Linking People, Place, and Policy: A Giscience Approach

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Stephen J. Walsh, Kelley A. Crews-Meyer
Springer Science & Business Media, Apr 30, 2002 - Business & Economics - 348 pages
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Linking People, Place, and Policy: A GIScience Approach 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.

Linking People, Place, and Policy: A GIScience Approach addresses a need for a comprehensive and rigorous treatment of GIScience for research and study within the context of human-environment interactions. The human dimensions research community, land use and land cover change programs, and human and landscape ecology communities, among others, are collectively viewing the landscape within a spatially-explicit perspective, where people are viewed as agents of landscape change that shape and are shaped by the landscape, and where landscape form and function are assessed within a space-time context. This book articulates some of these challenges and opportunities.

 

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Contents

Abbrieviated Profiles
1
Where They Have Met in Nang Rong
7
Spatial and Temporal Dynamics of Ownership Parcels and Forest
8
A Spatial Analysis
39
Monitoring Land Use Change in the Pearl River Delta China
69
Spatial Modeling of Village Functional Territories to Support
91
Land Use Land Cover
113
The Impact of Land Titling on Tropical Forest Resources
131
Scott A Drzyzga Daniel G Brown
155
Characterizing and Modeling Patterns of Deforestation
187
Deforestation Trajectories in a Frontier Region of the Brazilian
215
MultiResolution Classification Framework for Improving Land
235
Mapping Analysis
263
FAO Methodologies for Land Cover Classification and Mapping
283
Index
343
Copyright

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Page 281 - L., 1990, Knowledge-based classification of an urban area using texture and context information in Landsat-TM imagery, Photogrammetric Engineering and Remote Sensing, 56, 899-904.
Page 340 - Fresco, 1997. Exploring land use scenarios, an alternative approach based on actual land use.