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TIME SERIES ANALYSIS OF SATELLITE DATA: DEFORESTATION IN SOUTHERN MEXICO AgEcon
Geoghegan, Jacqueline; Hewitt, Julie A.; Vance, Colin.
Tropical deforestation is significant to a range of themes that have relevance for the study of environmental change and economic development, including global warming, land degradation, species extinction, and sustainability issues. Recognition that both the location and pattern of forest clearance are often as important as its magnitude has motivated an increasing number of econometric studies that link satellite data and government census data with the aim of modeling the spatial dimensions of deforestation processes. Initial research focused on time series analysis, while recent work has started developing models that make use of time series data on land use. In this paper, we use satellite data from three dates over an approximate 15-year period to...
Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/22123
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ASSESSING THE JOINT INFLUENCE OF ECOLOGICAL AND SOCIOECONOMIC DETERMINANTS OF INCREASES IN THE BUILT-ENVIRONMENT: A STUDY OF TRENDS IN CENTRAL NORTH CAROLINA AgEcon
Vance, Colin; Iovanna, Rich.
This paper advances an empirical model assessing how, over both time and space, changes in land-use respond to changing economic and ecological conditions. Focusing on Central North Carolina, a region that has undergone extensive changes in forest cover and agricultural lands over the past two decades, landscape dynamics are modeled by exploiting a spatial database that links several satellite images spanning the years 1975-1999 to a suite of socioeconomic, institutional and GIS-created explanatory variables.
Tipo: Conference Paper or Presentation Palavras-chave: Environmental Economics and Policy; Land Economics/Use.
Ano: 2003 URL: http://purl.umn.edu/21983
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MODELING TROPICAL DEFORESTATION: A SURVIVAL ANALYSIS LINKING SATELLITE AND HOUSEHOLD SURVEY DATA AgEcon
Vance, Colin; Geoghegan, Jacqueline.
This research estimates a hazard model of forest conversion in southern Mexico using geographical information systems, household survey data, and satellite imagery. A utility-maximizing model consistent with agricultural frontier conditions is developed. The econometric methodology incorporates temporal dynamics into the otherwise static range of analyses possible using categorical satellite data.
Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy.
Ano: 2001 URL: http://purl.umn.edu/20501
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