Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore

International Journal of Geographical Information Science

Volumn 12, Issue 7, 1998, Pages 699-714

  Clarke, Keith C ^a   Gaydos, Leonard J ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GIS; MODELING; POPULATION GROWTH; URBAN PLANNING;

UNITED STATES;

EID: 0032447095     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/136588198241617     Document Type: Article

References (31)

1. KIRTLAN, D., GAYDO, L. J., CLARK, K. C., DECOL, L., ACEVED, W., and BEL, C., 1994. An analysis of human-induced land transformations in the San Francisco Bay/ Sacramento Area. World Resources Review, 6:206–217.
2. KRAME, J., 1996. Integration of a GIS with a Local Scale Self-Modifying Cellular Automaton Urban Growth Model in Southeastern Orange County, New Yor, Hunter College CUNY. MA Thesishttp://everest.hunter.cuny.edu/jkramer/paper.html
3. MAKS, H. A., HAVLI, S., and STANLE, H. E., 1995. Modelling urban growth patterns. Nature, 377:608–612.
4. PAR, S., and WAGNE, D. F., 1997. Incorporating Cellular Automata simulators as analytical bengines in GIS. Transactions in GIS, 2:213–231.
5. TAKEYAM, M., 1997. COUCLELIS, H, Map dynamics:Integrating cellular automata and GIS through geoalgebra. International Journal of Geographical Information Science, 11:73–91.
6. TOBLE, W. R., 1979. “ Cellular geography ”. In Philosophy in Geograph, Edited by:Gal, S., and Olsse, G., 379–386. Dordrecht:Reidel.
7. VITOUSE, P. M., 1994. Beyond global warming:Ecology and global change. Ecology, 75:1861–1876.
8. WAGNE, D. 1997. Cellular automata and geographic information systems. Environment and Planning B, 24:219–234.
9. WALDRO, M. M., 1992. Complexity:The Emerging Science at the Edge of Order and Chao, New York:Simon and Schuster.
10. WHIT, R., and ENGELE, G. 1992. Cellular automata and fractal urban form:a cellular modelling approach to the evolution of urban land use pattern, Working Paper no. 9264 Maastricht, The Netherlands:Research Institute for Knowledge Systems (RIICS).
11. WILSO, J., 1995. Special issue on the integration of GIS and environmental modelling. International Journal of Geographical Information Systems, 9 editor
12. WOLFRA, S., 1984. Cellular automata as models of complexity. Nature, 311:419–424.
13. WOLFRA, S., 1986. Theory and Applications of Cellular Automat, Singapore:World Scientific.
14. ACEVED, W., and MASUOK, P., 1997. Time-series animation techniques for visualizing urban growth. Computers & Geosciences, 23:423–435.
15. ANDERSO, J. R., HARD, E. E., ROAC, J. T., and WITME, R. E., 1976. A Land Use and Land Cover Classification System for use with Remote Sensor Dat, U.S. Geological Survey Professional Paper 964 Washington, DC:US Government Printing Office.
16. ANSELI, L., DODSO, R. F., and HUDA, S., 1993. Linking GIS and spatial data analysis in practice. Geographical Systems, 1:3–23.
17. BATT, M., and LONGLE, P., 1994. Fractal Citie, London:Academic Press.
18. BATT, M., and XI, Y., 1994. Modelling inside GIS:Part 2. Selecting and calibrating urban models using Arc/Info. International Journal of Geographical Information Systems, 8:429–450.
19. CHRISMA, N. 1997. Exploring Geographic Information System, New York:Wiley.
20. CLAR, S., STAR, J., FORESMA, T. W., PRINC, W., and ACEVED, W., Development of the temporal transportation database for the analysis of urban development in the Baltimore-Washington Region. Proceedings, ASPRS/ACSM Annual Convention and Exhibition. April22–24, Baltimore, MD.
21. CLARK, K. C., 1997. Getting Started With Geographic Information System, Upper Saddle River, NJ:Prentice Hall.
22. CLARK, K. C., GAYDO, L. J., and HOPFE, S., 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B, 24:247–261.
23. CLARK, K. C., HOPFE, S., and GAYDO, L. J., Methods and techniques for rigorous calibration of a cellular automaton model of urban growth. Proceedings, Third International Conference/Workshop on Integrating GIS and Environmental Modeling CD-ROM. January21–261996, Santa Fe, NM. Santa Barbara, CA:National Center for Geographic Information and Analysis. http://www.ncgia.ucsb.edu /conf/ SANTA_FE_CD-ROM /main.htmL
24. CLARK, K. C., RIGGA, P., and BRAS, J. A., 1995. A cellular automaton model of wildfire propagation and extinction. Photogramme trie Engineering and Remote Sensing, 60:1355–1367.
25. COUCLELI, H. 1997. From cellular automata to urban models:New principles for model development and implementation. Environment and Planning B-Planning & Design, 24:165–174.
26. GIBSO, W., 1984. Neuromance, New York:Ace Books.
27. GOODCHIL, M. F., 1992. Geographical information science. International Journal of Geographical Information Systems, 6:31–46.
28. CRAWFORD-TILLE, J. S., ACEVED, W., FORESMA, T., and PRINC, W., Developing a temporal database of urban development for the Baltimore/Washington region. Proceedings. ACSM/ASPRS Annual Meeting. Washington DC. Vol. 3, pp. 101–110. http://edcwww2.cr.usgs.gov/umap/pubs/asprsJt.htmL
29. GOODCHIL, M. F., STEYAER, L. T., and PARK, B. O., eds. 1996. GIS and Environmental Modelin, Fort Collins:GIS World.
30. GOTTMAN, J., 1961. Megalopolis:the urbanized northeastern seaboard of the United State, New York:Twentieth Century Fund.
31. HAGERSTRAN, T., 1965. A Monte-Carlo approach to diffusion. European Journal of Sociology, VI:43–67.