raster_graphical(1)
🦋 raster_graphical(1) — GRASS GIS User's Manual 🦋
okay bestie, pull up a chair and get comfy because this is the page 💅 it's the GRASS GIS User's Manual entry for raster_graphical, and what it actually is is a whole graphical index of GRASS GIS modules — like a vibe-checked catalogue of every raster module in the house. no cap.
✨ Graphical index of GRASS GIS modules ✨
literally the table of contents but make it cute 🎀
Go to raster introduction | topics
and for the completionists who peek at the source: the web build ships this lil stylesheet so the index renders all pretty. not a module, just ✨aesthetic✨, iykyk:
.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; } .img-list li .desc { margin: 0px; } .img-list li .name { margin: 5px;
display: block; color: #409940; font-weight: bold; font-style: italic; }🎀 Raster modules 🎀
here comes the main character list — every single one, no skipping, we do NOT gatekeep 💖
r.basins.fill— generates watershed subbasins raster map 🏞️r.blend— blends the color components of two raster maps together, by a ratio you pick 🎨r.buffer— creates a raster map showing buffer zones surrounding cells that contain non-NULL category values 🫧r.buffer.lowmem— creates a raster map showing buffer zones surrounding cells that contain non-NULL category values — yeah it's the lowmem flavour, same energy 🌬️r.buildvrt— builds a VRT (Virtual Raster) from the list of input raster maps 📚r.carve— generates stream channels 🌊r.category— manages the category values and labels associated with user-specified raster map layers 🏷️r.circle— creates a raster map stuffed 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 for two raster map layers 🪙r.colors— creates/modifies the color table associated with a raster map 🌈r.colors.out— exports the color table associated with a raster map 📤r.colors.stddev— sets color rules based on stddev from a raster map's mean value 📊r.covar— outputs a covariance/correlation matrix for user-specified raster map layer(s) 🧮r.composite— combines red, green and blue raster maps into a single composite raster map 🖼️r.compress— compresses and decompresses raster maps 🗜️r.contour— produces a vector map of specified contours 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.cross— creates a cross product of the category values from multiple raster map layers ✖️r.describe— prints a terse list of 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 cost surface on a raster map 💧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.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.flow— constructs flowlines 🌀r.geomorphon— calculates geomorphons (terrain forms) and associated geometry using a machine vision approach 👁️r.grow.distance— generates a raster map containing distances to 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— numerical calculation program for transient, confined and unconfined groundwater flow in two dimensions 💦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.horizon— computes horizon angle height from a digital elevation model 🌄r.import— imports raster data into a GRASS raster map using GDAL library and reprojects on the fly 🛬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 usinggdalwarp🛰️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 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.pdal— creates a raster map from LAS LiDAR points using univariate statistics 📡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.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 ℹ️r.kappa— calculates error matrix and kappa parameter for accuracy assessment of classification result 🎯r.lake— fills lake at given point to given level 🏞️r.latlong— creates a latitude/longitude raster map 🧭r.li.cwed— calculates contrast weighted edge density index on a raster mapr.li.daemon— support module forr.lilandscape index calculations 🧚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 algorithmr.li— landscape structure analysis package overview 🌳r.li.mpa— calculates mean pixel attribute index on a raster mapr.li.mps— calculates mean patch size index on a raster map, using a 4 neighbour algorithmr.li.padcv— calculates coefficient of variation of patch area on a raster mapr.li.padrange— calculates range of patch area size on a raster mapr.li.padsd— calculates standard deviation of patch area a raster mapr.li.patchdensity— calculates patch density index on a raster map, using a 4 neighbour algorithmr.li.patchnum— calculates patch number index on a raster map, using a 4 neighbour algorithmr.li.pielou— calculates Pielou's diversity index on a raster mapr.li.renyi— calculates Renyi's diversity index on a raster mapr.li.richness— calculates richness index on a raster mapr.li.shannon— calculates Shannon's diversity index on a raster mapr.li.shape— calculates shape index on a raster mapr.li.simpson— calculates Simpson's diversity index on a raster mapr.mapcalc— raster map calculator 🧮r.mapcalc.simple— calculates a new raster map from a simpler.mapcalcexpression 🪄r.mask— creates a MASK for limiting raster operation 🎭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.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.null— manages NULL-values of 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 GRASS raster map to GRIDATB.FOR map file (TOPMODEL) 📦r.out.mat— exports a GRASS raster to a binary MAT-File 🧫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.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— 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 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 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.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 user specified area size (in hectares) 📏r.reclass— reclassify raster map based on category values 🔁r.recode— recodes categorical raster maps 🔀
and that's just part one, bestie — the list literally keeps going 😭 more modules coming, don't go anywhere 🫶
