in parallel over tiles.
- r.mask - Creates a raster mask for limiting raster operation.
- r.mask.status - Provides information about the presence of a 2D raster mask as text output or return code
- r.massmov - Estimates run-out and deposition of landslide phenomena over a complex topography.
- r.maxent.lambdas - Computes raw or logistic prediction maps from MaxEnt lambdas files
- r.mblend - Blends two rasters of different spatial resolution.
- r.mcda.ahp - Generates a raster map classified with analytic hierarchy process (AHP).
- r.mcda.electre - Multicirtieria decision analysis based on ELECTRE method
- r.mcda.input - Generates a raster map classified with Dominance Rough Set Approach. Use *.rls file from JAMM, 4eMka2 etc.
- r.mcda.output - Exports criteria raster maps and decision raster map in a *.isf file (e.g. 4eMka2, jMAF) for dominance rough set approach analysis.
- r.mcda.promethee - Multicirtieria decision analysis based on PROMETHEE method
- r.mcda.roughset - Generates a MCDA map from several criteria maps using Dominance Rough Set Approach.
- r.mcda.topsis - Generates a MCDA map based on TOPSIS algorthm.
- r.meb - Compute the multivariate environmental bias (MEB)
- r.mess - Computes multivariate environmental similarity surface (MES)
- r.mfilter - Performs raster map matrix filter.
- r.mode - Finds the mode of values in a cover map within areas assigned the same category value in a user-specified base map.
- r.mwprecip - Module for working with microwave links
- r.neighborhoodmatrix - Calculates geometry parameters for raster objects.
- r.neighbors - Makes each cell category value a function of the category values assigned to the cells around it, and stores new cell values in an output raster map layer.
- r.niche.similarity - Computes niche overlap or similarity
- r.northerness.easterness - Calculation of northerness, easterness and the interaction between northerness and slope
- r.null - Manages NULL-values of given raster map.
- r.null.all - Manages NULL values of raster maps in a mapset or their subset.
- r.object.geometry - Calculates geometry parameters for raster objects.
- r.object.spatialautocor - Spatial autocorrelation of raster objects
- r.object.thickness - Evaluates minimum, maximum and mean thickness of objects of a given category on a raster map.
- r.out.ascii - Converts a raster map layer into a GRASS ASCII text file.
- r.out.bin - Exports a GRASS raster to a binary array.
- r.out.gdal - Exports GRASS raster maps into GDAL supported formats.
- r.out.gridatb - Exports GRASS raster map to GRIDATB.FOR map file (TOPMODEL).
- r.out.kde - Exports raster with variable transparency into an image file
- r.out.legend - Create an image file showing the legend of a raster map
- r.out.mat - Exports a GRASS raster to a binary MAT-File.
- r.out.maxent_swd - Exports map data as input to MaxEnt in SWD format
- r.out.mpeg - Converts raster map series to MPEG movie.
- r.out.png - Export a GRASS raster map as a non-georeferenced PNG image.
- r.out.pov - Converts a raster map layer into a height-field file for POV-Ray.
- r.out.ppm - Converts a GRASS raster map to a PPM image file.
- r.out.ppm3 - Converts 3 GRASS raster layers (R,G,B) to a PPM image file.
- r.out.tiff - Exports a GRASS raster map to a 8/24bit TIFF image file.
- r.out.vrml - Exports a raster map to the Virtual Reality Modeling Language (VRML).
- r.out.vtk - Converts raster maps into the VTK-ASCII format.
- r.out.xyz - Exports a raster map to a text file as x,y,z values based on cell centers.
- r.pack - Exports a raster map as GRASS GIS specific archive file
- r.param.scale - Uses a multi-scale approach by taking fitting quadratic parameters to any size window (via least squares).
- r.patch - Creates a composite raster map layer by using known category values from one (or more) map layer(s) to fill in areas of "no data" in another map layer.
- r.patch.smooth - Module for patching rasters with smoothing along edges
- r.path - Traces paths from starting points following input directions.
- r.pi.corr.mw - Moving window correlation analysis.
- r.pi.csr.mw - Complete Spatial Randomness analysis on moving window.
- r.pi.energy - Individual-based dispersal model for connectivity analysis - energy based.
- r.pi.energy.pr - Individual-based dispersal model for connectivity analysis (energy based) using iterative patch removal.
- r.pi.enn - Analysis of n-th Euclidean Nearest Neighbor distance.
- r.pi.enn.pr - Patch relevance for Euclidean Nearest Neighbor patches.
