Implementation of a dynamic neighborhood in a land-use vector-based cellular automata model

Computers, Environment and Urban Systems

Volumn 33, Issue 1, 2009, Pages 44-54

  Moreno, Niandry ^a,b   Wang, Fang ^a   Marceau, Danielle J ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSIDAD DE LOS ANDES   (Venezuela)

Author keywords

Dynamic neighborhood; Land use land cover changes; Vector based cellular automata

Indexed keywords

AUTOMATA THEORY; CELLULAR AUTOMATA; FLIGHT DYNAMICS; LAND USE; PATTERN RECOGNITION SYSTEMS; ROBOTS; TRANSLATION (LANGUAGES); VECTORS;

ALBERTA , CANADA; CA MODELS; CELL SIZES; CELLULAR AUTOMATA MODELS; DYNAMIC NEIGHBORHOOD; GEOGRAPHIC OBJECTS; IRREGULAR SHAPES; LAND-USE/LAND-COVER CHANGES; NEIGHBORHOOD CONFIGURATIONS; SPATIAL PATTERNS; TRANSITION FUNCTIONS; ZONE OF INFLUENCES;

DYNAMIC MODELS;

CELLULAR AUTOMATON; COMPUTER SIMULATION; LAND COVER; LAND USE CHANGE; MAPPING; NEIGHBORHOOD; RASTER; SENSITIVITY ANALYSIS; VECTOR;

ALBERTA; CANADA; NORTH AMERICA; QUEBEC [CANADA];

EID: 58149152993     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2008.09.008     Document Type: Article

References (48)

