Linking People, Place, and Policy

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.

Klappentext

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.

Inhalt

1. Challenges for GIScience: Assessment of Policy Relevant Human-Environment Interactions.- 2. Continuous and Discrete: Where They Have Met in Nang Rong, Thailand.- 3. Land Use Strategies in the Mara Ecosystem: A Spatial Analysis Linking Socio-Economic Data with Landscape Variables.- 4. Monitoring Land Use Change in the Pearl River Delta, China.- 5. Spatial Modeling of Village Functional Territories to Support Population-Environment Linkages.- 6. Understanding a Dynamic Landscape: Land Use, Land Cover and Resource Tenure in Northeastern Cambodia.- 7. The Impact of Land Titling on Tropical Forest Resources.- 8. Spatial and Temporal Dynamics of Ownership Parcels and Forest Cover in Three Counties of northern Lower Michigan USA, ca. 1970 to 1990.- 9. Characterizing and Modeling Patterns of Deforestation and Agricultural Extensification in the Ecuadorian Amazon.- 10. Deforestation Trajectories in a Frontier Region of the Brazilian Amazon.- 11. Multi-Resolution Classification Framework for Improving Land Use / Cover Mapping.- 12. Urban Growth in Kathmandu, Nepal: Mapping, Analysis, and Prediction.- 13. FAO Methodologies for Land Cover Classification and Mapping.- 14. Spatial Explicit Land Use Change Scenarios for Policy Purposes: Some Applications of the CLUE Framework.