raster_graphical(1grass)

📦

version 8.5.0 · 10 versions

✨ Graphical index of GRASS tools ✨

okay bestie, this is raster_graphical, from the 1grass manual — the GRASS User's Manual one, you know the vibe. This isn't a command you run, it's the glow-up gallery: the graphical index of every single raster tool GRASS ships. All of them. We are going through the entire roster, no skips, no "we'll come back to it". Hydrate 🫶

the stylesheet, verbatim, don't touch a pixel — this is the CSS that makes the index cute: the image list, the hover highlight, the lil green names. I'm not paraphrasing it, because CSS that's "close enough" is not CSS at all, and var(--gs-primary-color) is the theme color doing the default-image background. iconic, honestly:

.img-list { margin: 0; padding: 0; list-style-type: none; } .img-list li {
padding: 5px; overflow: auto; } .img-list li:hover { background-color: #eee; }
.img-list li a { color: initial; text-decoration: none; display: block; }
.img-list li img { width: 10%; float: left; margin: 0 15px 0 0; background:
white; object-fit: scale-down; } .img-list li img.default-img { max-height:
5ex; background-color: var(--gs-primary-color); padding: 5px; } .img-list li
.desc { margin: 0px; } .img-list li .name { margin: 5px; display: block; color:
#409940; font-weight: bold; font-style: italic; }

Go to Raster introduction | topics — those are your two doorways out of here whenever you're done scrolling 💫

💖 Raster tools: 💖

the way this list just goes. anyway. every entry, in order, exactly as indexed:

