Performance evaluation of land change simulation models using landscape metrics

References

• Al-Ahmadi K, See L, Heppenstall A, Hogg J. 2009. Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia. Ecol Complexity. 6:80–101.10.1016/j.ecocom.2008.09.004
   Web of Science ®Google Scholar
• Anderson JR. 1976. A land use and land cover classification scheme for use with remote sensor data. Washington, DC: U.S. Geological Survey Professional Paper 964.
   Google Scholar
• Arnot C, Fisher PF, Wadsworth R, Wellens J. 2004. Landscape metrics with ecotones: pattern under uncertainty. Landscape Ecol. 19:181–195.10.1023/B:LAND.0000021723.24247.ee
   Web of Science ®Google Scholar
• Asgarian A, Amiri BJ, Sakieh Y. 2014. Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach. Urban Ecosyst. 18:209–222.
   Web of Science ®Google Scholar
• Batty M, Xie Y, Sun Z. 1999. Modeling urban dynamics through GIS-based cellular automata. Comput Environ Urban Syst. 23:205–233.10.1016/S0198-9715(99)00015-0
   Google Scholar
• Behzadi S, Alesheikh AA. 2013. Introducing a novel model of belief-desire-intention agent for urban land use planning. Eng Appl Artif Intell. 26:2028–2044.10.1016/j.engappai.2013.06.015
   Web of Science ®Google Scholar
• Benito PR, Cuevas JA, Bravo R, Garcia-del-Barrio JM, Zavala MA. 2010. Land use change in a Mediterranean metropolitan region and its periphery: assessment of conservation policies through CORINE land cover data and Markov models. For Syst. 19:315–328.10.5424/fs/2010193-8604
   Web of Science ®Google Scholar
• Botequila Al, Miller J, Ahem J, Mcgarical K. 2006. Measuring landscapes : a planner’s handbook. Washington, DC: Island Press; p. 272.
   Google Scholar
• Braimoh AK, Onishi T. 2007. Geostatistical techniques for incorporating spatial correlation into land use change models. Int J Appl Earth Obs Geoinf. 9:438–446.10.1016/j.jag.2007.02.005
   Web of Science ®Google Scholar
• Burrough PA. 1996. Natural objects with indeterminate boundaries. In: Burrough PA, Frank AU, editors. Spatial conceptual models for geographic objects with undetermined boundaries. London: Taylor & Francis; p. 3–28.
   Google Scholar
• Ceccarelli T, Bajocco S, Luigi Perini L, Salavati L. 2014. Urbanisation and land take of high quality agricultural soils – exploring long-term land use changes and land capability in northern Italy. Int J Environ Res. 8:181–192.
   Web of Science ®Google Scholar
• Chapman A, Muñoz M, Koch I. 2005. Environmental information: placing biodiversity phenomena in an ecological and environmental context. Biodivers Inf. 2:24–41.
   Google Scholar
• Clarke KC, Hoppen S, Gaydos L. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environ Planning B. 24:247–261.10.1068/b240247
   Web of Science ®Google Scholar
• Congalton RG. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ. 37:35–46.10.1016/0034-4257(91)90048-B
   Web of Science ®Google Scholar
• Congalton RG, Green K. 2009. Assessing the accuracy of remotely sensed data: principles and practices. 2nd ed. Boca Raton: Taylor & Francis Group; 183 pp.
   Google Scholar
• Cushman SA, McGarigal K, Neel MC. 2008. Parsimony in landscape metrics: strength, universality, and consistency. Ecol Indic. 8:691–703.10.1016/j.ecolind.2007.12.002
   Web of Science ®Google Scholar
• Dezhkam S. 2013. Analysis of trend and pattern of urban growth using landscape ecology approach (case study: Rasht county) [dissertation]. University of Tehran.
   Google Scholar
• Dezhkam S, Amiri BJ, Darvishsefat AA, Sakieh Y. 2013. Simulating urban growth dimensions and scenario prediction: a case study of Rasht county, Guilan, Iran. Geojournal. 79:591–604.
