topic_statistics(1grass)

✨ topic_statistics(1grass) β€” GRASS User's Manual ✨

okay bestie, so this is the GRASS User's Manual page for the topic statistics 🫢 it is literally a whole group chat of modules that all care about numbers, distributions, error matrices and quantiles. no cap. scroll at your own pace, hydrate, and remember: every tool here lives under the same topic keyword so you can find them all again later. πŸ’…


πŸŽ€ Topic: statistics

here's the full roster, alphabetical because GRASS is a Virgo πŸ’–

  • d.correlate β€” prints you a whole graph of the correlation between raster maps (and yes, it does them in pairs).
  • db.univar β€” does univariate statistics on a table column you picked out. just the one column, she's focused.
  • i.cca β€” Canonical components analysis (CCA) program, but make it image processing. 🌈
  • r.clump β€” recategorizes data in a raster map by grouping cells that form physically discrete areas into unique categories. so like, clumping the little disconnected islands into their own lil IDs πŸ¦‹
  • r.coin β€” tabulates the mutual occurrence (coincidence) of categories for two raster map layers. two layers, one table, iconic.
  • r.covar β€” outputs a covariance/correlation matrix for the raster map layer(s) you specify.
  • r.cross β€” creates a cross product of the category values from multiple raster map layers. carry the one ✨
  • r.kappa β€” calculates the error matrix and kappa parameter for accuracy assessment of a classification result. your vibe check, numerically 🌸
  • r.mode β€” 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 β€” calculates geometry parameters for raster objects. shape lore πŸ’€
  • r.quant β€” produces the quantization file for a floating-point map.
  • r.reclass.area β€” reclasses a raster map greater or less than a user specified area size (in hectares). big units, honestly.
  • r.regression.line β€” calculates linear regression from two raster maps: y = a + b*x. math class but cute.
  • r.regression.multi β€” calculates multiple linear regression from raster maps.
  • r.report β€” reports statistics for raster maps.
  • r.statistics β€” calculates category or object oriented statistics.
  • r.stats β€” generates area statistics for raster map.
  • r.stats.quantile β€” computes category quantiles using two passes. two passes, no shortcuts 😌
  • r.stats.zonal β€” calculates category or object oriented statistics (accumulator-based statistics).
  • r.support.stats β€” updates raster map statistics.
  • r.univar β€” calculates univariate statistics from the non-null cells of a raster map. non-null ONLY, we don't count the nothings πŸ™ˆ
  • r3.stats β€” generates volume statistics for 3D raster maps.
  • r3.univar β€” calculates univariate statistics from the non-null cells of a 3D raster map.
  • t.rast.univar β€” calculates univariate statistics from the non-null cells for each registered raster map of a space time raster dataset. time series girlies rise πŸ‘‘
  • t.rast3d.univar β€” calculates univariate statistics from the non-null cells for each registered 3D raster map of a space time 3D raster dataset.
  • t.vect.univar β€” calculates univariate statistics of attributes for each registered vector map of a space time vector dataset
  • v.db.univar β€” calculates univariate statistics on selected table column for a GRASS vector map.
  • v.kcv β€” randomly partitions points into test/train sets. it's giving train/test split era πŸ’œ
  • v.normal β€” tests for normality for vector points. are you normal? be honest πŸ“
  • v.outlier β€” removes outliers from vector point data. bye girl, you're not like the others πŸŽ€
  • v.qcount β€” indices for quadrat counts of vector point lists.
  • v.rast.stats β€” calculates univariate statistics from a raster map based on a vector map and uploads statistics to new attribute columns. uploads!! it's posting πŸ“€
  • v.univar β€” calculates univariate statistics of vector map features.

πŸ”— SEE ALSO

see also the corresponding keyword statistics for additional references. go down that rabbit hole, iygwkwyk πŸ’…


🌈 Indexes

  • Main index
  • Topics index
  • Keywords index
  • Graphical index
  • Full index

reminder bestie: this whole topic is just a pass-through list β€” the real magic lives in each module's own manual page. click through and read the options before you run anything real. 🫢

okay that's the page!! πŸ’– official sign-off time: this is the GRASS 8.5.0 Reference Manual, Β© 2003-2026 GRASS Development Team, and yeah the footer says GRASS 8.5.0 on the left and topic_statistics(1grass) on the right, exactly like it should. slay, stay statistical, and may all your cells be non-null. βœ¨πŸ‘‘β­

πŸ“¦ where this page comes from