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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...

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Detalles Bibliográficos
Autores principales: Deng, Xiangzheng, Su, Hongbo, Zhan, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
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.
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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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