   Google Scholar
• DiBari JN. 2007. Evaluation of five landscape-level metrics for measuring the effects of urbanization on landscape structure: the case of Tucson, Arizona. Landscape Urban Planning. 79:308–313.10.1016/j.landurbplan.2006.04.004
   Web of Science ®Google Scholar
• Dietzel C, Herold M, Hemphill JJ, Clarke KC. 2005. Spatiotemporal dynamics in California’s Central Valley: empirical links to urban theory. Int J Geogr Inf Sci. 19:175–195.10.1080/13658810410001713407
   Web of Science ®Google Scholar
• Eastman JR. 2006. IDRISI 15: the Andes edition. Worcester, MA: Clark University.
   Google Scholar
• Fahrig L. 2002. Effects of habitat fragmentation on the extinction threshold: a synthesis. Ecol Appl. 12:346–353.
   Web of Science ®Google Scholar
• Fan C, Myint S. 2014. A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation. Landscape Urban Planning. 121:117–128.
   Web of Science ®Google Scholar
• Farina A. 2006. Principles and methods in landscape ecology: toward a science of landscape. Netherland: Springer publication; p. 412.
   Google Scholar
• Feng Y, Liu Y, Tong X, Liu M, Susu D. 2011. Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landscape Urban Planning. 102:188–196.10.1016/j.landurbplan.2011.04.004
   Web of Science ®Google Scholar
• Forman KE, Godron M. 1986. Landscape Ecology. New York, NY: John Wiley; p. 432.
   Google Scholar
• Griffith JA, Martinko EA, Price KP. 2000. Landscape structure analysis of Kansas at three scales. Landscape Urban Planning. 52:45–61.10.1016/S0169-2046(00)00112-2
   Web of Science ®Google Scholar
• Guan D, Li H, Inohae T, Su W, Nagaie T, Hokao K. 2011. Modeling urban land use change by the integration of cellular automaton and Markov model. Ecol Modell. 222:3761–3772.10.1016/j.ecolmodel.2011.09.009
   Web of Science ®Google Scholar
• Gustafson EJ. 1998. Quantifying landscape spatial pattern: what is the state of the art? Ecosystems. 1:143–156.10.1007/s100219900011
   Web of Science ®Google Scholar
• Hasani Sangani M, Amiri BJ, Alizadeh Shabani A, Sakieh Y, Ashrafi S. 2014. Modeling relationships between catchment attributes and river water quality in southern catchments of the Caspian Sea. Environ Sci Pollut Res. 22:4985–5002.
   PubMed Web of Science ®Google Scholar
• Herold M, Scepan J, Clarke KC. 2002. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environ Planning A. 34:1443–1458.10.1068/a3496
   Web of Science ®Google Scholar
• Herold M, Goldstein NC, Clarke KC. 2003. The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sens Environ. 86:286–302.10.1016/S0034-4257(03)00075-0
   Web of Science ®Google Scholar
• Herold M, Couclelis H, Clarke KC. 2005. The role of spatial metrics in the analysis and modeling of urban land use change. Comput Environ Urban Syst. 29:369–399.10.1016/j.compenvurbsys.2003.12.001
   Google Scholar
• Hess G. 1994. Pattern and error in landscape ecology: a commentary. Landscape Ecol. 9:3–5.10.1007/BF00135074
   Web of Science ®Google Scholar
• Hosseinali F, Alesheikh AA, Nourian F. 2013. Agent-based modeling of urban land-use development, case study: simulating future scenarios of Qazvin city. Cities. 31:105–113.10.1016/j.cities.2012.09.002
   Web of Science ®Google Scholar
• Iranian Statistics Center. 2012. General census of population and housing of Rasht city. Tehran: Iranian Statistical Center Publications.
   Google Scholar
• Jaafari S, Sakieh Y, Shabani AA, Danehkar A, Nazarisamani A. 2015. Landscape change assessment of reservation areas using remote sensing and landscape metrics (case study: Jajroud reservation Iran). Environ Dev Sustain. doi:10.1007/s10668-015-9712-4.
   Google Scholar
• Jafarnezhad J, Salmanmahiny A, Sakieh Y. 2015. Subjectivity versus objectivity – a comparative study between Brute force method and genetic algorithm for calibrating the SLEUTH urban growth model. J Urban Plan D-ASCE. doi:10.1061/(ASCE)UP.1943-5444.0000307.
   Web of Science ®Google Scholar
• Jiang GH, Zhang FR, Kong XB. 2009. Determining conversion direction of the rural residential land consolidation in Beijing mountainous areas. Trans CSAE. 25:214–221.
