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I need to convert multicolumn CSV file in a raster. I read some similar question, but my problem is that I have different columns in addition to "longitude" and "latitude" (I would like to manage a 20 years data). I don't want and cannot separate the columns into other files, are too many. Values are average temperature per year. Header Columns are:

lat, lon, year(1), year(2), year(3)... year(n).

Should I first somehow order my CSV and the translate it in a multiband raster?

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    You need to create 20 rasters then, because each pixel can only have one value. Or one raster with 20 bands. Btw, which software do you use to do this? In QGIS you can choose which column shall be used as rastervalue.
    – MrXsquared
    Sep 27, 2020 at 20:59
  • Have a read of gis.stackexchange.com/questions/8844/… if you create a virtual point layer you can rasterize by triangulation or IDW, whichever supports your analysis, for each field though if you've got a heap of them it might be time to try a bit of python.
    – Michael Stimson
    Sep 28, 2020 at 5:52
  • I use Grass! But to create raster I can use even QGIS, then I need to work with the raster on Grass. Thank you MrXsquared
    – matteo s.
    Sep 28, 2020 at 18:24
  • In any case, I was thinking to use R to create raster... I was abel to create one raster, but multiband raster seems a step further. Thank you for your help
    – matteo s.
    Sep 28, 2020 at 22:16

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