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Automaty komórkowe jako narzędzie modelowania i symulacji procesów przestrzennych w systemach informacji geograficznej

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Warianty tytułu
EN
Cellular automata - a tool for spatio-temporal modelling and simulation in GIS
Języki publikacji
PL
Abstrakty
PL
W artykule przedstawiono definicję i zasadę funkcjonowania automatu komórkowego oraz sposoby integracji automatów komórkowych z systemami informacji geograficznej. Zaprezentowano również zaczerpnięte z literatury przykłady zastosowań automatów komórkowych jako narzędzia modelowania i symulacji dynamicznych procesów przestrzennych w systemach informacji geograficznej.
EN
The paper presents a cellular automata definition and functionality as well as ways of its integration with Geographical Information Systems. In the second part a short review of cellular-based GIS applications to modelling and simulation of dynamic spatial processes is given.
Wydawca
Rocznik
Strony
183--195
Opis fizyczny
Bibliogr. 43 poz.
Twórcy
  • Akademia Górniczo-Hutnicza, Wydział Geodezji Górniczej i Inżynierii Środowiska, Zakład Fotogrametrii i Informatyki Teledetekcyjnej
Bibliografia
  • [1] Almeida CM., Batty M., Monteiro A.M.V., Camara G., Soares-Filho B.S., Cerqueira G.C, Pennachin C.L.: Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation. Computers, Environment and Urban Systems, vol. 27,2003
  • [2] Barredo J.I., Demicheli L.: Urban sustainability in developing countries' megacities: modelling and predicting future urban growth in Lagos. Cities, vol. 20, No 5, 2003
  • [3] Barredo J.I., Kasanko M., McCormick N., Lavalle C: Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, vol. 64, 2003
  • [4] Barredo J.I., Lavalle C, Demicheli L., Kasanko M., McCormick N.: Sustainable urban and regional planning: The MOLAND activities on urban scenario modelling and forecast. Luxembourg, European Commision, Joint Research Centre, Institute for Environment and Sustainability, Office for Official Publications of the European Communities 2003
  • [5] Batty M., Xie Y: From cells to cities. Environment and Planning B: Planning and Design, vol. 19, 1994
  • [6] Cecchini A., Rinaldi E.: Cellular Automata: A Useful and Effective Tool for Reading, Interpreting, Describing, Forseeing the Behaviour of Urban Systems. 17th International Conference of the System Dynamics Society "System Thinking for New Millenium", Wellington, New Zealand, 2000 (http:/ /www.systemdynamics.org/conf2000/index.htm)
  • [7] Clarke K.C, Hoppen S., Gaydos L.J.: A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design, vol. 24, 1997
  • [8] Clarke K.C., Gaydos L.J.: Loose-coupling of cellular automaton model and GIS: longterm urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, vol. 12, No 7, 1998
  • [9] Couclelis H.: Cellular worlds: a framework for modeling micro-macro dynamics. Environnment and Planning A, vol. 17, 1985
  • [10] Couclelis H.: Macrostructure and microbehavior in a metropolitan area. Environment and Planning B: Planning and Design, vol. 16, 1989
  • [11] Embutsu I., Baba K, Goodchild M., Church K, Takeyama M.: A cellular automaton modeling for urban heat island mitigation. Proceedings of the GIS/LI '94 American Congress on Surveying and Mapping, Bethesda 1994
  • [12] Engelen G., Geertman S., Smits P., Wessels C: Dynamic GIS and Strategic Phisical Planning Support: a practical application to the Ijmond / Zuid-Kennemerland region. [w:] Stillwell J., Geertman S., Openshaw S. (red.), Geographical Information and Planning, 5pringer 1999
  • [13] Herold M., Goldstein N., Clarke K.: The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sensing of Environment, vol. 86, 2003
  • [14] Jantz C.A., Goetz S.J., Shelley M.K: Using the SLEUTH urban growth model to simulate ;he impacts of future policy scenarios on urban land use in the Baltimore-Washington metropolitan area. Environment and Planning B: Planning and Design, vol. 30, 2003
  • [15] Kułakowski K: Automaty komórkowe. Akademia Górniczo-Hutnicza w Krakowie, Ośrodek Edukacji Niestacjonarnej 2000
  • [16] Lavalle C, Barredo J.I., Mc Cormick N., Engelen G., White R., Uljee I.: The MOLAND model for urban and regional growth forecast. A tool for the definition of sustainable development paths. Luxembourg, European Commission, Joint Research Centre, Institute for Environment and Sustainability 2004
  • [17] Li X., Yeh A.G.O.: Calibration of cellular automata by using neural networks for the simulation of complex urban systems. Environment and Planning A, vol. 33, 2001
