[R-sig-Geo] Spatial data interpolation on R

jgarcia at ija.csic.es jgarcia at ija.csic.es
Wed Jun 2 20:09:27 CEST 2010

You should conduct a block kriging from the point sparse data to the
regular grid (the domain of the satellite images). Try, e.g., gstat

> Dear R colleagues!
>  I´d like to start my participation in this list by describing my current
> problem: inside my area of study I need to compare precipitation data from
> two different sources: both station (total of 86) and a grid (at 8km) of
> satellite estimates.
>   My specific objective is to interpolate the station data into a regular
> grid in the same resolution of the satellite estimates, preferentially
> having control of the spatial domain (lat/lon coordinates). As far as I
> know this is the correct way of making such comparison.
>   Could anybody please point directions to perform this task using R? I´m
> such a beginner that I don´t even know if
>  there´s a package designed to create regular grids from "random" data
> (interpolating by kriging or other technique). Usage examples would be
> welcomed as well!
> Thanks in advance,
>  Thiago.
> 	[[alternative HTML version deleted]]
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