View source: R/calcConnectivity.R
calcMantel | R Documentation |
Calculation of rM from POINTS geolocators and/or GPS data, not accounting for uncertainty. If you've already calculated distances between points, you can use those instead.
calcMantel(
targetPoints = NULL,
originPoints = NULL,
targetDist = NULL,
originDist = NULL
)
targetPoints |
A sf |
originPoints |
A sf |
targetDist |
Distances between the target locations of the tracked animals. Symmetric matrix with number of animals rows and columns, although really you only need the lower triangle filled in. |
originDist |
Distances between the origin locations of the tracked animals. Symmetric matrix with number of animals rows and columns, although really you only need the lower triangle filled in. |
calcMantel
returns a list with elements:
pointCorr
Simple point estimate of Mantel correlation.
originDist, targetDist
Distances between each pair of
originPoints
and each pair of targetPoints
, respectively,
in meters. If you used distances as inputs instead, then these are just
what you fed in.
Ambrosini, R., A. P. Moller, and N. Saino. 2009. A quantitative measure of migratory connectivity. Journal of Theoretical Biology 257:203-211. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.jtbi.2008.11.019")}
estMantel
, calcMC
, estMC
data(OVENdata) # Ovenbird
rM0 <- calcMantel(originPoints = OVENdata$originPoints, # Capture Locations
targetPoints = OVENdata$targetPoints) # Target locations
str(rM0)
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