LShannon: A function to compute Shannon-Wiener local diversity...
In OasisR: Outright Tool for the Analysis of Spatial Inequalities and Segregation
LShannon R Documentation
A function to compute Shannon-Wiener local diversity (entropy) index
Description
The Shannon-Wiener diversity index is based on
the notion of entropy and measures population heterogeneity.
Usage
LShannon(x)
Arguments
x
- an object of class matrix (or which can be coerced to that class),
where each column represents the distribution of a group within
spatial units. The number of columns should be greater than 1 (at least 2
groups are required). You should not include a column with total
population, because this will be interpreted as a group.
Value
Local Shannon-Wiener diversity index
References
Shannon C. E. (1948) A mathematical theory
of communication. Bell System Technical Journal (27)
See Also
Other local indices: LQ,
HLoc, LSimpson
Examples
x <- segdata@data[ ,1:2]
LShannon(x)
OasisR documentation built on Aug. 30, 2023, 1:09 a.m.
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| LShannon | R Documentation |
A function to compute Shannon-Wiener local diversity (entropy) index
Description
The Shannon-Wiener diversity index is based on the notion of entropy and measures population heterogeneity.
Usage
LShannon(x)
Arguments
x |
- an object of class matrix (or which can be coerced to that class), where each column represents the distribution of a group within spatial units. The number of columns should be greater than 1 (at least 2 groups are required). You should not include a column with total population, because this will be interpreted as a group. |
Value
Local Shannon-Wiener diversity index
References
Shannon C. E. (1948) A mathematical theory of communication. Bell System Technical Journal (27)
See Also
Other local indices: LQ,
HLoc, LSimpson
Examples
x <- segdata@data[ ,1:2]
LShannon(x)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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