r.object.spatialautocor - GRASS GIS manual

NAME

r.object.spatialautocor - Spatial autocorrelation of raster objects

KEYWORDS

raster, statistics, spatial autocorrelation

SYNOPSIS

r.object.spatialautocor

r.object.spatialautocor --help

r.object.spatialautocor [-d] object_map=name variable_map=name method=string [--help] [--verbose] [--quiet] [--ui]

Flags:

-d: Also take into account diagonal neighbors
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

object_map=name [required]: Raster input map with objects
variable_map=name [required]: Raster input map with variable
method=string [required]: Method for spatial autocorrelation; Options: moran, geary

DESCRIPTION
NOTES
EXAMPLE
REFERENCES
SEE ALSO
AUTHOR

DESCRIPTION

r.object.spatialautocor calculates global spatial autocorrelation of the raster objects in the object_map based on the values in the variable_map. The user can choose between Moran's I or Geary's G indicator using the method parameter.

At this stage, neighborhood is simply defined by an adjancy matrix. The user can choose whether to also accept diagonal neighborhood by setting the -d flag.

NOTES

The module depends on the addon r.neighborhoodmatrix which needs to be installed.

EXAMPLE

Calculate the spatial autocorrelation of altitude in the elevation map using individual patches in the landclass96 (North Carolina sample dataset) as objects:

g.region raster=elevation
r.clump landclass96 output=objects
r.object.spatialautocor ob=objects var=elevation method=moran
r.object.spatialautocor ob=objects var=elevation method=geary

REFERENCES

Moran, P.A.P., 1950. Notes on Continuous Stochastic Phenomena. Biometrika 37, 17-23. https://dx.doi.org/10.2307%2F2332142

Geary, R.C., 1954. The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician 5, 115. https://dx.doi.org/10.2307%2F2986645

AUTHOR

Moritz Lennert

SOURCE CODE

Available at: r.object.spatialautocor source code (history)

Latest change: Monday Jan 30 19:52:26 2023 in commit: cac8d9d848299297977d1315b7e90cc3f7698730