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HandWiki. Land Change Modeling. Encyclopedia. Available online: https://encyclopedia.pub/entry/33469 (accessed on 11 October 2026).
HandWiki. Land Change Modeling. Encyclopedia. Available at: https://encyclopedia.pub/entry/33469. Accessed October 11, 2026.
HandWiki. "Land Change Modeling" Encyclopedia, https://encyclopedia.pub/entry/33469 (accessed October 11, 2026).
HandWiki. (2022, November 08). Land Change Modeling. In Encyclopedia. https://encyclopedia.pub/entry/33469
HandWiki. "Land Change Modeling." Encyclopedia. Web. 08 November, 2022.
Land Change Modeling
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Land change models (LCMs) describe, project, and explain changes in and the dynamics of land use and land-cover. LCMs are a means of understanding ways that humans change the Earth's surface in the past, present, and future. Land change models are valuable in development policy, helping guide more appropriate decisions for resource management and the natural environment at a variety of scales ranging from a small piece of land to the entire spatial extent. Moreover, developments within land-cover, environmental and socio-economic data (as well as within technological infrastructures) have increased opportunities for land change modeling to help support and influence decisions that affect human-environment systems, as national and international attention increasingly focuses on issues of global climate change and sustainability.

land change modeling global climate change dynamics of land use

References

  1. Brown, Daniel G. (2014). Advancing Land Change Modeling: Opportunities and Research Requirements. Washington, DC: The National Academic Press. pp. 13–14. ISBN 978-0-309-28833-0. 
  2. Briassoulis, Helen (2000). "Analysis of Land Use Change: Theoretical and Modeling Approaches". EconPapers. http://econpapers.repec.org/bookchap/rriwholbk/17.htm. 
  3. Brown, Daniel G. (2014). Advancing Land Change Modeling: Opportunities and Research Requirements. Washington, DC: The National Academic Press. pp. 21–22. ISBN 978-0-309-28833-0. 
  4. Liu, XiaoHang; Andersson, Claes (2004-01-01). "Assessing the impact of temporal dynamics on land-use change modeling". Computers, Environment and Urban Systems. Geosimulation 28 (1–2): 107–124. doi:10.1016/S0198-9715(02)00045-5.  https://dx.doi.org/10.1016%2FS0198-9715%2802%2900045-5
  5. Pérez-Vega, Azucena; Mas, Jean-François; Ligmann-Zielinska, Arika (2012-03-01). "Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest". Environmental Modelling & Software 29 (1): 11–23. doi:10.1016/j.envsoft.2011.09.011.  https://dx.doi.org/10.1016%2Fj.envsoft.2011.09.011
  6. Pan, Ying; Roth, Andreas; Yu, Zhenrong; Doluschitz, Reiner (2010-08-01). "The impact of variation in scale on the behavior of a cellular automata used for land use change modeling". Computers, Environment and Urban Systems 34 (5): 400–408. doi:10.1016/j.compenvurbsys.2010.03.003.  https://dx.doi.org/10.1016%2Fj.compenvurbsys.2010.03.003
  7. Seto, Karen C.; Kaufmann, Robert K. (2003-02-01). "Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data" (in en). Land Economics 79 (1): 106–121. doi:10.2307/3147108. ISSN 0023-7639.  https://dx.doi.org/10.2307%2F3147108
  8. Manson, Steven M. (2005-12-01). "Agent-based modeling and genetic programming for modeling land change in the Southern Yucatán Peninsular Region of Mexico". Agriculture, Ecosystems & Environment 111 (1–4): 47–62. doi:10.1016/j.agee.2005.04.024.  https://dx.doi.org/10.1016%2Fj.agee.2005.04.024
  9. Pontius Jr, Robert; Castella, Jean-Christophe; de Nijs, Ton; Duan, Zengqiang; Fotsing, Eric; Goldstein, Noah; Kasper, Kok; Koomen, Eric et al. (2018). "Lessons and Challenges in Land Change Modeling Derived from Synthesis of Cross-Case Comparisons". Trends in Spatial Analysis and Modelling. Geotechnologies and the Environment. 19. Springer International Publishing. pp. 143–164. doi:10.1007/978-3-319-52522-8_8. ISBN 978-3-319-52520-4.  https://dx.doi.org/10.1007%2F978-3-319-52522-8_8
  10. Brown, Daniel G; Verburg, Peter H; Pontius Jr, Robert Gilmore; Lange, Mark D (October 2013). "Opportunities to improve impact, integration, and evaluation of land change models". Current Opinion in Environmental Sustainability 5 (5): 452–457. doi:10.1016/j.cosust.2013.07.012.  https://dx.doi.org/10.1016%2Fj.cosust.2013.07.012
  11. Varga, Orsolya Gyöngyi; Pontius Jr, Robert Gilmore; Singh, Sudhir Kumar; Szabó, Szilárd (June 2019). "Intensity Analysis and the Figure of Merit's components for assessment of a Cellular Automata – Markov simulation model". Ecological Indicators 101: 933–942. doi:10.1016/j.ecolind.2019.01.057. ISSN 1470-160X.  https://dx.doi.org/10.1016%2Fj.ecolind.2019.01.057
  12. Pontius Jr, Robert Gilmore; Boersma, Wideke; Castella, Jean-Christophe; Clarke, Keith; de Nijs, Ton; Dietzel, Charles; Duan, Zengqiang; Fotsing, Eric et al. (2007-08-16). "Comparing the input, output, and validation maps for several models of land change". The Annals of Regional Science 42 (1): 11–37. doi:10.1007/s00168-007-0138-2. ISSN 0570-1864. https://research.vu.nl/en/publications/21cf698e-0ce1-476b-8c7a-4d5b011695b1. 
  13. Pontius Jr, Robert Gilmore; Si, Kangping (2014-01-06). "The total operating characteristic to measure diagnostic ability for multiple thresholds". International Journal of Geographical Information Science 28 (3): 570–583. doi:10.1080/13658816.2013.862623. ISSN 1365-8816.  https://dx.doi.org/10.1080%2F13658816.2013.862623
  14. Brown, Daniel (2014). Advancing Land Change Modeling: Opportunities and Research Requirements. 500 Fifth Street, N.W. Washington, DC 20001: The National Academy of Sciences. pp. 13. ISBN 978-0-309-28833-0. 
  15. Brown, Daniel G. (2014). Advancing Land Change Modeling: Opportunities and Research Requirements. Washington, DC: The National Academic Press. pp. 1. ISBN 978-0-309-28833-0. 
  16. Brown, Daniel G (2014). Advancing Land Change Modeling: Opportunities and Research Requirements. Washington, DC: The National Academic Press. pp. 7–8. ISBN 978-0-309-28833-0. 
  17. Brown, Daniel G. (2014). Advancing Land Change Modeling: Opportunities and Research Requirements. Washington, DC: The National Academic Press. pp. 90–98. ISBN 978-0-309-28833-0. 
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