Wildfire risk prediction in Southeastern Mississippi using population interaction
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DOI: 10.1016/j.ecolmodel.2012.12.024
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References listed on IDEAS
- Manfred M. Fischer & Jinfeng Wang, 2011. "Spatial Data Analysis," SpringerBriefs in Regional Science, Springer, number 978-3-642-21720-3, March.
- van Bergeijk,Peter A. G. & Brakman,Steven (ed.), 2010. "The Gravity Model in International Trade," Cambridge Books, Cambridge University Press, number 9780521196154, November.
- Daniel Griffith, 2009. "Modeling spatial autocorrelation in spatial interaction data: empirical evidence from 2002 Germany journey-to-work flows," Journal of Geographical Systems, Springer, vol. 11(2), pages 117-140, June.
- Romero-Calcerrada, R. & Barrio-Parra, F. & Millington, J.D.A. & Novillo, C.J., 2010. "Spatial modelling of socioeconomic data to understand patterns of human-caused wildfire ignition risk in the SW of Madrid (central Spain)," Ecological Modelling, Elsevier, vol. 221(1), pages 34-45.
- Daniel A. Griffith, 2009. "Spatial Autocorrelation in Spatial Interaction," Advances in Spatial Science, in: Aura Reggiani & Peter Nijkamp (ed.), Complexity and Spatial Networks, chapter 0, pages 221-237, Springer.
- David F. Batten, 2001. "Complex landscapes of spatial interaction," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(1), pages 81-111.
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Cited by:
- Qingqing Ye & Jiwei Li & Xuesong Kong & Shaokai Zhang, 2021. "Identification and Optimization of the Spatial Structure of Urban and Rural Settlements from a Hierarchical Network Perspective," Land, MDPI, vol. 10(11), pages 1-21, November.
- Van Butsic & Maggi Kelly & Max A. Moritz, 2015. "Land Use and Wildfire: A Review of Local Interactions and Teleconnections," Land, MDPI, vol. 4(1), pages 1-17, February.
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Keywords
Newton's Gravity model; Spatial interaction; Wildfire potential;All these keywords.
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