Topic: statistics
| Tool | Description |
|---|---|
| d.correlate | Prints a graph of the correlation between raster maps (in pairs). |
| db.univar | Calculates univariate statistics on selected table column. |
| i.cca | Canonical components analysis (CCA) program for image processing. |
| 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.covar | Outputs a covariance/correlation matrix for user-specified raster map layer(s). |
| r.cross | Creates a cross product of the category values from multiple raster map layers. |
| r.kappa | Calculates error matrix and kappa parameter for accuracy assessment of classification result. |
| 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.object.geometry | Calculates geometry parameters for raster objects. |
| r.quant | Produces the quantization file for a floating-point map. |
| r.reclass.area | Reclasses a raster map greater or less than user specified area size (in hectares). |
| r.regression.line | Calculates linear regression from two raster maps: y = a + b*x. |
| r.regression.multi | Calculates multiple linear regression from raster maps. |
| r.report | Reports statistics for raster maps. |
| 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.support.stats | Update raster map statistics |
| r.univar | Calculates univariate statistics from the non-null cells of a raster map. Statistics include number of cells counted, minimum and maximum cell values, range, arithmetic mean, population variance, standard deviation, coefficient of variation, and sum. |
| r3.stats | Generates volume statistics for 3D raster maps. |
| r3.univar | Calculates univariate statistics from the non-null cells of a 3D raster map. Statistics include number of cells counted, minimum and maximum cell values, range, arithmetic mean, population variance, standard deviation, coefficient of variation, and sum. |
| t.rast.univar | Calculates univariate statistics from the non-null cells for each registered raster map of a space time raster dataset. |
| t.rast3d.univar | Calculates univariate statistics from the non-null cells for each registered 3D raster map of a space time 3D raster dataset. |
| t.vect.univar | Calculates univariate statistics of attributes for each registered vector map of a space time vector dataset |
| v.db.univar | Calculates univariate statistics on selected table column for a GRASS vector map. |
| v.kcv | Randomly partition points into test/train sets. |
| v.normal | Tests for normality for vector points. |
| v.outlier | Removes outliers from vector point data. |
| v.qcount | Indices for quadrat counts of vector point lists. |
| v.rast.stats | Calculates univariate statistics from a raster map based on a vector map and uploads statistics to new attribute columns. |
| v.univar | Calculates univariate statistics of vector map features. Variance and standard deviation is calculated only for points if specified. |
See also the corresponding keyword for additional references:
statistics
- d.correlate - Prints a graph of the correlation between raster maps (in pairs).
- d.histogram - Displays a histogram in the form of a pie or bar chart for a user-specified raster map.
- db.univar - Calculates univariate statistics on selected table column.
- i.cca - Canonical components analysis (CCA) program for image processing.
- i.oif - Calculates Optimum-Index-Factor table for spectral bands
- i.segment.stats - Calculates statistics describing raster areas.
- 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.cell.area - Calculate cell sizes within the computational region
- r.change.info - Landscape change assessment
- 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.confusionmatrix - Calculates a confusion matrix and accuracies for a given classification using r.kappa.
- r.covar - Outputs a covariance/correlation matrix for user-specified raster map layer(s).
- r.cross - Creates a cross product of the category values from multiple raster map layers.
- r.futures.devpressure - Module for computing development pressure
- r.futures.gridvalidation - Module for validating land change simulation on a grid
- 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.validation - Module for land change simulation validation and accuracy assessment
- r.gwr - Calculates geographically weighted regression from raster maps.
- 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.xyz - Creates a raster map from an assemblage of many coordinates using univariate statistics.
- r.kappa - Calculates error matrix and kappa parameter for accuracy assessment of classification result.
- 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.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.object.geometry - Calculates geometry parameters for raster objects.
- r.object.spatialautocor - Spatial autocorrelation of raster objects
- 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.reclass.area - Reclasses a raster map greater or less than user specified area size (in hectares).
- 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.report - Reports statistics for raster maps.
- r.scatterplot - Creates a scatter plot of raster maps Creates a scatter plot of two or more raster maps as a vector map
- 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.filter - Performs filtering of raster time series X (in time domain).
- 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.support.stats - Update raster map statistics
- r.surf.area - Prints estimation of surface area for raster map.
- r.texture - Generate images with textural features from a raster map.
- r.univar - Calculates univariate statistics from the non-null cells of a raster map. 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.zonal.classes - Calculates zonal classes proportion describing raster areas's composition, e.g., in terms of land-cover classes.
- r3.in.xyz - Create a 3D raster map from an assemblage of many coordinates using univariate statistics
- r3.neighbors - Makes each voxel value a function of the values assigned to the voxels around it, and stores new voxel values in an output 3D raster map
- r3.scatterplot - Creates a scatter plot of 3D raster maps Creates a scatter plot of two or more 3D raster maps as a vector map
- r3.stats - Generates volume statistics for 3D raster maps.
- r3.univar - Calculates univariate statistics from the non-null cells of a 3D raster map. Statistics include number of cells counted, minimum and maximum cell values, range, arithmetic mean, population variance, standard deviation, coefficient of variation, and sum.
- t.rast.boxplot - Draws the boxplot of the raster maps of a space-time raster dataset
- 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.univar - Calculates univariate statistics from the non-null cells for each registered raster map of a space time raster dataset.
- t.rast3d.univar - Calculates univariate statistics from the non-null cells for each registered 3D raster map of a space time 3D raster dataset.
- t.vect.univar - Calculates univariate statistics of attributes for each registered vector map of a space time vector dataset
- v.class - Classifies attribute data, e.g. for thematic mapping
- v.db.univar - Calculates univariate statistics on selected table column for a GRASS vector map.
- v.habitat.dem - Calculates DEM derived characteristics of habitats.
- v.kcv - Randomly partition points into test/train sets.
- v.neighbors - Neighborhood analysis tool for vector point maps. 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.normal - Tests for normality for vector points.
- v.outlier - Removes outliers from vector point data.
- v.perturb - Random location perturbations of vector points.
- v.qcount - Indices for quadrat counts of vector point lists.
- v.random - Generates random 2D/3D vector points.
- v.rast.bufferstats - Calculates statistics of raster map(s) for buffers around vector geometries.
- v.rast.stats - Calculates univariate statistics from a raster map based on a vector map and uploads statistics to new attribute columns.
- v.report - Reports geometry statistics for vector maps.
- v.stats - Calculates vector statistics
- v.strds.stats - Calculates univariate statistics from given space-time raster datasets based on a vector map
- v.univar - Calculates univariate statistics of vector map features. Variance and standard deviation is calculated only for points if specified.
- v.vect.stats.multi - Computes isochrones from collection point in a sewershed