Simulates of a point pattern according to the null hypothesis of population independence defined for M
A weighted, marked, planar point pattern (
One of the point types.
Reference points are kept unchanged, other points are redistributed randomly across locations.
A new weighted, marked, planar point pattern (an object of class
Eric Marcon <[email protected]>
Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. Journal of Economic Geography 10(5): 745-762.
Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. International Journal of Ecology 2012(Article ID 619281): 11.
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# Simulate a point pattern with five types X <- rpoispp(50) PointType <- sample(c("A", "B", "C", "D", "E"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X) par(mfrow=c(1,2)) plot(X, main="Original pattern, Point Type", which.marks=2) # Randomize it Y <- rPopulationIndependenceM(X, "A") # Points of type "A" (circles) are unchanged, # all other points have been redistributed randomly across locations plot(Y, main="Randomized pattern, Point Type", which.marks=2)
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