- r.pi.export - Export of patch based information.
- r.pi.fnn - Determines patches of given value and performs a nearest-neighbor analysis.
- r.pi.graph - Graph Theory for connectivity analysis.
- r.pi.graph.dec - Graph Theory - successive criteria-based deletion of patches.
- r.pi.graph.pr - Graph Theory - iterative removal (patch relevance analysis).
- r.pi.graph.red - Graph Theory - decreasing distance threshold option.
- r.pi.grow - Size and suitability based region growing.
- r.pi.import - Import and generation of patch raster data
- r.pi.index - Basic patch based indices
- r.pi.lm - Linear regression analysis for patches.
- r.pi.neigh - Neighbourhood analysis - value of patches within a defined range.
- r.pi.nlm - Creates a random generated map with values 0 or 1by given landcover and fragment count.
- r.pi.nlm.circ - Creates a random landscape with defined attributes.
- r.pi.nlm.stats - Neutral Landscape Generator - index statistics
- r.pi.odc - Omnidirectional connectivity analysis
- r.pi.prob.mw - Probability analysis of 2 random points being in the same patch.
- r.pi.prox - Calculates correlation of two raster maps by calculating correlation function of two corresponding rectangular areas for each raster point and writing the result into a new raster map.
- r.pi.rectangle - Generates a rectangle based on a corner coordinate.
- r.pi.searchtime - Individual-based dispersal model for connectivity analysis (time-based)
- r.pi.searchtime.mw - Individual-based dispersal model for connectivity analysis (time-based) using moving window
- r.pi.searchtime.pr - Individual-based dispersal model for connectivity analysis (time-based) using iterative removal of patches
- r.plane - Creates raster plane map given dip (inclination), aspect (azimuth) and one point.
- r.pops.spread - A dynamic species distribution model for pest or pathogen spread in forest or agricultural ecosystems (PoPS)
- r.profile - Outputs the raster map layer values lying on user-defined line(s).
- r.proj - Re-projects a raster map from given project to the current project.
- r.quant - Produces the quantization file for a floating-point map.
- r.quantile - Compute quantiles using two passes.
- r.quantile.ref - Determines quantile for input value from reference raster map layers.
- r.random - Creates a raster map and vector point map containing randomly located cells and points.
- r.random.cells - Generates random cell values with spatial dependence.
- r.random.surface - Generates random surface(s) with spatial dependence.
- r.random.walk - Performs a 2D random walk inside the computational region and returns the resulting walk.
- r.random.weight - Generates a binary raster layer with a random selection of raster cells depending on the weight of each cell in the input weight layer.
- r.reclass - Creates a new raster map whose category values are based upon a reclassification of the categories in an existing raster map.
- r.reclass.area - Reclasses a raster map greater or less than user specified area size (in hectares).
- r.recode - Recodes categorical raster maps.
- r.recode.attr - Recode raster based on the values in one or more columns in a csv file.
- r.region - Sets the boundary definitions for a raster map.
- r.regression.multi - Calculates multiple linear regression from raster maps.
- r.regression.series - Makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers.
- r.relief - (null)
- r.report - Reports statistics for raster maps.
- r.resamp.bspline - Performs bilinear or bicubic spline interpolation with Tykhonov regularization.
- r.resamp.filter - Resamples raster map layers using an analytic kernel.
- r.resamp.interp - Resamples raster map to a finer grid using interpolation.
- r.resamp.rst - Reinterpolates and optionally computes topographic analysis from input raster map to a new raster map (possibly with different resolution) using regularized spline with tension and smoothing.
- r.resamp.stats - Resamples raster map layers to a coarser grid using aggregation.
- r.resamp.tps - Performs thin plate spline interpolation with regularization and covariables.
- r.resample - GRASS raster map layer data resampling capability.
- r.rescale - Rescales the range of category values in a raster map layer.
- r.rescale.eq - Rescales histogram equalized the range of category values in a raster map layer.
- r.rgb - Splits a raster map into red, green and blue maps.
- r.richdem.breachdepressions - Breaches depressions using RichDEM
- r.richdem.filldepressions - Floods depressions using RichDEM
- r.richdem.flowaccumulation - Calculates flow accumulation via one of a variety of methods.
- r.richdem.resolveflats - Directs flow from flat areas on depression-filled DEMs
- r.richdem.terrainattribute - Calculates local terrain attributes.
