Modelling urban growth and landscape changes in the Atlanta metropolitan area

International Journal of Geographical Information Science

Volumn 17, Issue 5, 2003, Pages 463-488

  Yang, Xiaojun ^a   Lo, C P ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LANDSCAPE CHANGE; METROPOLITAN AREA; MODELING; URBAN GROWTH;

UNITED STATES;

EID: 0038268800     PISSN: 13658816     EISSN: None     Source Type: Journal    
DOI: 10.1080/1365881031000086965     Document Type: Article

References (45)

1. ANDERSON, J. R., HARDY, E. E., ROACH, J. T., and WITMER, R. E., 1976, A land use and land cover classification system for use with remote sensor data. USGS Professional Paper 964, Sioux Falls, SD, USA.
2. ATLANTA REGIONAL COMMISSION (ARC), 2000, The 2025 Regional Transportation Plan. http://www.atlantaregional.com
3. BATTY, M., and LONGLEY, P., 1994, Fractal Cities: A Geometry of Form and Function (London: Academic Press).
4. BATTY, M., and XIE, Y., 1994a, From cells to cities. Environment and Planning. B21, 531-548.
5. BATTY, M., and XIE, Y., 1994b, Modelling inside GIS: Part 2. Selecting and calibrating urban models using ARC-INFO. International Journal of Geographical Information Systems, 8, 451-470.
6. BATTY, M., XIE, Y., and SUN, Z., 1999, Modelling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23, 205-233.
7. BULLARD, R. D., JOHNSON, G. S., and TORRES, A. O. (eds), 2000, Sprawl City: Race, Politics, and Planning in Atlanta (Washington, DC: Island Press).
8. CLARKE, K. C., 1997, Land transition modelling with deltatrons. In Proceedings of the Land Use Modelling Workshop, web edition, Santa Barbara, California, June 1997. http://www.ncgia.ucsb.edu
9. CLARKE, K. C., and GAYDOS, J., 1998, Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographic Information Science, 12, 699-714.
10. CLARKE, K. C., GAYDOS, L., and HOPPEN, S., 1997, A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B, 24, 247-261.
11. COUCLELIS, H., 1997, From cellular automata to urban models: New principles for model development and implementation. Environment and Planning B, 24, 165-174.
12. DEAR, M. J., 2000, The Post-modern Urban Condition (Oxford: Blackwell Publishers).
13. DEAR, M., and FLUSTY, S., 1998, Post-modern urbanism. Annals of the Association of American Geographers, 88, 50-72.
14. FUJII, T., and HARTSHORN, T., 1995, The changing metropolitan structure of Atlanta, Georgia: locations of functions and regional structure in a multi-nucleated urban area. Urban Geography, 16, 680-707.
15. GARREAU, J., 1991, Edge City: Life on the New Frontier (New York: Doubleday).
16. GROSSMANN, W. D., and EBERHARDT, S., 1993, Geographical information systems and dynamic modelling potentials for a new approach. In Geographic Information Systems, Spatial Modelling, and Policy Evaluation, edited by M. M. Fischer and P. Nijkamp (Berlin: Springer-Verlag), pp. 167-180.
17. HALL, T., 1998, Urban Geography (London: Routledge).
18. HARTSHORN, T., 1992, Interpreting the City: An Urban Geography, 2nd edition (New York: Wiley).
19. HARTSHORN, T., and MULLER, P., 1989, Suburban downtown and the transformation of metropolitan Atlanta's business landscape. Urban Geography, 10, 375-395.
20. KOSTMAYER, P. H., 1989, The American landscape in the 21st century. Congressional Record, 135, 18 May, 1989.
21. KNOX, P. L. (ed.), 1993, The Restless Urban Landscape (Englewood Cliffs, NJ: Prentice-Hall).
22. LANDIS, J., 1995, Imaging land use futures: applying the California Urban Futures Model. Journal of the American Planning Association, 61, 438-457.
23. LI, X., and YEH, A., 2000, Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science, 14, 131-152.
