# NOT RUN {
library(sp)
library(raster)
library(spatialEco)
library(GeNetIt)
# create example data
data(elev)
r <- projectRaster(elev, res=c(1000,1000),
crs="+proj=aea +lat_1=29.5 +lat_2=42.5")
e <- extent(616893.6,714697.3,5001027,5080542)
elev <- crop(r,e)
names(elev) <- "elev"
pts <- sampleRandom(elev, 10, sp=TRUE)
pts$ID <- LETTERS[seq( from = 1, to = nrow(pts) )]
graph <- GeNetIt::knn.graph(pts, row.names=pts@data[,"ID"])
proj4string(graph) <- proj4string(elev)
head(graph@data)
plot(elev)
plot(graph, cex=0.5, add=TRUE)
plot(pts,pch=19,col="red",add=TRUE)
# Calculate topographical distance
( tdist <- topo.distance(graph, elev) )
# Increase in corrected distance
tdist - graph$length
# Percent increase in corrected distance
((tdist - graph$length) / graph$length) * 100
# }
# NOT RUN {
# }
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