Comparisons of Statistical Approaches for Modelling Land-Use Change

Modelling Land use, Land-Use Change, and Forestry in Climate Change: A Review of major Approaches

The rapid development of climate policies and the need to understand the dynamics of climate change have highlighted and shaped the role of land use, land-use change and forestry dynamics (LULUCF), making it an issue of global importance. As a consequence, LULUCF has become a central topic in economic theory and in environmental sciences. The attention is focused on creating and expanding compr...

Land use impacts on surface water quality by statistical approaches

Surface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are positively associated with carbon, nitrogen and phosphorous related water quality parameters. Multip...

Land use change: complexity and comparisons.

Journal of Land Use Science Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t724921301 Land use change: complexity and comparisons Ronald R. Rindfuss ab; Barbara Entwisle a; Stephen J. Walsh a; Li An c; Nathan Badenoch d; Daniel G. Brown d; Peter Deadman e; Tom P. Evans f; Jefferson Fox b; Jacqueline Geoghegan ...

Dynamic land use/cover change modelling - ReadingSample

Modelling land use change and environmental impact.

Land use change models are tools for understanding and explaining the causes and consequences of land use dynamics. Recently, new models, combining knowledge and tools from biophysical and socio-economic sciences, have become available. This has resulted in spatially explicit models focussed on patterns of change as well as agent-based models focused on the underlying decision processes. These ...