r.region— sets the boundary definitions for a raster map. literally the boundary bestie 💅r.regression.line— calculates linear regression from two raster maps:y = a + b*x. math slay 📈r.regression.multi— calculates multiple linear regression from raster maps. more x's, more fun ✨r.relief— creates a shaded relief map from an elevation map (DEM). DEM? more like dang, elevation! 🏔️r.report— reports statistics for raster maps. receipts, but make it spatial 🧾r.resamp.bspline— performs bilinear or bicubic spline interpolation with Tykhonov regularization. fancy math flex 💅r.resamp.filter— resamples raster map layers using an analytic kernel. kernel? like popcorn? no, bestie, like math 🍿r.resamp.interp— resamples raster map to a finer grid using interpolation. glow up that resolution ✨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. tension? in this economy? 😭r.resamp.stats— resamples raster map layers to a coarser grid using aggregation. downgrade but make it statistical 📉r.resample— GRASS raster map layer data resampling capability. the OG resampler, no cap 🫶r.rescale.eq— rescales histogram equalized the range of category values in a raster map layer. histogram? equalized? iconic 💜r.rescale— rescales the range of category values in a raster map layer. just rescale it bestie 💅r.rgb— splits a raster map into red, green and blue maps. RGB? more like RGBae 🌈r.ros— generates rate of spread raster maps. spread? like wildfire? yes, literally 🔥r.semantic.label— manages semantic label information assigned to a single raster map or to a list of raster maps. labels, but make it semantic ✨r.series.accumulate— makes each output cell value aaccumulationfunctionof the values assigned to the corresponding cells in the input raster map layers. accumulate? like my unread emails? 📧r.series— makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers. series? like a TV show? no, raster math 📺r.series.interp— interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions. interpolation? in between? it's giving middle child energy 🥺r.shade— drapes a color raster over an shaded relief or aspect map. drapes? slay, fashion 💅r.sim.sediment— sediment transport and erosion/deposition simulation using path sampling method (SIMWE). sediment? more like sediment-ary, bestie 🪨r.sim.water— overland flow hydrologic simulation using path sampling method (SIMWE). water? hydrate or die-drate 💧r.slope.aspect— generates raster maps of slope, aspect, curvatures and partial derivatives from an elevation raster map. slope? aspect? math girlies we love 📐r.solute.transport— numerical calculation program for transient, confined and unconfined solute transport in two dimensions. solute? transport? sounds like a sci-fi movie 🚀r.spread— simulates elliptically anisotropic spread. elliptically anisotropic? say that three times fast 😭r.spreadpath— recursively traces the least cost path backwards to cells from which the cumulative cost was determined. least cost path? bestie, that's just my budget 🤑r.statistics— calculates category or object oriented statistics. stats? iconic 📊r.stats— generates area statistics for raster map. area stats? slay 💅r.stats.quantile— compute category quantiles using two passes. quantiles? two passes? like a vibe check twice 👀r.stats.zonal— calculates category or object oriented statistics (accumulator-based statistics). zonal? like zones? yes bestie 🌍r.stream.extract— performs stream network extraction. streams? like Twitch? no, water 💧r.sun— solar irradiance and irradiation model. sun? main character energy ☀️r.sunhours— calculates solar elevation, solar azimuth, and sun hours. sun hours? vitamin D but make it data 🌞r.sunmask— calculates cast shadow areas from sun position and elevation raster map. shadow? not me being shady 💅r.support— allows creation and/or modification of raster map layer support files. support? we love a supportive queen 🫶r.support.stats— update raster map statistics. update? like a software update but for stats 🔄r.surf.area— prints estimation of surface area for raster map. surface area? math is mathing 📐r.surf.contour— generates surface raster map from rasterized contours. contours? like contour makeup? no, terrain 💄r.surf.fractal— creates a fractal surface of a given fractal dimension. fractal? mind-bending, slay 🌀r.surf.gauss— generates a raster map using gaussian random number generator. gaussian? normal distribution bestie 🔔r.surf.idw— provides surface interpolation from raster point data by Inverse Distance Squared Weighting. inverse distance squared? that's a mouthful 💅r.surf.random— produces a raster surface map of uniform random deviates with defined range. random? like my sleep schedule 😭r.terraflow— performs flow computation for massive grids. massive grids? big data energy 💅r.texture— generate images with textural features from a raster map. texture? like a filter? yes ✨r.thin— thins non-null cells that denote linear features in a raster map layer. thin? like thinning the herd? 💅r.tile— splits a raster map into tiles. tiles? like bathroom tiles? no, raster 🧱r.tileset— produces tilings of the source projection for use in the destination region and projection. tileset? more tiles, more fun 🧩r.timestamp— modifies a timestamp for a raster map. timestamp? like a receipt for time ⏰r.to.rast3— converts 2D raster map slices to one 3D raster volume map. 2D to 3D? glow up! ✨r.to.rast3elev— creates a 3D volume map based on 2D elevation and value raster maps. elevation? 3D? we love dimensions 💜r.to.vect— converts a raster map into a vector map. raster to vector? transformation, slay 🦋r.topidx— creates a topographic index (wetness index) raster map from an elevation raster map. wetness index? hydrate! 💧r.topmodel— simulates TOPMODEL which is a physically based hydrologic model. TOPMODEL? top tier model 👑r.transect— outputs raster map layer values lying along user defined transect line(s). transect? like a line? yes bestie 📏r.univar— calculates univariate statistics from the non-null cells of a raster map. univariate? stats girlies rise 📊r.unpack— imports a GRASS GIS specific raster archive file (packed withr.pack) as a raster map. unpack? like moving day 📦r.uslek— computes USLE Soil Erodibility Factor (K). USLE? K? acronym slay 💅r.usler— computes USLE R factor, Rainfall erosivity index. R factor? rainfall? dramatic 💧r.viewshed— computes the viewshed of a point on an elevation raster map. viewshed? like a view? iconic 👀r.volume— calculates the volume of data "clumps". clumps? like clumps of data? sure 💜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. walk? like a stroll but with cost 🚶♀️r.water.outlet— creates watershed basins from a drainage direction map. watershed? like a glow-up for water 💧r.watershed— calculates hydrological parameters and RUSLE factors. hydrology? RUSLE? science slay 🔬r.what.color— queries colors for a raster map layer. colors? my favorite 💖r.what— queries raster maps on their category values and category labels. what? like what? yes, queries 💅
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© 2003-2025 GRASS Development Team, GRASS GIS 8.4.2 Reference Manual — and this was GRASS 8.4.2 raster_graphical(1). periodt, bestie 💅✨
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