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Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems
In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the rela...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927519/ https://www.ncbi.nlm.nih.gov/pubmed/27879726 |
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author | Deng, Xiangzheng Su, Hongbo Zhan, Jinyan |
author_facet | Deng, Xiangzheng Su, Hongbo Zhan, Jinyan |
author_sort | Deng, Xiangzheng |
collection | PubMed |
description | In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the relationship between land uses and influencing factors, a scenario analysis module of the land uses of a region during the simulation period and a spatial disaggregation module, to allocate land use changes from a regional level to disaggregated grid cells. A case study on Taips County in North China is incorporated in this paper to test the functionality of DLS. The simulation results under the baseline, economic priority and environmental scenarios help to understand the land system dynamics and project near future land-use trajectories of a region, in order to focus management decisions on land uses and land use planning. |
format | Online Article Text |
id | pubmed-3927519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-39275192014-02-18 Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems Deng, Xiangzheng Su, Hongbo Zhan, Jinyan Sensors (Basel) Full Research Paper In this paper we present and develop a new model, which we have called Dynamics of Land Systems (DLS). The DLS model is capable of integrating multiple data sources to simulate the dynamics of a land system. Three main modules are incorporated in DLS: a spatial regression module, to explore the relationship between land uses and influencing factors, a scenario analysis module of the land uses of a region during the simulation period and a spatial disaggregation module, to allocate land use changes from a regional level to disaggregated grid cells. A case study on Taips County in North China is incorporated in this paper to test the functionality of DLS. The simulation results under the baseline, economic priority and environmental scenarios help to understand the land system dynamics and project near future land-use trajectories of a region, in order to focus management decisions on land uses and land use planning. Molecular Diversity Preservation International (MDPI) 2008-02-04 /pmc/articles/PMC3927519/ /pubmed/27879726 Text en © 2008 by MDPI Reproduction is permitted for noncommercial purposes. |
spellingShingle | Full Research Paper Deng, Xiangzheng Su, Hongbo Zhan, Jinyan Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems |
title | Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems |
title_full | Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems |
title_fullStr | Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems |
title_full_unstemmed | Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems |
title_short | Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems |
title_sort | integration of multiple data sources to simulate the dynamics of land systems |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927519/ https://www.ncbi.nlm.nih.gov/pubmed/27879726 |
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