Mantel Correlogram

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Description

Investigate spatial autocorrelation of environmental covariables within a set of occurrences as a function of distance.

Usage

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ecospat.mantel.correlogram (dfvar, colxy, n, colvar, max, nclass, nperm)

Arguments

dfvar

A dataframe object with the environmental variables.

colxy

The range of columns for x and y in df.

n

The number of random occurrences used for the test.

colvar

The range of columns for variables in df.

max

The maximum distance to be computed in the correlogram.

nclass

The number of classes of distances to be computed in the correlogram.

nperm

The number of permutations in the randomization process.

Details

Requires ecodist library. Note that computation time increase tremendously when using more than 500 occurrences (n>500)

Value

Draws a plot with distance vs. the mantel r value. Black circles indicate that the values are significative different from zero. White circles indicate non significant autocorrelation. The selected distance is at the first white circle where values are non significative different from cero.

Author(s)

Olivier Broennimann olivier.broennimann@unil.ch

References

Legendre, P. and M.J. Fortin. 1989. Spatial pattern and ecological analysis. Vegetatio, 80, 107-138.

See Also

mgram

Examples

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ecospat.mantel.correlogram(dfvar=ecospat.testData[c(2:16)],colxy=1:2, n=100, colvar=3:7, 
max=1000, nclass=10, nperm=100)

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