Spatially explicit model of deforestation in Bolivia

A GIS compiled by the Departmental Government of Santa Cruz, Bolivia offers data that may help to resolve some competing theories of tropical deforestation. The GIS contains many attributes relating to land use at two points in time, 1989 and 1994, and allow us to address questions like: What has be...

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Detalles Bibliográficos
Autores principales: Vanclay, J.K., Kaimowitz, D., Puntodewo, A., Méndez, P.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 1999
Materias:
Acceso en línea:https://hdl.handle.net/10568/18097
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author Vanclay, J.K.
Kaimowitz, D.
Puntodewo, A.
Méndez, P.
author_browse Kaimowitz, D.
Méndez, P.
Puntodewo, A.
Vanclay, J.K.
author_facet Vanclay, J.K.
Kaimowitz, D.
Puntodewo, A.
Méndez, P.
author_sort Vanclay, J.K.
collection Repository of Agricultural Research Outputs (CGSpace)
description A GIS compiled by the Departmental Government of Santa Cruz, Bolivia offers data that may help to resolve some competing theories of tropical deforestation. The GIS contains many attributes relating to land use at two points in time, 1989 and 1994, and allow us to address questions like: What has been the impact of past road construction on deforestation and land use? What impacts might be expected from future road construction? What impact do zoning policies such as forest concessions and protected areas have? What influence do cultural factors have on forest clearing and fragmentation? We discuss our methodology and report interim results. We seek to provoke discussion on appropriate statistical procedures for such analyses.
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spelling CGSpace180972025-01-24T14:13:02Z Spatially explicit model of deforestation in Bolivia Vanclay, J.K. Kaimowitz, D. Puntodewo, A. Méndez, P. spatial analysis models deforestation geographical information systems impact A GIS compiled by the Departmental Government of Santa Cruz, Bolivia offers data that may help to resolve some competing theories of tropical deforestation. The GIS contains many attributes relating to land use at two points in time, 1989 and 1994, and allow us to address questions like: What has been the impact of past road construction on deforestation and land use? What impacts might be expected from future road construction? What impact do zoning policies such as forest concessions and protected areas have? What influence do cultural factors have on forest clearing and fragmentation? We discuss our methodology and report interim results. We seek to provoke discussion on appropriate statistical procedures for such analyses. 1999 2012-06-04T09:06:05Z 2012-06-04T09:06:05Z Book Chapter https://hdl.handle.net/10568/18097 en Vanclay, J.K., Kaimowitz, D., Puntodewo, A., Mendez, P. 1999. Spatially explicit model of deforestation in Bolivia . In: Laumonier, Y., King, B., Legg, C., and Rennolls, K. (eds.). Data Management and Modelling using Remote Sensing and GIS for Tropical Forest Land Inventory. :371-382.
spellingShingle spatial analysis
models
deforestation
geographical information systems
impact
Vanclay, J.K.
Kaimowitz, D.
Puntodewo, A.
Méndez, P.
Spatially explicit model of deforestation in Bolivia
title Spatially explicit model of deforestation in Bolivia
title_full Spatially explicit model of deforestation in Bolivia
title_fullStr Spatially explicit model of deforestation in Bolivia
title_full_unstemmed Spatially explicit model of deforestation in Bolivia
title_short Spatially explicit model of deforestation in Bolivia
title_sort spatially explicit model of deforestation in bolivia
topic spatial analysis
models
deforestation
geographical information systems
impact
url https://hdl.handle.net/10568/18097
work_keys_str_mv AT vanclayjk spatiallyexplicitmodelofdeforestationinbolivia
AT kaimowitzd spatiallyexplicitmodelofdeforestationinbolivia
AT puntodewoa spatiallyexplicitmodelofdeforestationinbolivia
AT mendezp spatiallyexplicitmodelofdeforestationinbolivia