autocor: Global Spatial Autocorrelation Statistics

In elsa: Entropy-based Local indicator of Spatial Association

Description

Functions to calculate Moran's I and Geary's c statistics.

Usage

moran(x,d1,d2,...) 
geary(x,d1,d2,...) 

Arguments

x	a raster object (RasterLayer or SpatialPointsDataFrame or SpatialPolygonsDataFrame
d1	lower bound local distance, or an object of class neighbours created by dneigh when x is SpatialPoints or SpatialPolygons
d2	upper bound local distance
...	additional arguments including zcol (when x is Spatial* object, specifies the name of the variable in the dataset; longlat (when x is Spatial* object, spacifies whether the dataset has a geographic coordinate system

Details

moran and geary are two functions to measure global spatial autocorrelation within the range of distance specified through d1 and d2. It returns a single numeric value than can show the degree of spatial autocorrelation in the whole dataset.

Value

A numeric value.

Author(s)

Babak Naimi [e-mail]

http://r-gis.net

References

Naimi. B. et al. (under review) ELSA: An Entropy-based Local indicators of Spatial Association, Geographical Analysis;

Examples

## Not run: 

file <- system.file('external/dem_example.grd',package='elsa')
r <- raster(file)

moran(r, d1=0, d2=2000)

geary(r, d1=0, d2=2000)


## End(Not run)

elsa documentation built on May 2, 2019, 4:49 p.m.