In R, I have a raster entitled "raster_crude" with the following details:
> raster_crude
class : RasterLayer dimensions : 320, 392, 125440 (nrow, ncol, ncell)
resolution : 0.125, 0.125 (x, y) extent : -152, -103, 30, 70 (xmin, xmax,
ymin, ymax) coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84
+towgs84=0,0,0
In R, I also have a data frame entitled "rangewide_absences" of longitude
and latitude points, within the extent of raster_crude, and with the
following details:
> class(rangewide_absences)[1] "data.frame"
> names(rangewide_absences)[1] "LON" "LAT"
> nrow(rangewide_absences)[1] 217494
> summary(rangewide_absences)
LON LAT
Min. :-134.3 Min. : 0.00 1st Qu.:-120.3 1st Qu.:39.56
Median :-116.0 Median :43.02
Mean :-115.0 Mean :42.72 3rd Qu.:-110.5 3rd Qu.:46.27
Max. : 0.0 Max. :59.95
Oftentimes, there is more than one point of rangewide_absences falling
within the grid cells of raster_crude. How do I make a new data frame of
points, maintaining the LON and LAT columns, such that only one point is
sampled PER raster grid cell?
I have been using the package "raster." With the function "extract," one
can extract grid cells to points. However, how do you extract a
randomly-selected point relative to each grid cell?
Many thanks,
Jennifer
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