   Google Scholar
• Jing L, Zhiyuan R. 2011. Variations in ecosystem service value in response to land use changes in the loess plateau in northern Shaanxi province. China Int J Environ Res. 5:109–118.
   Web of Science ®Google Scholar
• Jokar J, Helbich M, Kainz W, Darvishi Boloorani A. 2013a. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int J Appl Earth Obs Geoinf. 21:265–275.10.1016/j.jag.2011.12.014
   Web of Science ®Google Scholar
• Jokar J, Helbich A, Noronha E. 2013b. Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran. Cities. 32:33–42.10.1016/j.cities.2013.01.005
   Web of Science ®Google Scholar
• Lechner AM, Langford WT, Bekessy SA, Jones SD. 2012. Are landscape ecologists addressing uncertainty in their remote sensing data? Landscape Ecol. 27:1249–1261.10.1007/s10980-012-9791-7
   Web of Science ®Google Scholar
• Lechner AM, Reinke KJ, Wang Y, Bastin L. 2013. Interactions between landcover pattern and geospatial processing methods: effects on landscape metrics and classification accuracy. Ecol Complexity. 15:71–82.10.1016/j.ecocom.2013.03.003
   Web of Science ®Google Scholar
• Liu YL, Tang DW, Kong XS, Liu YF, Ai TH. 2014. A land-use spatial allocation model based on modified ant colony optimization. Int J Environ Res. 8:1115–1126.
   Web of Science ®Google Scholar
• Luck M, Wu JG. 2002. A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona. Landscape Ecol. 17:327–339.10.1023/A:1020512723753
   Web of Science ®Google Scholar
• Mahiny AS, Clarke KC. 2012. Guiding SLEUTH land-use/land-cover change modeling using multicriteria evaluation: towards dynamic sustainable land-use planning. Environ Planning B. 39:925–944.10.1068/b37092
   Web of Science ®Google Scholar
• Mas JF, Gao Y, Pacheco N. 2010a. Sensitivity of landscape pattern metrics to classification approaches. For Ecol Manage. 259:1215–1224.10.1016/j.foreco.2009.12.016
   Web of Science ®Google Scholar
• Mas JF, Vega AP, Clark C. 2010b. Assessing “spatially explicit” land use/cover change models. Proceedings of the IUFRO Landscape Ecology Working Group International Conference, Bragança, Portugal.
   Google Scholar
• Masnavi MR. 2013. Environmental sustainability and ecological complexity: developing an integrated approach to analyse the environment and landscape potentials to promote sustainable development. Int J Environ Res. 7:995–1006.
   Web of Science ®Google Scholar
• Mc Garigal K, Marks BJ. 1995. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. Amherst: USDA Forest Service.
   Google Scholar
• Mc Garigal K, Cushman SA, Neel MC, Ene E. 2002. FRAGSTATS: spatial pattern analysis program for categorical maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available from: http://www.umass.edu/landeco/research/fragstats/fragstats.html
   Google Scholar
• Mitsova D, Shuster W, Wang X. 2011. A cellular automata model of land cover change to integrate urban growth with open space conservation. Landscape Urban Planning. 99:141–153.10.1016/j.landurbplan.2010.10.001
   Web of Science ®Google Scholar
• Neel MC, McGarigal K, Cushman SA. 2004. Behavior of class-level landscape metrics across gradients of class aggregation and area. Landscape Ecol. 19:435–455.10.1023/B:LAND.0000030521.19856.cb
   Web of Science ®Google Scholar
• O'neill RV, Riitters KH, Wickham JD, Jones KB. 1999. Landscape pattern metrics and regional assessment. Ecosyst Health. 5:225–233.10.1046/j.1526-0992.1999.09942.x
   Google Scholar
• Pan Y, Roth A, Yu ZR, Doluschitz R. 2010. The impact of variation in scale on the behavior of a cellular automata used for land use change modeling. Comput Environ Urban Syst. 34:400–408.10.1016/j.compenvurbsys.2010.03.003
   Web of Science ®Google Scholar
• Paudel S, Yuan F. 2012. Assessing landscape changes and dynamics using patch analysis and GIS modeling. Int J Appl Earth Obs Geoinf. 16:66–76.10.1016/j.jag.2011.12.003
   Web of Science ®Google Scholar
• Pearce J, Simon F. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol Modell. 133:225–245.10.1016/S0304-3800(00)00322-7
   Web of Science ®Google Scholar
• Pham HM, Yamaguchi Y, Bui TQ. 2011. A case study on the relation between city planning and urban growth using remote sensing and spatial metrics. Landscape Urban Planning. 100:223–230.10.1016/j.landurbplan.2010.12.009
   Web of Science ®Google Scholar
• Pontius RG Jr. 2000. Quantification error versus location error in comparison of categorical maps. Photogramm Eng Remote Sens. 66:1011–1016.
