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Original Articles

Sensitivity of a stochastic land-cover change model to pixel versus polygonal land units

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Pages 738-762 | Received 23 May 2016, Accepted 25 Aug 2016, Published online: 11 Sep 2016

References

  • Alexandridis, K. and Pijanowski, B.C., 2007. Assessing multiagent parcelization performance in the MABEL simulation model using Monte Carlo replication experiments. Environment and Planning B: Planning and Design, 34 (2), 223–244. doi:10.1068/b31181
  • Ballestores Jr., F. and Qiu, Z.Y., 2012. An integrated parcel-based land use change model using cellular automata and decision tree. Proceedings of the International Academy of Ecology and Environmental Sciences, 2 (2), 53–69.
  • Brown, D.G., et al., 2002. Stochastic simulation of land-cover change using geostatistics and generalized additive models. Photogrammetric Engineering & Remote Sensing, 68 (10), 1501–1061.
  • Brown, D.G., et al., 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
  • Burnicki, A.C., Brown, D.G., and Goovaerts, P., 2007. Simulating error propagation in land-cover change analysis: the implications of temporal dependence. Computers, Environment and Urban Systems, 31 (3), 282–302. doi:10.1016/j.compenvurbsys.2006.07.005
  • US Census Bureau, 2010. Census 2010 [online]. US Census Bureau. Available from: http://quickfacts.census.gov/qfd/states/13/13135.html [Accessed 16 May 2015].
  • Chen, Y., et al., 2014. Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy. International Journal of Geographical Information Science, 28 (2), 234–255. doi:10.1080/13658816.2013.831868
  • Courbaud, B., et al., 2001. Evaluating thinning strategies using a tree distance dependent growth model: Some examples based on the CAPSIS software ‘uneven-aged spruce forests’ module. Forest Ecology and Management, 145, 15–28. doi:10.1016/S0378-1127(00)00571-5
  • Crooks, A., 2010. Constructing and implementing an agent-based model of residential segregation through vector GIS. International Journal of Geographical Information Science, 24 (5), 661–675. doi:10.1080/13658810903569572
  • Dahal, K.R. and Chow, T.E., 2014. A GIS toolset for automated partitioning of urban lands. Environmental Modelling & Software, 55, 222–234. doi:10.1016/j.envsoft.2014.01.024
  • Donnelly, S. and Evans, T.P., 2008. Characterizing spatial patterns of land ownership at the parcel level in south-central Indiana, 1928–1997. Landscape and Urban Planning, 84 (3–4), 230–240. doi:10.1016/j.landurbplan.2007.08.004
  • Duh, J.-D. and Brown, D.G., 2007. Knowledge-informed Pareto simulated annealing for multi-objective spatial allocation. Computers, Environment and Urban Systems, 31 (3), 253–281. doi:10.1016/j.compenvurbsys.2006.08.002
  • Ellis, E.C., et al., 2006. Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery. Remote Sensing of Environment, 100 (4), 457–473. doi:10.1016/j.rse.2005.11.002
  • Evans, T.P. and Kelley, H., 2004. Multi-scale analysis of a household level agent-based model of landcover change. Journal of Environmental Management, 72 (1–2), 57–72.
  • Foley, J.A., et al., 2005. Global consequences of land use. Science, 309 (5734), 570–574. doi:10.1126/science.1111772
  • Frate, L., et al., 2014. Quantifying forest spatial pattern trends at multiple extents: an approach to detect significant changes at different scales. Remote Sensing, 6 (10), 9298–9315. doi:10.3390/rs6109298
  • Fry, J.A., et al., 2008. Completion of the national land cover database (NLCD) 1992–2001 land cover change retrofit product. US Geological Survey Open-File Report, 1379, 18.
  • García, A.M., et al., 2012. A comparative analysis of cellular automata models for simulation of small urban areas in Galicia, NW Spain. Computers, Environment and Urban Systems, 36, 291–301. doi:10.1016/j.compenvurbsys.2012.01.001
  • Gaucherel, C., et al., 2004. Forest modelling based on landscape ecology concepts. In: R. Smithers, ed. Landscape ecology of trees and forests. Proceedings of the twelfth annual IALE (UK) conference, 21–24 June 2004, Cirencester, UK, 309–312.
  • Gaucherel, C., et al., 2006a. Neutral models for patchy landscapes. Ecological Modelling, 197, 159–170. doi:10.1016/j.ecolmodel.2006.02.044
  • Gaucherel, C., et al., 2006b. A domain-specific language for patchy landscape modelling: the Brittany agricultural mosaic as a case study. Ecological Modelling, 194 (1–3), 233–243. doi:10.1016/j.ecolmodel.2005.10.026
  • Hastie, T. and Tibshirani, R., 1986. Generalized additive models. Statistical Science, 1 (3), 297–310.
  • Herold, M., Scepan, J., and Clarke, K.C., 2002. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A, 34 (8), 1443–1458. doi:10.1068/a3496
  • Homer, C., et al., 2015. Completion of the 2011 national land cover database for the conterminous United States – representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, 81 (5), 346–354.
  • Houet, T., et al., 2010. Exploring subtle land use and land cover changes: a framework for future landscape studies. Landscape Ecology, 25 (2), 249–266. doi:10.1007/s10980-009-9362-8
