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People and the Environment: Approaches for Linking Household and Community Surveys to Remote Sensing and GIS appeals to a wide range of natural, social, and spatial scientists with interests in conducting population and environment research and thereby characterizing land use and land cover dynamics through remote sensing, demographic and socio-economic variables through household and community surveys, and local site and situation through resource endowments, geographical accessibility, and connections of people to place through GIS. Case studies are used to examine theories and practices useful in linking people and the environment. We also describe land use and land cover dynamics and the associated social, biophysical, and geographical drivers of change articulated through human-environment interactions.
List of Figures. List of Tables. List of Contributors. Foreword. Acknowledgements. 1. Linking Household and Remotely Sensed Data: Methodological and Practical Problems; R.R. Rindfuss, et al. 2. Land-Cover and Land-Use Change (LCLUC) in the Southern Yucatan Peninsular Region (SYPR): An Integrated Approach; B.L. Turner II, J. Geoghegan. 3. Household Demographic Structure and Its Relationship to Deforestation in the Amazon Basin; E.F. Moran, et al. 4. Integration of Longitudinal Surveys, Remote Sensing Time Series, and Spatial Analyses: Approaches for Linking People and Place; S.J. Walsh, et al. 5. Household-Parcel Linkages in Nang Rong, Thailand: Challenges of Large Samples; R.R. Rindfuss, et al. 6. Linking Pastoralists to a Heterogeneous Landscape: The Case of Four Maasai Group Ranches in Kajiado District, Kenya; S.B. BurnSilver, et al. 7. Linking Household and Remotely Sensed Data for Understanding Forest Fragmentation in Northern Vietnam; J. Fox. 8. Linking Socioeconomic and Remotely Sensing Data at the Community or at the Household Level: Two Case Studies from Africa; E.F. Lambin. 9. Human Impacts on Land Cover and Panda Habitat in Wolong Nature Reserve: Linking Ecological, Socioeconomic, Demographic, and Behavioral Data; Jianguo Liu, et al. 10. Habitats, Hierarchical Scales, and Nonlinearities: An Ecological perspective on Linking Household and Remotely Sensed Data on Land-Cover/Use Change; G.P. Malanson. 11. Linking People and Land Use: A Sociological Perspective; W.G. Axinn, J.S. Barber.