Awesome

GeoData (soon to be archived! - use Rasters.jl)

GeoData.jl defines common types and methods for reading, writing and manipulating spatial data.

These currently include raster arrays like GeoTIFF and NetCDF, R grd files, multi-layered stacks, and multi-file series of arrays and stacks.

A GeoStack of EarthEnv HabitatHeterogeneity layers, trimmed to Australia and plotted with Plots.jl

Lazyness

• Data is loaded lazily wherever possible using DiskArrays.jl. Indexing a GeoStack by name is always lazy, while view of a GeoArray is lazy and getindex will load to memory. read can be used on any object to ensure that all data is loaded to memory.
• Broadcast over disk-based objects is lazy - it will only run when the array is indexed. Always prefer broadcasts to explicit loops - these can be very slow with disk-based data.

Data-source abstraction

GeoData provides a standardised interface that allows many source data types to be used with identical syntax.

• Scripts and packages building on GeoData.jl can treat AbstractGeoArray, AbstractGeoStack, and AbstrackGeoSeries as black boxes.
  • The data could hold GeoTiff or NetCDF files, Arrays in memory or CuArrays on the GPU - they will all behave in the same way.
  • AbstractGeoStack can be a Netcdf or HDF5 file, or a NamedTuple of GDALarray holding .tif files, or all GeoArray in memory.
  • Users do not have to deal with the specifics of spatial file types.
• For Projected mode you can index with any projection by setting the mappedcrs keyword on construction. You don't need to know the underlying projection, the conversion is handled automatically. This means lat/lon EPSG(4326) can be used across all sources seamlessly if you need that.
• Regions and points selected with Between and Contains select the right point or whole interval no matter the order of the index or it's position in the cell.

Named dimensions and index lookups

GeoData.jl extends DimensionalData.jl so that spatial data can be indexed using named dimensions like X, Y and Ti (time) and e.g. spatial coordinates.

Dimensions can also be used in most Base and Statistics methods like mean and reduce where dims arguments are required. Much of the behaviour is covered in the DimensionalData docs.

See the docs for more details and examples for GeoData.jl.