Hello everyone,

I'm trying to do an interpolation/disaggregation exercise for my model:
take gridded data (at 1/16th degree ~ 6-7 km resolution, WGS84 projection)
and disaggregate into an existing raster grid (at 1320 ft resolution,
Lambert Conformal Conic projection)

I have several hundreds of ASCII files which have monthly data of about 100
yrs. Sample data file is below:
 1915 10 21.7667  1915 11 22.7173  1915 12 22.9624  1916 1 21.1315  1916 2
21.1369  1916 3 23.1922  1916 4 3.5775  1916 5 0.7356  1916 6 3.4738  1916 7
2.7371  1916 8 6.0808  1916 9 6.7089
How could I relate/join the spatial locations with time series data in R?
How could I iterate/loop through all the timesteps,
Interpolate/disaggregate the point values of data to the raster grid (which
has a fixed extent, cell size & different projection)?

I've tried to google this type of analysis but couldn't really find a
solution. Any suggestion on package/code to use or further reading would be
appreciated. Thank you very much for your time!

Best regards,

Tung

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