r.basins.fill — generates watershed subbasins as a raster map.
r.blend — blends the color components of two raster maps together by a ratio you pick.
r.buffer — creates a raster map of buffer zones around cells that hold non-NULL category values.
r.buffer.lowmem — same job, same non-NULL-cell buffer zones, just the low-memory build of it.
r.buildvrt — builds a VRT (Virtual Raster) out of a list of input raster maps.
r.carve — generates stream channels.
r.category — manages the category values and labels tied to the raster map layers you specify.
r.circle — makes a raster map with concentric rings around a given point.
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 between two raster map layers.
r.colors — creates or modifies the color table attached to a raster map.
r.colors.out — exports that color table back out.
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 one single composite raster map.
r.compress — compresses and decompresses raster maps.
r.contour — produces a vector map of the contours you specify from a raster map.
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 the raster map layer(s) you name.
r.cross — creates a cross product of the category values from multiple raster map layers.
r.describe — prints a terse list of the category values found in a raster map layer.
r.distance — locates the closest points between objects in two raster maps.
r.drain — traces a flow through an elevation model or a cost surface on a raster map.
r.external — links GDAL supported raster data in as a pseudo GRASS raster map.
r.external.out — redirects raster output to a file utilizing the GDAL library instead of storing it in GRASS raster format.
r.fill.dir — filters and generates a depressionless elevation map plus 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.flow — constructs flowlines.
r.geomorphon — calculates geomorphons (terrain forms) and their associated geometry using a machine vision approach.
r.grow.distance — generates a raster map containing distances to the nearest raster features and/or the value of the nearest non-null cell.
r.grow — generates a raster map layer with contiguous areas grown by one cell.
r.gwflow — a numerical calculation program for transient, confined and unconfined groundwater flow in two dimensions.
r.his — generates red, green and blue (RGB) raster map layers by combining hue, intensity and saturation (HIS) values from the input raster map layers you specify.
r.horizon — computes horizon angle height from a digital elevation model.
r.import — imports raster data into a GRASS raster map using the GDAL library and reprojects on the fly.
r.in.ascii — converts a GRASS ASCII raster file to a binary raster map.
r.in.aster — georeference, rectify, and import Terra-ASTER imagery and relative DEMs using gdalwarp.
r.in.bin — imports a binary raster file into a GRASS raster map layer.
r.in.gdal — imports raster data into a GRASS raster map using the GDAL library.
r.in.gridatb — imports a GRIDATB.FOR map file (TOPMODEL) into a GRASS raster map.
r.in.mat — imports a binary MAT-File(v4) into a GRASS raster.
r.in.png — imports non-georeferenced PNG format images.
r.in.poly — creates raster maps from ASCII polygon/line/point data files.
r.in.srtm — imports SRTM HGT files into a raster map.
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.kappa — calculates the error matrix and kappa parameter for accuracy assessment of a classification result.
r.lake — fills a lake at a given point to a given level.
r.latlong — creates a latitude/longitude raster map.
r.li.cwed — calculates the contrast weighted edge density index on a raster map.
r.li.daemon — support module for r.li landscape index calculations.
r.li.dominance — calculates dominance's diversity index on a raster map.
r.li.edgedensity — calculates the edge density index on a raster map, using a 4 neighbour algorithm.
r.li — the landscape structure analysis package overview.
r.li.mpa — calculates the mean pixel attribute index on a raster map.
r.li.mps — calculates the mean patch size index on a raster map, using a 4 neighbour algorithm.
r.li.padcv — calculates the coefficient of variation of patch area on a raster map.
r.li.padrange — calculates the range of patch area size on a raster map.
r.li.padsd — calculates the standard deviation of patch area a raster map.
r.li.patchdensity — calculates the patch density index on a raster map, using a 4 neighbour algorithm.
r.li.patchnum — calculates the 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 the richness index on a raster map.
r.li.shannon — calculates Shannon's diversity index on a raster map.
r.li.shape — calculates the shape index on a raster map.
r.li.simpson — calculates Simpson's diversity index on a raster map.
r.mapcalc — the raster map calculator.
r.mapcalc.simple — calculates a new raster map from a simple r.mapcalc expression.
r.mask — creates a raster mask for limiting raster operations.
r.mask.status — reports the presence or absence of a raster mask.
r.mfilter — performs a raster map matrix filter.
r.mode — finds the mode of values in a cover map within areas assigned the same category value in a base map you specify.
r.neighbors — makes each cell category value a function of the category values assigned to the cells around it, and stores the new cell values in an output raster map layer.
r.null — manages the NULL-values of a given raster map.
r.object.geometry — calculates geometry parameters for raster objects.
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 a GRASS raster map to a GRIDATB.FOR map file (TOPMODEL).
r.out.mat — exports a GRASS raster to a binary MAT-File.
r.out.mpeg — converts a raster map series to an MPEG movie.
r.out.png — exports 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.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 a GRASS specific archive file.
r.param.scale — extracts terrain parameters from a DEM.
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.path — traces paths from starting points following input directions.
r.plane — creates a raster plane map given dip (inclination), aspect (azimuth) and one point.
r.profile — outputs the raster map layer values lying on user-defined line(s).
r.proj — re-projects a raster map from a given project to the current project.
r.quant — produces the quantization file for a floating-point map.
r.quantile — computes quantiles using two passes.
r.random.cells — generates random cell values with spatial dependence.
r.random — creates randomly placed raster cells or vector points.
r.random.surface — generates random surface(s) with spatial dependence.
r.reclass.area — reclasses a raster map greater or less than a user specified area size (in hectares).
r.reclass — reclassifies a raster map based on category values.
r.recode — recodes categorical raster maps.
r.region — sets the boundary definitions for a raster map. boundaries? handled. 💅
r.regression.line — calculates linear regression from two raster maps: y = a + b*x. the math is mathing 📈
r.regression.multi — calculates multiple linear regression from raster maps. yes, more than one input, we're fancy now.
r.relief — creates a shaded relief map from an elevation map (DEM). instant glow-up for your terrain. ✨
r.report — reports statistics for raster maps. receipts, basically. 🧾
