Replication Datasets and original data from my projects.
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51 to 54 of 54 Results
Indonesian Watersheds Dataverse(Salisbury University)
Oct 25, 2015
The Indonesian basins projects attempts to define all upstream "census" unit (DESA) in Indonesia for each individual DESA.
CGMFC-21, MFW, Global Mangrove Levels by Pixel (~30m), 2000 - 2012
Sep 3, 2015
Hamilton, Stuart, 2015, "CGMFC-21, MFW, Global Mangrove Levels by Pixel (~30m), 2000 - 2012", https://doi.org/10.7910/DVN/HKGBGS, Harvard Dataverse, V3
Please visit bit.ly/1lMJ9zj for full information before downloading. These data are one version of the GIS global mangrove database (MFW). It is 30 m pixel with global coverage annually from 2000 to 2012. Data are mangrove loss in the mangrove biome since 2000 as defined by MFW. CGMFC-21 provides high resolution local, regional, national, and globa...
Replication Data for: Mangrove forest to shrimp farm conversion in Indonesia from 2000 to 2012
Sep 2, 2015
Hamilton, Stuart, 2015, "Replication Data for: Mangrove forest to shrimp farm conversion in Indonesia from 2000 to 2012", https://doi.org/10.7910/DVN/VG1IX3, Harvard Dataverse, V1
Between 2000 and 2012, Indonesia lost 3.11% of its mangrove forest area (Hamilton and Casey 2014). This is substantially higher than the 1.97% global average. This is problematic as Indonesia contains approximately 28% of the world’s mangrove forest. To put this in perspective, Indonesia’s 21st Century mangrove loss is more mangrove forest than act...
Replication Data for: Fluid Borders: Rethinking Historical Geography and Fixed Map Boundaries in Contested Regions
Sep 2, 2015
Hamilton, Stuart, 2015, "Replication Data for: Fluid Borders: Rethinking Historical Geography and Fixed Map Boundaries in Contested Regions", https://doi.org/10.7910/DVN/RKGTO8, Harvard Dataverse, V1
Fluid Borders: Rethinking Historical Geography and Fixed Map Boundaries in Contested Region. This is the replication dataset for the paper listed above. It contains the non-generalized map boundaries with locator IDs for each map in our sample.
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