Using spatial statistics to identify emerging hot spots of forest loss

Environmental Research Letters

Volumn 12, Issue 2, 2017, Pages

  Harris, Nancy L ^a   Goldman, Elizabeth ^a   Gabris, Christopher ^b   Nordling, Jon ^b   Minnemeyer, Susan ^a   Ansari, Stephen ^b   Lippmann, Michael ^b   Bennett, Lauren ^c   Raad, Mansour ^c   Hansen, Matthew ^d   Potapov, Peter ^d  

^a WORLD RESOURCES INSTITUTE   (United States)

^b Blue Raster   (United States)

^c ESRI   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

Author keywords

Brazil; deforestation; Democratic Republic of Congo; Indonesia; spatial statistics

Indexed keywords

BIG DATA; DEFORESTATION; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE;

BRAZIL; CONTEXTUAL INFORMATION; DEMOCRATIC REPUBLIC OF CONGO; INDONESIA; SPATIAL STATISTICS; SPATIOTEMPORAL PATTERNS; SPATIOTEMPORAL TRENDS; STATISTICAL DATA MODEL;

FORESTRY;

BIOME; CERRADO; DEFORESTATION; FOREST ECOSYSTEM; FOREST RESOURCE; GIS; LAND USE PLANNING; RESOURCE ALLOCATION; SPATIOTEMPORAL ANALYSIS; STATISTICAL DATA;

AMAZONIA; BRAZIL; DEMOCRATIC REPUBLIC CONGO; INDONESIA; MATO GROSSO; RIAU; RONDONIA; WEST KALIMANTAN;

NIA;

EID: 85015734817     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/aa5a2f     Document Type: Article

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