forestatrisk: a Python package for modelling and forecasting deforestation in the tropics

作者: Ghislain Vieilledent

DOI: 10.21105/JOSS.02975

关键词: Statistical modelRaster graphicsPython (programming language)Scale (map)Computer scienceRemote sensingSpatial variabilityRandom effects modelDeforestation (computer science)Spatial analysis

摘要: The forestatrisk Python package can be used to model the spatial probability of deforestation and predict future forest cover in tropics. data come from georeferenced raster files, which very large (several gigabytes). functions available process rasters by blocks data, making calculations fast efficient. This allows modeled over geographic areas (e.g., at scale a country) high resolution _ 30 m). offers possibility using logistic regression with auto-correlated random effects process. make possible structure residual variability process, not explained variables often large. In addition these new features, is open source (GPLv3 license), cross-platform, scriptable (via Python), user-friendly (functions provided full documentation examples), easily extendable (with additional statistical models for example). has been 2100 across humid

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