   Web of Science ®Google Scholar
• Pontius RG Jr, Batchu K. 2003. Using the relative operating characteristic to quantify certainty in prediction of location of land cover change in India. Trans GIS. 7:467–484.10.1111/tgis.2003.7.issue-4
   Google Scholar
• Pontius RG Jr, Millones M. 2011. Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. Int J Environ Res. 32:4407–4429.
   Google Scholar
• Pontius RG Jr, Schneider LC. 2001. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ. 85:239–248.10.1016/S0167-8809(01)00187-6
   Web of Science ®Google Scholar
• Rafiee R, Mahiny AS, Khorasani N. 2009. Assessment of changes in urban green spaces of Mashad city using satellite data. International Journal of Applied Earth Observation and Geoinformation. 11:431–438.10.1016/j.jag.2009.08.005
   Web of Science ®Google Scholar
• Rafiee R, Mahiny AS, Khorasani N, Darvishsefat AA, Danekar A. 2009. Simulating urban growth in Mashad city, Iran through the SLEUTH model (UGM). Cities. 26:19–26.10.1016/j.cities.2008.11.005
   Web of Science ®Google Scholar
• Rienow A, Goetzke R. 2014. Supporting SLEUTH – enhancing a cellular automata with support vector machines for urban growth modeling. Comput Environ Urban Syst. 49:66–81.
   Web of Science ®Google Scholar
• Riitters KH, O’Neill RV, Hunsaker CT, Wickham JD, Yankee DH, Timmins SP, Jones KB, Jackson BL. 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecol. 10:23–39.10.1007/BF00158551
   Web of Science ®Google Scholar
• Sakieh Y, Amiri BJ, Danekar A, Feghhi J, Dezhkam S. 2014a. Scenario-based evaluation of urban development sustainability: an integrative modeling approach to compromise between urbanization suitability index and landscape pattern. Environ Develop Sust. 17:1343–1365.
   Web of Science ®Google Scholar
• Sakieh Y, Amiri BJ, Danekar A, Feghhi J, Dezhkam S. 2014b. Simulating Urban Expansion and Scenario Prediction using a Cellular Automata Urban Growth Model, SLEUTH, through a Case Study of Karaj City, Iran. J Hous Built Environ. 30:591–611.
   Web of Science ®Google Scholar
• Sakieh Y, Salmanmahiny A, Jafarnezhad J, Mehri A, Kamyab H, Galdavi S. 2015. Evaluating the strategy of decentralized urban land-use planning in a developing region. Land Use Policy. 48:534–551.10.1016/j.landusepol.2015.07.004
   Web of Science ®Google Scholar
• Sang L, Zhang C, Yang J, Zhu D, Yun W. 2011. Simulation of land use spatial pattern of towns and villages based on CA-Markov model. Math Comput Modell. 54:938–943.10.1016/j.mcm.2010.11.019
   Web of Science ®Google Scholar
• Santé I, García AM, Miranda D, Crecente R. 2010. Cellular automata models for the simulation of real-world urban processes: a review and analysis. Landscape Urban Planning. 96:108–122.10.1016/j.landurbplan.2010.03.001
   Web of Science ®Google Scholar
• Schindler S, Poirazidis K, Wrbka T. 2008. Towards a core set of landscape metrics for biodiversity assessments: a case study from Dadia National Park, Greece. Ecol Indic. 8:502–514.10.1016/j.ecolind.2007.06.001
   Web of Science ®Google Scholar
• Schmit C, Rounsevell MDA, La Jeunesse I. 2006. The limitations of spatial land use data in environmental analysis. Environ Sci Policy. 9:174–188.10.1016/j.envsci.2005.11.006
   Web of Science ®Google Scholar
• Silva EA, Clarke KC. 2002. Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal. Comput Environ Urban Sy. 26:525–552.10.1016/S0198-9715(01)00014-X
   Google Scholar
• Soares-Filho BS, Cerqueira GC, Pennachin CL. 2002. DINAMICA—a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecol Modell. 154:217–235.10.1016/S0304-3800(02)00059-5
   Web of Science ®Google Scholar
• Stevens D, Dragićević S. 2007. A GIS-based irregular cellular automata model of land-use change. Environ Planning B. 34:708–724.10.1068/b32098
   Web of Science ®Google Scholar
• Su S, Xiao R, Zhang Y. 2011. Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression. Appl Geogr. 32:360–375.
