Layar names in R worldclim

points <- spsample(as(r@extent, 'SpatialPolygons'),n=100, type="random")

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Layar names in R worldclim

library(raster)
library(sp)

r <- getData("worldclim",var="bio",res=10)

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Layar names in R worldclim

values <- extract(r,points)

df <- cbind.data.frame(coordinates(points),values)

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Layar names in R worldclim

r <- r[[c(1,12)]]
names(r) <- c("Temp","Prec")

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Layar names in R worldclim

head(df)
           x          y Temp Prec
1  112.95985  52.092650  -37  388
2  163.54612  85.281643   NA   NA
3   30.95257   5.932434  270  950
4   64.66979  40.912583  150  150
5 -169.40479 -58.889104   NA   NA
6   51.46045  54.813600   36  549

plot(r[[1]])
plot(points,add=T)

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