r.resamp.bspline — performs bilinear or bicubic spline interpolation with Tykhonov regularization. say that five times fast.
r.resamp.filter — resamples raster map layers using an analytic kernel. 🍿
r.resamp.interp — resamples raster map to a finer grid using interpolation. making it crisp.
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. she does everything, no cap.
r.resamp.stats — resamples raster map layers to a coarser grid using aggregation. going the other direction, still iconic.
r.resample — GRASS raster map layer data resampling capability. the og resampler.
r.rescale.eq — rescales histogram equalized the range of category values in a raster map layer. histogram equalized bestie, don't skip that part.
r.rescale — rescales the range of category values in a raster map layer. same energy, no equalization.
r.rgb — splits a raster map into red, green and blue maps. rgb breakup arc 🔴🟢🔵
r.ros — generates rate of spread raster maps. 🔥
r.semantic.label — manages semantic label information assigned to a single raster map or to a list of raster maps. one map or a whole friend group, she's flexible.
r.series.accumulate — makes each output cell value an accumulation function of the values assigned to the corresponding cells in the input raster map layers. stacking that value, literally.
r.series — makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers. the main character of the series family ngl.
r.series.interp — interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions. filling in the gaps, bestie.
r.shade — drapes a color raster over a shaded relief or aspect map. outfit reveal for your terrain. 🎀
r.sim.sediment — sediment transport and erosion/deposition simulation using path sampling method (SIMWE). erosion era 😭
r.sim.water — overland flow hydrologic simulation using path sampling method (SIMWE). water where it shouldn't be, simulated. 🌊
r.slope.aspect — generates raster maps of slope, aspect, curvatures and partial derivatives from an elevation raster map. glow-up and math.
r.smooth.edgepreserve — smoothing with anisotropic diffusion. edges stay, noise leaves. periodt.
r.solute.transport — numerical calculation program for transient, confined and unconfined solute transport in two dimensions. she's in 2D and she's thriving.
r.spread — simulates elliptically anisotropic spread. it's giving... spread. elliptically.
r.spreadpath — recursively traces the least cost path backwards to cells from which the cumulative cost was determined. walking backwards through the receipts. 🫶
r.statistics — calculates category or object oriented statistics. stats but with categories.
r.stats — generates area statistics for raster map. just the areas, the basics.
r.stats.quantile — compute category quantiles using two passes. two passes, because one wasn't enough 💅
r.stats.zonal — calculates category or object oriented statistics (accumulator-based statistics). zones! accumulation! slay.
r.stream.extract — performs stream network extraction. pulling the streams out of the map, gently. 💧
r.sun — solar irradiance and irradiation model. ☀️ main character energy.
r.sunhours — calculates solar elevation, solar azimuth, and sun hours. sun math, but make it cute.
r.sunmask — calculates cast shadow areas from sun position and elevation raster map. shadows. very mysterious of her. 🌒
r.support — allows creation and/or modification of raster map layer support files. the support system we all need. 💖
r.support.stats — update raster map statistics. little refresh, no big deal.
r.surf.area — prints estimation of surface area for raster map. how much surface? bestie, we're about to find out.
r.surf.contour — generates surface raster map from rasterized contours. contour lines to actual vibes.
r.surf.fractal — creates a fractal surface of a given fractal dimension. fractal girlies, this one's for you. 🦋
r.surf.gauss — generates a raster map using gaussian random number generator. random but make it gaussian.
r.surf.idw — provides surface interpolation from raster point data by Inverse Distance Squared Weighting. IDW girlies rise. 🔥
r.surf.random — produces a raster surface map of uniform random deviates with defined range. chaos, but with a defined range.
r.terraflow — performs flow computation for massive grids. MASSIVE grids. she can handle it.
r.texture — generate images with textural features from a raster map. texture check ✨
r.thin — thins non-null cells that denote linear features in a raster map layer. skinny legend behavior.
r.tile — splits a raster map into tiles. tiling arc 🧩
r.tileset — produces tilings of the source projection for use in the destination region and projection. source ➡️ destination, but make it tiled.
r.timestamp — modifies a timestamp for a raster map. when did this even happen. ⏰
r.to.rast3 — converts 2D raster map slices to one 3D raster volume map. leveling up dimensions bestie, 2D ➡️ 3D.
r.to.rast3elev — creates a 3D volume map based on 2D elevation and value raster maps. elevation AND value. duo.
r.to.vect — converts a raster map into a vector map. raster to vector, the classic glow-down-then-glow-up.
r.topidx — creates a topographic index (wetness index) raster map from an elevation raster map. wetness index 🫧
r.topmodel — simulates TOPMODEL which is a physically based hydrologic model. physically based? she's grounded.
r.transect — outputs raster map layer values lying along user defined transect line(s). you define the line, she reads the values.
r.univar — calculates univariate statistics from the non-null cells of a raster map. only the non-null cells, we don't count the empties. 💅
r.unpack — imports a GRASS specific raster archive file (packed with r.pack) as a raster map. unpacking the moment 📦
r.uslek — computes USLE Soil Erodibility Factor (K). factor K, capital letter, respect it.
r.usler — computes USLE R factor, Rainfall erosivity index. 🌧️ erosivity.
r.viewshed — computes the viewshed of a point on an elevation raster map. what can you see from here, bestie 👀
r.volume — calculates the volume of data "clumps". the quotes around "clumps" are load-bearing.
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. it's giving journey.
r.water.outlet — creates watershed basins from a drainage direction map. basins where basins belong.
r.watershed — calculates hydrological parameters and RUSLE factors. the whole hydrology package ✨
r.what.color — queries colors for a raster map layer. what color. literally the tool name. 🎨
r.what — queries raster maps on their category values and category labels. asks the questions nobody else will.

Main index | Topics index | Keywords index | Graphical index | Full index

Everything above is the Graphical index of GRASS tools — every single raster tool, all typed out, no shortcuts taken 💖

And that's the whole page, bestie. This one lives in the GRASS 8.5.0 Reference Manual, it's © 2003-2026 GRASS Development Team, and the footer signs off as GRASS 8.5.0 … raster_graphical(1grass) — reading it really said "here's every raster module, know them, love them" 🌈 Thank you for coming to my TED talk, go run r.univar on something. 👑💜

📦 where this page comes from

ubuntu stonking: grass-doc 8.5.0-1ubuntu1 · GPL-2.0-or-later
💖 girlified by deepseek-ai/DeepSeek-V4.1-Flash on 2026-11-03: a language model's rewrite of the original, under its terms