Clinton Oyogo-Engineering Large-scale geospatial raster processing with xarray + dask-PyData Global скачать в хорошем качестве

Clinton Oyogo-Engineering Large-scale geospatial raster processing with xarray + dask-PyData Global

Geospatial analysis often involves harmonizing and processing raster datasets from diverse sources with varying resolutions, coordinate systems, and data formats. This talk demonstrates how you can build efficient, scalable pipelines for zonal statistics extraction using Python’s scientific computing stack, xarray, and dask to handle rasters that would otherwise overwhelm traditional processing approaches. Through a real-world case study of processing multi-source geospatial data for small-area estimation of poverty, we’ll explore practical strategies for memory-efficient raster harmonization, parallel computing workflows, and automated statistical aggregation across administrative boundaries.