  • [18] Li X., Yeh A.G.O.: Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science, vol. 16, No 4, 2002
  • [19] Liu Y., Phinn S.R.: Modelling urban development with cellular automata incorporating fuzzy-set approaches. Computers, Environment and Urban Systems, vol. 27, 2003
  • [20] Lo C.P., Yang X.: Drivers of land-use/land-cover changes and dynamic modeling for the Atlanta, Georgian Metropolitan area. Photogrammetric Engineering and Remote Sensing, vol. 68, 2002
  • [21] Park S., Wagner D.F.: Incorporating Cellular Automata simulators as analytical engines in GIS. Transactions in GIS, vol. 2, No 3,1997
  • [22] Phipps M.: Dynamical behavior of cellular automata under constraints of neighborhood coherence. Geographical Analysis, vol. 21, 1989
  • [23] Silva E.A., Clarke K.C: Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal. Computers, Environment and Urban Systems, vol. 26, 2003
  • [24] Soares-Filho B.S., Cerqueira G.C, Pennachin C.L.: DINAMICA - a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecological Modelling, vol. 154, 2002
  • [25] Sietchiping R.: A Geographic Information Systems and Cellular Automata-Based Model of Informal Settlement Growth. Australia, School of Anthropology, Geography and Environmental Studies, The University of Melbourne 2004 (doctoral thesis)
  • [26] Sui D.Z., Zeng H.: Modeling the dynamics of landscape structure in Asia's emerging desakota regions: a case study in Shenzhen. Landscape and Urban Planning, vol. 53, 2001
  • [27] Takeyama M., Couclelis H.: Map dynamics: integrating cellular automata and GIS through Geo-Algebra. International Journal of Geographical Information Science, vol. 11, No 1 1997
  • [28] Tobler W.: Cellular geography. [w:] Gale S., Olsson G. (red.), Philosophy in Geography, Dordrecht, D Reidel 1979
  • [29] Torrens P.M.: How cellular models of urban systems work (1. Theory). Working Paper Series, Paper 28. University College London, Centre for Advanced Spatial Analysis 2000
  • [30] USGS: Project Gigalopolis: urban and land cover modeling. US Geological Survey, 2003 (http://www.ncgia.ucsb.edu/projects/ gig/)
  • [31] Wagner D.E: Cellular automata and geographic information systems. Environment and Planning B: Planning and Design, vol. 24,1997
  • [32] White K, Engelen G.: Cellular automata and fractal urban form: a cellular modelling·approach to the evolution of urban landuse patterns. Environment and Planning A, vol. 25 1993
  • [33] White, K, Engelen G.: Cellular automata as the basis of integrated dynamic regional modelling. Environment and Planning B, vol. 24, 1997
  • [34] White, R., Engelen G., Uljee I.: The use of constrained cellular automata for high-resolution modelling of urban land use dynamics. Environment and Planning B, vol. 24, 1997
  • [35] White, R., Engelen G., 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. [w:] Hill M., Aspinall R. (red.), Spatial Information for Land Use Management, Gordon and Breach 2000
  • [36] White, R., Straatman B., Engelen G.: Planning Scenario Visualization and Assessment: A Cellular Automata Based Integrated Spatial Decision Support System. [w:] Goodchild M.F., Janelle D. (red.), Spatially Integrated Social Science, New York, USA, Oxford University Press 2004
  • [37] Wu F.: SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information Science, vol. 12, No 1, 1998
  • [38] Wu F.: Simulating urban encroachment on rural land with fuzzylogic-controlled cellular automata in a geographical information system. Journal of Environmental Management, vol. 53, 1998
  • [39] Wu F., Webster C.J.: Simulation of Land Development trough the Integration of Cellular Automata and Multicriteria Evaluation. Environment and Planning B, vol. 25, 1998
  • [40] Xian G., Acevedo W., Nelson J.: Urban development in the Chicago area – a dynamic model study. Proceedings of the Fourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Banff, Alberta, Canada 2000
  • [41] Xian G., Crane M.: Assessments of urban growth in the Tampa Bay watershed using remote sensing data. Remote Sensing of Environment, vol. 97, 2005
  • [42] Xian G., Crane M., Steinwand D.: Dynaming modeling of Tampa Bay urban development using parallel computing. Computers and Geosciences, vol. 31, 2005
  • [43] Leao S., Bishop I., Evans D.: Spatial-temporal model for demand and allocation of waste landfills in growing urban regions. Computers, Environment and Urban Systems, vol. 28, No 4, 2004
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH5-0008-0018
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