1. Almeida C.M., Batty M., Monteiro A.M.V., Câmara G., Soares-Filho B.S., Cerqueira G.C., et al. Stochastic cellular automata modeling of urban land use dynamics: Empirical development and estimation. Computers, Environment and Urban Systems 27 (2003) 481-509
2. Almeida C.M., Gleriani J.M., Castejon E.F., and Soares-Filho B.S. Using neural networks and cellular automata for modelling intra-urban land-use dynamics. International Journal of Geographical Information Science 22 9 (2008) 943-963
3. Arii K., and Parrott L. Examining the colonization process of exotic species varying in competitive abilities using a cellular automaton model. Ecological Modelling 199 (2006) 219-228
4. Batty M., Xie Y., and Sun Z. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems 23 (1999) 205-233
5. Benenson I., Omer I., and Hatna E. Entity-based modeling of urban residential dynamics: The case of Yaffo, Tel Aviv. Environment and Planning B: Planning and Design 29 (2002) 491-512
6. Berjak S.G., and Hearne J.W. An improved cellular automata model for simulating fire in a spatially heterogeneous Savanna system. Ecological Modelling 148 2 (2002) 133-151
7. Chen Q., and Mynett A.E. Effects of cells size and configuration in cellular automata based prey-predator modeling. Simulation Modelling Practice and Theory 11 7-8 (2003) 609-625
8. Chen Q., Mynett A.E., and Minns A.W. Application of cellular automata to modelling competitive growths of two underwater species Chara aspera and Potamogeton pectinatus in Lake Veluwe. Ecological Modelling 147 3 (2002) 253-265
9. Couclelis H. Cellular worlds: A framework for modeling micro-macro dynamics. Environment and Planning A 17 5 (1985) 585-596
10. Dietzel C., and Clarke K.C. The effect of disaggregating land use categories in cellular automata during model calibration and forecasting. Computers, Environment and Urban Systems 30 1 (2006) 78-101
11. Favier C., Chave J., Fabing A., Schwartz D., and Dubois M.A. Modelling forest-savanna mosaic dynamics in man-influenced environments: Effects of fire, climate and soil heterogeneity. Ecological Modelling 171 (2004) 85-102
12. Flache A., and Hegselmann R. Do irregular grids make a difference? Relaxing the spatial regularity assumption in cellular models of social dynamics. Journal of Artificial Societies and Social Simulation 4 4 (2001) 6.1-6.27
13. Hammam Y., Moore A., and Whigham P. The dynamic geometry of geographical vector agents. Computers, Environment and Urban Systems 31 5 (2007) 502-519
14. Hu, S., & Li, D. (2004). Vector cellular automata based geographical entity. In Proceedings of the 12th international conference on geoinformatics - geospatial information research: Bridging the Pacific and Atlantic (June 7-9, pp. 249-256). Sweden: University of Gävle.
15. Jantz C.A., and Goetz S.J. Analysis of scale dependencies in an urban land-use change model. International Journal of Geographical Information Science 19 2 (2005) 217-241
16. Jenerette G.D., and Wu J. Analysis and simulation of land-use change in the central Arizona-Phoenix region, USA. Landscape Ecology 16 (2001) 611-626
17. JTS (2004). JTS Technology Suite. Vivid Solutions, Victoria, British Columbia, Canada. .
18. Kocabas V., and Dragicevic S. Assessing cellular automata model behavior using a sensitivity analysis approach. Computers, Environment and Urban Systems 30 6 (2006) 921-953
19. Li X., and Yeh A.G. Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science 16 4 (2002) 323-343
20. Marceau D.J., and Moreno N. An object-based cellular automata to mitigate scale dependency. In: Blaschke T., Lang S., and Hay G.J. (Eds). Object-based image analysis (2008), Springer-Verlag 43-73
21. Matsinos Y.G., and Troumbis A.Y. Modeling competition, dispersal and effects of disturbance in the dynamics of a grassland community using a cellular automaton model. Ecological Modelling 149 (2002) 71-83
22. Ménard A., and Marceau D.J. Exploration of spatial scale sensitivity in geographical cellular automata. Environment and Planning B: Planning and Design 32 (2005) 693-714
23. Ménard A., and Marceau D.J. Simulating the impact of forest management scenarios in an agricultural landscape of southern Quebec, Canada, using a geographic cellular automata. Landscape and Urban Planning 79 3-4 (2007) 253-265
24. Moreno, N., & Marceau, D. J. (2006). A vector-based cellular automata model to allow changes of polygon shape. In Proceedings of the 2006 SCS international conference on modeling and simulation - methodology, tools, software applications (July 31-August 2, pp. 85-92). Canada: Calgary.
25. Moreno, N., & Marceau, D. J. (2007). Performance assessment of a new vector-based geographic cellular automata model. In Proceedings of the international conference on geocomputation (September 3-5). Ireland: Maynooth.
26. Moreno N., Ménard A., and Marceau D.J. VecGCA: A vector-based geographic cellular automata model allowing geometrical transformations of objects. Environment and Planning B: Planning and Design 35 (2008) 647-665
27. OpenMap (2005). OpenMapTM. Open Systems Mapping Technology. BBN Technologies. .
28. O'Sullivan D. Graph-cellular automata: A generalised discrete urban and regional model. Environment and Planning B: Planning and Design 28 (2001) 687-705
29. O'Sullivan D. Exploring spatial process dynamics using irregular cellular automaton models. Geographical Analysis 33 1 (2001) 1-18
30. Rietkerk M., Dekker S.C., Ruiter P.C., and Koppel J. Self-organized patchiness and catastrophic shifts in ecosystems. Science 305 5692 (2004) 1926-1929
31. Semboloni F. The growth of an urban cluster into a dynamic self-modifying spatial pattern. Environment and Planning B: Planning and Design 27 4 (2000) 549-564
32. Shi W., and Pang M.Y.C. Development of Voronoi-based cellular automata - an integrated dynamic model for geographical information systems. International Journal of Geographical Information Science 14 5 (2000) 455-474
33. Soucy-Gonthier, N., Marceau, D. J., Delage, M., Cogliastro, A., Domon, G., Bouchard, A. (2003). Détection de l'évolution des superficies forestières en Montérégie entre juin 1999 et août 2002 à partir d'images satellitaires Landsat TM [Survey of the evolution of forested areas in the Monteregie region, June 1999-August 2002, from Landsat-TM remote sensing images], report presented to the Agence Forestière de la Montérégie; copy available from the authors.
34. Stevens D., Dragicevic S., and Rothley K. iCity: A GIS-CA modelling tool for urban planning and decision making. Environmental Modelling and Software 22 6 (2007) 761-773
35. Stewart-Cox J., Britton N., and Mogie M. Pollen limitation or mate search need not induce an Allee effect. Bulletin of Mathematical Biology 67 5 (2005) 1049-1079
36. Sun T., and Wang J. A traffic cellular automata model based on road network grids and its spatial and temporal resolution's influences on simulation+. Simulation Modelling Practice and Theory 15 (2007) 864-878
37. Takeyama M., and Couclelis H. Map dynamics: Integrating cellular automata and GIS through geoalgebra. International Journal of Geographical Information Science 11 1 (1997) 73-91
38. Torrens P.M., and Benenson I. Geographic automata systems. International Journal of Geographical Information Science 19 4 (2005) 385-412
39. Verburg P.H., Nijs T.C.M., Eck J.R., Visser H., and Jong K. A method to analyse neighborhood characteristics of land use patterns. Computers, Environment and Urban Systems 28 6 (2004) 667-690
40. Von Neumann J., and Burks A.W. Theory of self reproducing automata (1966), University of Illinois Press, Urbana, Illinois
41. Wahle J., Neubert L., Esser J., and Schreckenberg M. A cellular automata traffic flow model for online simulation of traffic. Parallel Computing 27 5 (2001) 719-735
42. White R., and Engelen G. Cellular automata and fractal urban form: A cellular modelling approach to the evolution of urban land-use patterns. Environment and Planning A 25 8 (1993) 1175-1199
43. White R., and Engelen G. High resolution integrated modeling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems 24 (2000) 383-400
44. White R., Engelen G., and Uljee I. Modelling land-use change with linked cellular automata and socio-economic models: A tool for exploring the impact of climate change on the island of St. Lucia. In: Hill M.J., and Aspinell R.J. (Eds). Spatial information for land-use management (2000), Gordon and Breach, Amsterdan 189-204
45. Wolfram S. Cellular automata as models of complexity. Nature 311 (1984) 419-424
46. Wu F. Calibration of stochastic cellular automata: The application to rural-urban land conversions. International Journal of Geographical Information Science 16 8 (2002) 795-818
47. Yassemi S., Dragicevic S., and Schmidt M. Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour. Ecological Modelling 210 (2008) 71-84
48. Yeh A.G.-O., and Li X. Errors and uncertainties in urban cellular automata. Computers, Environment and Urban Systems 30 (2006) 10-28