The lat and lon are supposed to be at the centers of 12x12 kilometer grids. So there is no way to guess the vertical resolution. The dimensions of this dataframe are 3 cols, and 414 rows. 1 The x-coordinates are OK, but there is only one unique y-coordinate value. : +init=epsg:32631 +proj=utm +zone=31 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0īut throwns a warning since rst_prj does not have longitude/latitude coordinates. 1 I have a dataframe (I've named it ozone2raster) with latitude and longitude points, and values for ozone concentration that I want to use for making a rasterized map.
From the latter, you can then easily retrieve the area of the sub-polygons. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. To get area information in meters, I would recommend projecting your raster (which is obviously located somewhere in France) to EPSG:32631 (UTM zone 31N) before transforming it to 'SpatialPolygons*'. A tag already exists with the provided branch name.
I tend to use gArea from rgeos for such kind of operations since I'm typically interested in a single value rather than an entire raster layer with area information.
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