Rasters.jl - Raster Data and GIS Tools for Julia

Explore the capabilities of Rasters.jl, a Julia package for handling raster data and GIS tools, in this conference talk from JuliaCon 2024. Learn how Rasters.jl enhances missing-value handling, coordinate reference system tracking, and lazy operations on large arrays. Discover its ability to work with various data sources, including GeoTiff, NetCDF, and GPU arrays, while providing consistent behavior for spatial indexing, manipulation, and plotting. Gain insights into the package's GIS tools for raster manipulation, such as aggregation, mosaicking, cropping, extending, trimming, resampling, rasterization, value extraction, zonal statistics, and masking. Understand the advantages of Rasters.jl over similar packages in R or Python, including its native Julia implementation for fast operations on geometry objects and integration with DiskArrays for efficient handling of larger-than-memory arrays. Learn how Raster objects maintain standard Array behavior while retaining spatial metadata and dimensional indexing capabilities, making them compatible with various Julia ecosystem tools and plotting libraries.