Spatial raster time-series forecasting with 8 curated models, automatic grid harmonisation, validation diagnostics and publication-quality figures.
SpatialForecast applies forecasting independently across raster pixels or aggregated spatial blocks. It harmonises mismatched raster grids to a common aligned reference before modelling and produces forecast rasters, diagnostics, statistics and publication-ready graphs. Developed by Zainab Khan and Siddhartha Khare, Geospatial Engineering Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, India.
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