   Web of Science ®Google Scholar
• Tang J, Wang L, Yao Z. 2008. Analyses of urban landscape dynamics using multi-temporal satellite images: a comparison of two petroleum-oriented cities. Landscape Urban Planning. 87:269–278.10.1016/j.landurbplan.2008.06.011
   Web of Science ®Google Scholar
• Tian G, Ouyang Y, Quan Q, Wu J. 2011. Simulating spatiotemporal dynamics of urbanization with multi-agent systems—a case study of the Phoenix metropolitan region, USA. Ecol Modell. 222:1129–1138.10.1016/j.ecolmodel.2010.12.018
   Web of Science ®Google Scholar
• Turner MG, O’Neill RV, Gardner RH, Milne BT. 1989. Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecol. 3:153–162.10.1007/BF00131534
   Web of Science ®Google Scholar
• Turner MG, Gardner RH, O’Neill RV. 2001. Landscape ecology in theory and practice: pattern and process. New York, NY: Springer-Verlag.
   Google Scholar
• Veldkamp A, Lambin EF. 2001. Predicting land-use change. Agriculture, Ecosystems & Environment. 85:1–6.10.1016/S0167-8809(01)00199-2
   Web of Science ®Google Scholar
• Verburg PH, Soepboer W, Veldkamp A, Limpiada R, Espaldon V, Mastura SS. 2002. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ Manage. 30:391–405.10.1007/s00267-002-2630-x
   PubMed Web of Science ®Google Scholar
• Wakode HB. 2014. Assessment of impact of urbanization on groundwater resources using GIS techniques – case study of Hyderabad. India Int J Environ Res. 8:1145–1158.
   Web of Science ®Google Scholar
• Wang SQ, Zheng XQ, Zang XB. 2012. Accuracy assessment of land use change simulation based on Markov-cellular automata model. The 18th Biennial Conference of International Society for Ecological Modelling. Procedia Environ. Sci. 13:1238–1245.
   Google Scholar
• Weng YC. 2007. Spatiotemporal changes of landscape pattern in response to urbanization. Landscape Urban Planning. 81:341–353.10.1016/j.landurbplan.2007.01.009
   Web of Science ®Google Scholar
• Wickham JD, O’Neill RV, Riitters KH, Wade TG, Jones KB. 1997. Sensitivity of landscape metrics to land-cover misclassification and differences in land-cover composition. Photogramm Eng Remote Sens. 63:397–402.
   Web of Science ®Google Scholar
• Wu J. 2004. Effects of changing scale on landscape pattern analysis: scaling relations. Landscape Ecol. 19:25–138.
   Web of Science ®Google Scholar
• Wu J, Shen W, Sun W, Tueller PT. 2002. Empirical patterns of the effects of changing scale on landscape metrics. Landscape Ecol. 17:761–782.10.1023/A:1022995922992
   Web of Science ®Google Scholar
• Wu X, Hu Y, He HS, Bu R, Onsted J, Xi F. 2009. Performance evaluation of the SLEUTH model in the Shenyang metropolitan area of Northeastern China. Environ Model Assess. 14:221–230.10.1007/s10666-008-9154-6
   Web of Science ®Google Scholar
• Xie Y, Yu M, Bai Y, Xing X. 2006. Ecological analysis of an emerging urban landscape pattern – desakota: a case study in Suzhou, China. Landscape Ecol. 21:1297–1309.10.1007/s10980-006-0024-9
   Web of Science ®Google Scholar
• Xin Y, Qi ZX, Na LL. 2012. A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata. Ecol Model. 233:11–19.
   Web of Science ®Google Scholar
• Yeh CT, Huang SL. 2009. Investigating spatiotemporal patterns of landscape diversity in response to urbanization. Landscape Urban Planning. 93:151–162.10.1016/j.landurbplan.2009.07.002
   Web of Science ®Google Scholar