- r.ros - Generates three, or four raster map layers showing the base (perpendicular) rate of spread (ROS), the maximum (forward) ROS, the direction of the maximum ROS, and optionally the maximum potential spotting distance for fire spread simulation.
- r.roughness.vector - Calculates surface roughness in a moving-window, as the orientation of vectors normal to surface planes.
- r.sample.category - Create sampling points from each category in a raster map
- r.scatterplot - Creates a scatter plot of two or more raster maps as a vector map
- r.seasons - Extracts seasons from a time series.
- r.series - Makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers.
- r.series.accumulate - Makes each output cell value a accumulationfunction of the values assigned to the corresponding cells in the input raster map layers.
- r.series.boxplot - Draws the boxplot of raster values of a series of input rasters.
- r.series.decompose - Calculates decomposition of time series X.
- r.series.diversity - Compute diversity indici over input layers
- r.series.filter - Performs filtering of raster time series X (in time domain).
- r.series.interp - Interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions.
- r.series.lwr - Approximates a time series and creates approximated, gap-filled output.
- r.shade - Drapes a color raster over an shaded relief or aspect map.
- r.shaded.pca - The combined shades highlight terrain features which wouldn't be visible using standard shading technique.
- r.shalstab - A model for shallow landslide susceptibility.
- r.sim.sediment - Sediment transport and erosion/deposition simulation using path sampling method (SIMWE).
- r.sim.terrain - Dynamic landscape evolution model
- r.sim.water - Overland flow hydrologic simulation using path sampling method (SIMWE).
- r.sim.water.mp - Overland flow hydrologic simulation using path sampling method (SIMWE).
- r.skyline - Compute the skyline index and / or find the horizon cells in a raster viewshed.
- r.skyview - Computes skyview factor visualization technique.
- r.slope.aspect - Aspect is calculated counterclockwise from east.
- r.slope.direction - Calculates slope following a direction raster.
- r.slopeunits.clean - Clean results of r.slopeunits.create
- r.slopeunits.create - Create a raster layer of slope units
- r.slopeunits.metrics - Create metrics for slope units
- r.slopeunits.optimize - Optimize inputs for slope units
- r.smooth.seg - Generates a piece-wise smooth approximation of the input raster and a discontinuity map.
- r.soillossbare - Calculates annual soil loss [t/(ha*a)] for bare soil. Use r.soillosscropland.py afterwards for grown soil.
- r.soils.texture - Define soil texture from sand and clay grid.
- r.solute.transport - Numerical calculation program for transient, confined and unconfined solute transport in two dimensions
- r.spread - Generates a raster map of the cumulative time of spread, given raster maps containing the rates of spread (ROS), the ROS directions and the spread origins. It optionally produces raster maps to contain backlink UTM coordinates for tracing spread paths. Usable for fire spread simulations.
- r.spreadpath - Recursively traces the least cost path backwards to cells from which the cumulative cost was determined.
- r.statistics - Calculates category or object oriented statistics.
- r.stats - Generates area statistics for raster map.
- r.stats.quantile - Compute category quantiles using two passes.
- r.stats.zonal - Calculates category or object oriented statistics (accumulator-based statistics).
- r.stone - The STONE rockfall module
- r.stream.basins - Input can be stream network, vector point map with outlets or outlet coordinates.
- r.stream.channel - Calculates local parameters for individual streams.
- r.stream.distance - The module can work in stream mode where target are streams and outlets mode where targets are outlets.
- r.stream.extract - Performs stream network extraction.
- r.stream.order - Basic module for topological analysis of drainage network.
- r.stream.segment - Divides network into near straight-line segments and calculate its order.
- r.stream.slope - Calculates local parameters for slope subsystem.
- r.stream.snap - Input can be stream network, point vector map with outlets or outlet coordinates.
- r.stream.stats - Calculates Horton's statistics for Strahler and Horton ordered networks created with r.stream.order.
- r.stream.variables - Calculation of contiguous stream-specific variables that account for the upstream environment (based on r.stream.watersheds).
- r.stream.watersheds - Sub-watershed and sub-stream delineation based on the drainage direction and a gridded stream network.
- r.subdayprecip.design - Computes subday design precipitation totals.
- r.sun - Computes direct (beam), diffuse and reflected solar irradiation raster maps for given day, latitude, surface and atmospheric conditions. Solar parameters (e.g. sunrise, sunset times, declination, extraterrestrial irradiance, daylight length) are saved in the map history file. Alternatively, a local time can be specified to compute solar incidence angle and/or irradiance raster maps. The shadowing effect of the topography is optionally incorporated.
