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Raster manipulation for the Julia language

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Always throw an error with unused keywords

We need to facilitate passing a weights matrix to correct zonal statistics for lat/lon etc

Hi there, I'm trying to read a collection of tiff files using a *.vrt, ```julia using Rasters path = "file.vrt" Merit_raster = Raster(path) ``` but I got the following error:...

- [x] coordinate transformations/affine maps - [ ] matrix lookups - [ ] detect and set up on gdal/ncdatasets import

Hi, I am doing a project on nighttime lights. I am moving my code from Python to Julia. I had performed zonal statistics in a specific case in both Julia...

The following error is produced when reading 2d lat/lon data .eg. [test.nc](https://cloudstor.aarnet.edu.au/plus/s/QuzKe9tg8YIfcZF) ```julia julia> Rasters("test.nc", key = :landmask) julia> Raster(mu; key= :landmask) typeof(index) = Matrix{Float32} ERROR: StackOverflowError: Stacktrace: [1] isrev(x::Type)...

Need to cite the package, but there is no information on it.

Actually a lot of things dont work: - `extend` somehow breaks during broadcast. broadcast should always work so this is two problems - `mask` fails with a not `isbits` field...

```julia using Rasters, Plots url = "https://www.unidata.ucar.edu/software/netcdf/examples/tos_O1_2001-2002.nc"; filename = download(url, "tos_O1_2001-2002.nc"); A = Raster(filename) ``` now runing ```julia julia> dims(A[:,end:-1:1,:]) X Mapped Float64[1.0, 3.0, …, 357.0, 359.0] ForwardOrdered Explicit Intervals...

We eventually need to be able to convert metadata between concrete types. - [x] metadata wrapper - [ ] metadata conversion when saving to another format - [ ] define...