24. LO, C. P., and YANG, X., 2000, Mapping the dynamics of land use and land cover change in the Atlanta metropolitan area using time sequential Landsat images. In ASPRS 2000 Proceedings (Bethesda, MA: American Society for Photogrammetry and Remote Sensing). (Published in CD form).
25. MEAILLE, R., and WALD, L., 1990, Using geographical information systems and satellite imagery within a numerical simulation of regional urban growth. International Journal of Geographic Information Systems, 4, 445-456.
26. PIJANOWSKI, B. C., LONG, D. T., GAGE, S. H., and COOPER, W. E., 1997, A land transformation model: conceptual elements, spatial object class hierarchies, GIS command syntax and an application for Michigan's Saginaw Bay Watershed. http://www.ncgia.ucsb.edu/ conf/landuse97/papers/pijanowski_bryan/paper.html
27. PROJECT GIGALOPOLIS, 1999, The Clarke Urban Growth Model (Version 2.1). http://www.ncgia.ucsb.edu/projects/gig
28. PROJECT GIGALOPOLIS, 2001, Urban Growth Model (UGM) Version 3.0 Difference Between Version 2.0 and 2.1. http://www.ncgia.ucsb.edu/projects/gig
29. SOJA, E., 1989, Post-modern Geographies: The Reassertion of Space in Critical Social Theory (London: Verso).
30. STORPER, M., and SCOTT, A. J., 1989, The geographical foundations and social regulation of flexible production complexes. In The Power of Geography: How Territory Shapes Social Life, edited by M. Dear and J. Wolch (Boston: Unwin Hyman), 21 pp.
31. SUI, D. Z., and ZENG, H., 2001, Modelling the dynamics of landscape structure in Asia's emerging desakota regions: a case study in Shenzhen. Landscape and Urban Planning, 53, 37-52.
32. TORRENS, P. M., 2000, How cellular models of urban systems work, WP-28, Centre for Advanced Spatial Analysis. University College London. http://www.casa.ucl.uk/ how_ca_work.pdf
33. TORRENS, P. M., and O'SULLIVAN, D., 2001, Cellular automata and urban simulation: where do we go from here. Environment and Planning B, 28, 163-168.
34. TURNER, B. L., MOSS, R. H., and SKOLE, D. L., 1993, Relating land use and global land-cover change: A proposal for an IGBP-HDP core project. International-Geosphere-Biosphere Programme, IGBP Report No. 24, HDP Report No. 5.
35. TURNER, M. G., 1987, Spatial simulation of landscape changes in Georgia: A comparison of 3 transition models. Landscape Ecology, 1, 29-36.
36. UNITED NATIONS, 1997, Urban Agglomerations 1996. United Nations Publications (ST/ESA/ SER.A/163), Sales No. E.97. XIII.
37. VELDKAMP, A., and FRESCO, L. O., 1996, CLUE: A conceptual model to study the conversion of land use and its effects. Ecological Modelling, 85, 253-270.
38. WANG, Y., and ZHANG, X., 2001, A dynamic modelling approach to simulating socioeconomic effects on landscapes changes. Ecological Modelling, 140, 141-162.
39. WEGENER, M., 1994, Operational urban models: state-of-the-art. Journal of the American Planning Association, 60, 17-29.
40. WHITE, R., and ENGELEN, G., 1997, Cellular automata as the basis of integrated dynamic regional modelling. Environment and Planning B, 24, 235-246.
41. WU, F., and WEBSTER, C. J., 1998, Simulation of land development through the integration of cellular automata and multi-criteria evaluation. Environment and Planning B, 25, 103-126.
42. WU, F., and WEBSTER, C. J., 2000, Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes. International Journal of Geographical Information Science, 14, 625-648.
43. YANG, X., 2000, Integrating image analysis and dynamic spatial modelling with GIS in a rapidly suburbanizing environment. PhD Dissertation, University of Georgia, Athens, Georgia.
44. YANG, X., 2002, Satellite monitoring of urban spatial growth in the Atlanta metropolitan area. Photogrammetric Engineering and Remote Sensing, 68, 725-734.
45. YANG, X., and LO, C. P., 2002, Using a time series of normalized satellite imagery to detect land use/cover change in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing, 23, 1775-1798.