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The World Spatiotemporal Analytics and Mapping Project (WSTAMP): Further Progress in Discovering, Exploring, and Mapping Spatiotemporal Patterns Across the World’s Largest Open Source Data Sets
Spatiotemporal (ST) analytics applied to major data sources such as the World Bank and World Health Organization has shown tremendous value in shedding light on the evolution of cultural, health, economic, and geopolitical landscapes on a global level. WSTAMP engages this opportunity by situating an...
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| Main Authors: | , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2017-10-01
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| Colecção: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/199/2017/isprs-annals-IV-4-W2-199-2017.pdf |
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