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Linking People, Place and Policy: A GIScience Approach

Edited By: Stephen J Walsh and Kelley A Crews-Meyer

348 pages, Tabs, figs

Kluwer Academic Publishers

Hardback | Dec 2002 | #168212 | ISBN: 1402070039
Availability: Usually dispatched within 1-2 weeks Details
NHBS Price: £139.99 $182/€159 approx

About this book

Describes a breadth of research associated with the study of human-environment interactions, with particular emphasis on land use and land cover dynamics. This book examines the social, biophysical, and geographical drivers of land use and land cover patterns and their dynamics, which are interpreted within a policy-relevant context. Concepts, tools, and techniques within Geographic Information Science serve as the unifying methodological framework in which landscapes in Thailand, Ecuador, Kenya, Cambodia, China, Brazil, Nepal, and the United States are examined through analyses conducted using quantitative, qualitative, and image-based techniques.


Challenges for GIScience - Assessment of Policy Relevant Human-Environment Interactions, K.A. Crews-Meyer; Continuous and Discrete - Where They Have Met in Nang Rong, Thailand, R.R. Rindfuss, et al; Land Use Strategies in the Mara Ecosystem - A Spatial Analysis Linking Socio-Economic Data with Landscape Variables, D.M. Thompson, et al; Monitoring Land Use Change in the Pearl River Delta, China, K.C. Seto, et al; Spatial Modeling of Village Functional Territories to Support Population-Environment Linkages, T.W. Crawford; Understanding a Dynamic Landscape - Land Use, Land Cover and Resource Tenure in Northeastern Cambodia, J. Fox; The Impact of Land Titling on Tropical Forest Resources, R. Walker, et al; Spatial and Temporal Dynamics of Ownership Parcels and Forest Cover in Three Countries of northern Lower Michigan USA, 1970 to 1990, S.A. Drzyzga, D.G. Brown; Characterizing and Modelling Patterns of Deforestation and Agricultural Extensification in the Ecuadorian Amazon, S.J. Walsh, et al; Deforestation Trajectories in a Frontier Region of the Brazilian Amazon; S.D. McCraken, et al; Multi-Resolution Classification Framework for Improving Land Use/Cover Mapping, D. Chen, et al; Urban Growth in Kathmandu, Nepal: Mapping, Analysis, and Prediction, B. Haack, et al; FAO Methodologies for Land Cover Classification and Mapping, J.S. Latham, et al; Spatial Explicit Land Use Change Scenarios for Policy Purposes - Some Applications of the CLUE Framework, T. Veldkamp, P.H. Verburg.

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