ecospat.mantel.correlogram {ecospat} R Documentation

## Mantel Correlogram

### Description

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

### Usage

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.

mgram
ecospat.mantel.correlogram(dfvar=ecospat.testData[c(2:16)],colxy=1:2, n=100, colvar=3:7,