I have a sparse gauging network of daily precipitation (time series) data over my study area. and I need to interpolate this data to grid 0.5×0.5. What is the best Matlab or ArcGIS?
OR Do anyone have any other suggestion for that?
Thanks in advance.
Hadir A. Moneim
You could try building a relational database.
Have just your stations as individual locations, then have the rest of your data as a table. You can perform a relate using the shapes and table.
Might want to consider building a relationship class for this.
http://resources.arcgis.com/en/help/main/10.1/index.html#//004t00000007000000
I hope this helps!
If you have daily data the "reddPrec" package in R is quite suitable for your task
Article An R package for daily precipitation climate series reconstruction
https://cran.r-project.org/web/packages/reddPrec/reddPrec.pdf
This methodology needs at least 10 observations per day to build a proper reconstructed series. This means that you need many stations.
Well,
You can use ARCGIS to interpolate different stations with technique of kriging or spline or IDW method
Regards,
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