- r.sun.daily - Runs r.sun for multiple days in loop (mode 2)
- r.sun.hourly - Runs r.sun in loop for given time range within one day (mode 1 or 2)
- r.sunmask - Either exact sun position (A) is specified, or date/time to calculate the sun position (B) by r.sunmask itself.
- r.support - Allows creation and/or modification of raster map layer support files.
- r.support.stats - Update raster map statistics
- r.surf.area - Prints estimation of surface area for raster map.
- r.surf.contour - Generates surface raster map from rasterized contours.
- r.surf.fractal - Creates a fractal surface of a given fractal dimension.
- r.surf.gauss - Mean and standard deviation of gaussian deviates can be expressed by the user.
- r.surf.idw - Provides surface interpolation from raster point data by Inverse Distance Squared Weighting.
- r.surf.idw2 - Provides surface interpolation from raster point data by Inverse Distance Squared Weighting.
- r.surf.random - Produces a raster surface map of uniform random deviates with defined range.
- r.survey - Returns maps of visibility indexes from multiple survey points
- r.terraflow - Performs flow computation for massive grids.
- r.terrain.texture - Unsupervised nested-means algorithm for terrain classification
- r.texture - Generate images with textural features from a raster map.
- r.texture.tiled - Runs r.texture in parallel over tiles
- r.thin - Thins non-null cells that denote linear features in a raster map layer.
- r.threshold - Find optimal threshold for stream extraction
- r.tile - Splits a raster map into tiles.
- r.tileset - Produces tilings of the source projection for use in the destination region and projection.
- r.timestamp - Print/add/remove a timestamp for a raster map.
- r.to.rast3 - Converts 2D raster map slices to one 3D raster volume map.
- r.to.rast3elev - Creates a 3D volume map based on 2D elevation and value raster maps.
- r.to.vect - Converts a raster map into a vector map.
- r.to.vect.lines - Convert raster rows to vector lines.
- r.to.vect.tiled - Converts a raster map into vector tiles.
- r.topidx - Creates a topographic index (wetness index) raster map from an elevation raster map.
- r.topmodel - Simulates TOPMODEL which is a physically based hydrologic model.
- r.tpi - Calculates the multiscale topographic position index
- r.transect - Outputs raster map layer values lying along user defined transect line(s).
- r.traveltime - Computes the travel time of surface runoff to an outlet
- r.tri - Computes the Terrain Ruggedness Index.
- r.univar - Statistics include number of cells counted, minimum and maximum cell values, range, arithmetic mean, population variance, standard deviation, coefficient of variation, and sum.
- r.univar2 - Calculates univariate statistics from the non-null cells of a raster map.
- r.unpack - Imports a GRASS GIS specific raster archive file (packed with r.pack) as a raster map
- r.uslek - Computes USLE Soil Erodibility Factor (K).
- r.usler - Computes USLE R factor, Rainfall erosivity index.
- r.valley.bottom - Calculation of Multi-resolution Valley Bottom Flatness (MrVBF) index
- r.vect.stats - Bins vector points into a raster map.
- r.vector.ruggedness - Vector Ruggedness Measure
- r.viewshed.cva - Undertakes a "cumulative viewshed analysis" using a vector points map as input "viewing" locations, using r.viewshed to calculate the individual viewsheds.
- r.viewshed.exposure - Computes visual exposure to defined exposure source using weighted parametrised cumulative viewshed analysis.
- r.vif - To calculate the stepwise variance inflation factor.
- r.vol.dem - Creates a 3D raster model (voxels) from a series of raster DEMs
- r.volume - Optionally produces a GRASS vector points map containing the calculated centroids of these clumps.
- r.walk - Creates a raster map showing the anisotropic cumulative cost of moving between different geographic locations on an input raster map whose cell category values represent cost.
- r.water.outlet - Creates watershed basins from a drainage direction map.
- r.wateroutlet.lessmem - Creates watershed basins from a drainage direction map.
- r.watershed - Calculates hydrological parameters and RUSLE factors.
- r.what - Queries raster maps on their category values and category labels.
- r.what.color - Queries colors for a raster map layer.
- r.width.funct - Calculates the Width Function of a watershed basin.
- r.windfetch - Computes wind fetch which is the length of water over which winds blow without obstruction
- r.zonal.classes - Calculates zonal classes proportion describing raster areas's composition, e.g., in terms of land-cover classes.
