i'm currently working on the distribution of different species on an area, for 23 years.
I'll show you a sample of my data, it will be easier to get.
My dataframe, let's call it df.
x y 4001758 3138416 3990685 3088576 4002641 3078682 3946723 3153793 3975356 2974350 4001284 3137528 3946723 3153793 3946723 3153793 4000195 3103181 4000168 3103446 3969985 3104761 3905824 3107504
I created a
raster from .tif file.
Here is what i want to do :
I want to extract the value for each cell (with the extract() function) from my
raster, where the
coordinates corresponding to this value, are also in df.
I did it, so i'm still working on it, and for now, i didn't see any errors.
But the difficulty that i have is that i want to also get the
coordinates corresponding for each value in my result of the
Here is what i did :
(cropland is my raster, df_coord is a dataframe, you have a sample, above) Do you have any idea of how i could do that ? I looked on this forum, and stackoverflow (and others), but i didn't find something that i could adapt for my problem, or it's more likely that i didn't see how i could adapt it.
Here is some data : https://we.tl/3xe509KSZO "coord_for_extract.csv" is what i want to filter with, the other are just raster if you want to test.
df_coord is coord_for_extract, r is my raster