Agent-Based Modelling and Landscape Change
The use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationshi...
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| Principais autores: | , |
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| Formato: | Online |
| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Assuntos: | |
| Acesso em linha: | 19818 |
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| _version_ | 1869520995629400064 |
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| author | James Millington (Ed.) John Wainwright (Ed.) |
| author_browse | James Millington (Ed.) John Wainwright (Ed.) |
| author_facet | James Millington (Ed.) John Wainwright (Ed.) |
| author_sort | James Millington (Ed.) |
| collection | Directory of Open Access Books |
| description | The use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationships and interactions between one another and their environment, through time and across space. This collection showcases innovative uses of ABMs for investigating and explaining landscape change and dynamics and to explore and identify how researchers in different disciplines can learn from one another to further innovate. The diverse range of processes and landscapes that ABMs are currently used to examine is clearly demonstrated, including: land-use decision making in agricultural landscapes; soil erosion in semi-arid environments; forest change in mountainous landscapes; trade in 1st Century BC southern France; social adaptations of herders in northern Mongolia; and malaria epidemiology in Kenya. A range of agent-based representation is used from the implied presence of agents, through comparing heterogeneous vs. aggregated representation of human activity, to alternative means of parameterizing individual agent behaviour. The collection will be of interest to all interested in innovative agent-based modelling for understanding landscape change, its causes and consequences for sustainability in the Anthropocene. |
| format | Online |
| id | doab-20.500.12854ir-40457 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-404572024-04-09T11:42:16Z Agent-Based Modelling and Landscape Change James Millington (Ed.) John Wainwright (Ed.) G1-922 innovation landscape change agent-based models simulation spatial modelling interdisciplinary thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography The use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationships and interactions between one another and their environment, through time and across space. This collection showcases innovative uses of ABMs for investigating and explaining landscape change and dynamics and to explore and identify how researchers in different disciplines can learn from one another to further innovate. The diverse range of processes and landscapes that ABMs are currently used to examine is clearly demonstrated, including: land-use decision making in agricultural landscapes; soil erosion in semi-arid environments; forest change in mountainous landscapes; trade in 1st Century BC southern France; social adaptations of herders in northern Mongolia; and malaria epidemiology in Kenya. A range of agent-based representation is used from the implied presence of agents, through comparing heterogeneous vs. aggregated representation of human activity, to alternative means of parameterizing individual agent behaviour. The collection will be of interest to all interested in innovative agent-based modelling for understanding landscape change, its causes and consequences for sustainability in the Anthropocene. 2021-02-11T07:55:31Z 2021-02-11T07:55:31Z 2016-10-13 14:09:44 2016 book 19818 9783038422815 9783038422808 https://directory.doabooks.org/handle/20.500.12854/40457 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International http://www.mdpi.com/books/pdfview/book/225 http://www.mdpi.com/books/pdfview/book/225 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03842-281-5 10.3390/books978-3-03842-281-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038422815 9783038422808 XII, 314 open access |
| spellingShingle | G1-922 innovation landscape change agent-based models simulation spatial modelling interdisciplinary thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography James Millington (Ed.) John Wainwright (Ed.) Agent-Based Modelling and Landscape Change |
| title | Agent-Based Modelling and Landscape Change |
| title_full | Agent-Based Modelling and Landscape Change |
| title_fullStr | Agent-Based Modelling and Landscape Change |
| title_full_unstemmed | Agent-Based Modelling and Landscape Change |
| title_short | Agent-Based Modelling and Landscape Change |
| title_sort | agent based modelling and landscape change |
| topic | G1-922 innovation landscape change agent-based models simulation spatial modelling interdisciplinary thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| topic_facet | G1-922 innovation landscape change agent-based models simulation spatial modelling interdisciplinary thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| url | 19818 |
| work_keys_str_mv | AT jamesmillingtoned agentbasedmodellingandlandscapechange AT johnwainwrighted agentbasedmodellingandlandscapechange |