- r3.count.categories - Count categories in vertical direction
- r3.cross.rast - Creates cross section 2D raster map from 3D raster map based on 2D elevation map
- r3.mapcalc - Raster map calculator.
- r3.profile - Outputs the raster map layer values lying on user-defined line(s).
- r3.to.group - Convert a 3D raster map to imagery group
- r3.to.rast - Converts 3D raster maps to 2D raster maps
- t.rast.accdetect - Detects accumulation patterns in temporally accumulated space time raster datasets created by t.rast.accumulate.
- t.rast.accumulate - Computes cyclic accumulations of a space time raster dataset.
- t.rast.aggregate - Aggregates temporally the maps of a space time raster dataset by a user defined granularity.
- t.rast.aggregate.ds - Aggregates data of an existing space time raster dataset using the time intervals of a second space time dataset.
- t.rast.algebra - Apply temporal and spatial operations on space time raster datasets using temporal raster algebra.
- t.rast.boxplot - Draws the boxplot of the raster maps of a space-time raster dataset
- t.rast.colors - Creates/modifies the color table associated with each raster map of the space time raster dataset.
- t.rast.contour - Produces a space time vector dataset of specified contours from a space time raster dataset.
- t.rast.export - Exports space time raster dataset.
- t.rast.extract - Extracts a subset of a space time raster datasets.
- t.rast.gapfill - Replaces gaps in a space time raster dataset with interpolated raster maps.
- t.rast.import - Imports space time raster dataset.
- t.rast.import.netcdf - Import netCDF files that adhere to the CF convention as STRDS.
- t.rast.kappa - Calculate kappa parameter in a space time raster dataset
- t.rast.line - Draws line plots of the raster maps in a space-time raster dataset
- t.rast.list - Lists registered maps of a space time raster dataset.
- t.rast.mapcalc - Performs spatio-temporal mapcalc expressions on temporally sampled maps of space time raster datasets.
- t.rast.neighbors - Performs a neighborhood analysis for each map in a space time raster dataset.
- t.rast.null - Manages NULL-values of a given space time raster dataset.
- t.rast.out.vtk - Exports space time raster dataset as VTK time series.
- t.rast.out.xyz - Export space time raster dataset to a CSV file.
- t.rast.patch - Patches multiple space time raster maps into a single raster map using r.patch.
- t.rast.series - Performs different aggregation algorithms from r.series on all or a subset of raster maps in a space time raster dataset.
- t.rast.to.rast3 - Converts a space time raster dataset into a 3D raster map.
- t.rast.to.vect - Converts a space time raster dataset into a space time vector dataset
- t.rast.univar - Calculates univariate statistics from the non-null cells for each registered raster map of a space time raster dataset.
- t.rast.what - Sample a space time raster dataset at specific vector point coordinates and write the output to stdout using different layouts
- t.rast.what.aggr - Sample a space time raster dataset at specific vector point map returning aggregate values and write the output to stdout or to attribute table
- t.rast.whatcsv - Sample a space time raster dataset at specific space-time point coordinates from a csv file and write the output to stdout
- t.stac.item - Downloads and imports data from a STAC API server.
- v.area.weigh - Rasterize vector areas using weights
- v.habitat.dem - Calculates DEM derived characteristics of habitats.
- v.krige - Performs ordinary or block kriging for vector maps.
- v.neighbors - Makes each cell value a function of the attribute values assigned to the vector points or centroids in a radius around it, and stores new cell values in an output raster map.
- v.rast.bufferstats - (null)
- v.rast.move - Move vertices by distance specified in a raster
- v.rast.stats - Calculates univariate statistics from a raster map based on a vector map and uploads statistics to new attribute columns.
- v.sample - Samples a raster map at vector point locations.
- v.surf.rst.cv - Performs cross-validation proceedure to optimize the parameterization of v.surf.rst tension and smoothing paramters.
- v.tin.to.rast - Converts (rasterize) a TIN map into a raster map
- v.to.rast - Converts (rasterize) a vector map into a raster map.
- v.to.rast.multi - Create raster maps for multiple numeric attribute columns of a vector map
- v.what.rast - Uploads raster values at positions of vector points to the table.
- v.what.rast.label - Uploads raster values and labels to vector point layer
- v.what.rast.multi - Uploads values of multiple rasters at positions of vector points to the table.
- v.what.rast3 - Uploads 3D raster values at positions of vector points to the table.
- wxpyimgview - Views BMP images from the PNG driver.
- ximgview - View BMP images from the PNG driver.