  • Le Ber, F., et al., 2009. Neutral modelling of agricultural landscapes by tessellation methods-application for gene flow simulation. Ecological Modelling, 220 (24), 3536–3545. doi:10.1016/j.ecolmodel.2009.06.019
  • Li, X., et al., 2013. Calibrating cellular automata based on landscape metrics by using genetic algorithms. International Journal of Geographical Information Science, 27 (3), 594–613. doi:10.1080/13658816.2012.698391
  • Mas, J.-F., et al., 2014. Inductive pattern-based land use/cover change models: a comparison of four software packages. Environmental Modelling & Software, 51, 94–111. doi:10.1016/j.envsoft.2013.09.010
  • Mas, J.-F., Pérez-Vega, A., and Clarke, K.C., 2012. Assessing simulated land use/cover maps using similarity and fragmentation indices. Ecological Complexity, 11, 38–45. doi:10.1016/j.ecocom.2012.01.004
  • McGarigal, K., et al., 2012. FRAGSTATS v4: spatial pattern analysis program for categorical and continuous maps. Amherst, MA: University of Massachusettes. Available from: http://www.umass.edu/landeco/research/fragstats/fragstats.html
  • Meentemeyer, R.K., et al., 2013. FUTURES: multilevel simulations of emerging urban–rural landscape structure using a stochastic patch-growing algorithm. Annals of the Association of American Geographers, 103, 785–807. doi:10.1080/00045608.2012.707591
  • Mehmood, S. and Zhang, D., 2001. Forest parcelization in the United States: a study of contributing factors. Journal of Forestry, 99 (4), 30–34.
  • Moreno, N., Ménard, A., and Marceau, D.J., 2008. VecGCA: a vector-based geographic cellular automata model allowing geometric transformations of objects. Environment and Planning B: Planning and Design, 35 (4), 647–665. doi:10.1068/b33093
  • Moulds, S., Buytaert, W., and Mijic, A., 2015. An open and extensible framework for spatially explicit land use change modelling in R: the lulccR package (0.1.0). Geoscientific Model Development Discussions, 8 (4), 3359–3402. doi:10.5194/gmdd-8-3359-2015
  • NRC, 2013. Advancing land change modeling: opportunities and research requirements. Washington, DC: The National Academies Press.
  • Paegelow, M., et al., 2013. Land change modelling: moving beyond projections. International Journal of Geographical Information Science, 27, 1691–1695. doi:10.1080/13658816.2013.819104
  • Paeth, H., et al., 2009. Regional climate change in tropical and Northern Africa due to greenhouse forcing and land use changes. Journal of Climate, 22 (1), 114–132. doi:10.1175/2008JCLI2390.1
  • Parker, D.C., et al., 2003. Multi-agent systems for the simulation of land-use and land-cover change: a review. Annals of the Association of American Geographers, 93 (2), 314–337. doi:10.1111/1467-8306.9302004
  • Pontius, R.G., et al., 2008. 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
  • Pontius, R.G., Peethambaram, S., and Castella, J.-C., 2011. Comparison of three maps at multiple resolutions: a case study of land change simulation in Cho Don District, Vietnam. Annals of the Association of American Geographers, 101 (1), 45–62. doi:10.1080/00045608.2010.517742
  • R Development Core Team, 2014. R: a language and environment for statistical computing [online]. R Foundation for Statistical Computing. Available from: http://www.r-project.org [Accessed 10 Dec 2015].
  • Seto, K.C. and Fragkias, M., 2005. Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology, 20 (7), 871–888. doi:10.1007/s10980-005-5238-8
  • Sohl, T.L., et al., 2007. The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling. Journal of Land Use Science, 2 (2), 103–126. doi:10.1080/17474230701218202
  • Stevens, D. and Dragićević, S., 2007. A GIS-based irregular cellular automata model of land-use change. Environment and Planning B: Planning and Design, 34 (4), 708–724. doi:10.1068/b32098
  • Tong, S.T.Y. and Chen, W., 2002. Modeling the relationship between land use and surface water quality. Journal of Environmental Management, 66 (4), 377–393. doi:10.1006/jema.2002.0593
  • USDA NRCS, 2015. Soil survey geographic (SSURGO) database for [U.S.] [online]. United States Department of Agriculture. Available from: http://soildatamart.nrcs.usda.gov [Accessed 20 November 2015].
  • Vanegas, C.A., et al., 2012. Procedural generation of parcels in urban modeling. Computer Graphics Forum, 31 (2pt3), 681–690. doi:10.1111/j.1467-8659.2012.03047.x
  • Verburg, P.H. and Overmars, K.P., 2007. Dynamic simulation of land-use change trajectories with the CLUE-s model. In: E. Koomen et al., ed. Modelling land-use change. Dordrecht: Springer, 321–337.
  • Verburg, P.H., et al., 2004. Land use change modelling: current practice and research priorities. GeoJournal, 61 (4), 309–324. doi:10.1007/s10708-004-4946-y
  • White, R., 2006. Pattern based map comparisons. Journal of Geographical Systems, 8 (2), 145–164. doi:10.1007/s10109-006-0026-9
  • White, R., Engelen, G., and Uljee, I., 1997. Cellular automata as the basis of integrated dynamic regional modelling. Environment and Planning B: Planning and Design, 24 (2), 235–246. doi:10.1068/b240235
  • Wood, S.N., 2001. mgcv: GAMs and generalized ridge regression for R. R News, 1 (2), 20–25.
  • Wood, S.N., 2006. Generalized additive models: an introduction with R. Texts in Statistical Science, xvii, 392.

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