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Analyzing Spatial Hierarchies in Remotely Sensed Data: Insights from a Multilevel Model of Tropical Deforestation

Vance, Colin and Iovanna, R. (2005) Analyzing Spatial Hierarchies in Remotely Sensed Data: Insights from a Multilevel Model of Tropical Deforestation. Land Use Policy, Forthcoming. Elsevier. (In Press)

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Abstract

This paper advances an empirical model assessing how changing economic and ecological conditions at different spatial scales affect land conversion decisions. We apply a multilevel econometric model to explore the implications for parameter estimates and their standard errors of ignoring hierarchical groupings in the data. The paper draws on a panel of agricultural-household data collected from a survey of Mexican farmers. A comparison of results obtained from a standard single level model reveals several stark distinctions in the estimated effects, some of which have immediate relevance for conservation policy. We conclude that the multilevel specification is warranted for alleviating issues associated with error structures inherent to spatial data.

Document Type:Article
Title:Analyzing Spatial Hierarchies in Remotely Sensed Data: Insights from a Multilevel Model of Tropical Deforestation
Authors:
AuthorsInstitution or Email of Authors
Vance, ColinUNSPECIFIED
Iovanna, R.UNSPECIFIED
Date:2005
Journal or Publication Title:Land Use Policy
Refereed publication:Yes
In ISI Web of Science:No
Volume:Forthcoming
Publisher:Elsevier
Status:In Press
Keywords:tropical deforestation, agricultural households, multilevel models, satellite data, Mexico
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V VR - Verkehrsforschung
DLR - Research theme (Project):UNSPECIFIED
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Deposited By: Andrea Dumong
Deposited On:04 Jan 2006
Last Modified:27 Apr 2009 04:51

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