AI for Geospatial Analysis

Bonnie Lei, Microsoft; Kate Longley-Wood and Zach Ferdana, The Nature Conservancy; Susanna De Beauville-Scott, Organisation of Eastern Caribbean States; and Julian Engel, OceanMind

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By incorporating massive treasure troves of emerging geospatial data feeds, marine and terrestrial scientists now have the ability to truly apply artificial intelligence to their GIS analyses. The pervasiveness of cloud computing coupled with rapidly-improving machine and deep learning algorithms are creating a new kind of GIS neural network.

Browse this gallery of StoryMaps, web mapping apps, Python notebooks, journal articles, or other digital resources supporting the science presented in this chapter of the Esri Press book GIS for Science: Maps for Saving the Planet, Volume 3.