Approaches to simulating the "March of Bricks and Mortar"

Computers, Environment and Urban Systems

Volumn 28, Issue 1-2, 2004, Pages 125-147

  Goldstein, Noah Charles ^a   Candau, J T ^a   Clarke, K C ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Interpolation; Urban growth; Urban modeling

Indexed keywords

BRICK; COMPUTER SIMULATION; INTERPOLATION; MORTAR; PUBLIC POLICY; URBAN PLANNING;

INTELLIGENT FORECASTING; URBAN DYNAMICS;

LAND USE;

INTERPOLATION; LAND USE; PLANNING METHOD; URBAN GROWTH; URBAN PLANNING;

EID: 0344256593     PISSN: 01989715     EISSN: None     Source Type: Trade Journal    
DOI: 10.1016/S0198-9715(02)00046-7     Document Type: Article

References (39)

1. Acevedo W. Masuoka P. Time-series animation techniques for visualizing urban growth Computers - Geosciences 23 4 1997 423-435
2. Arthur, S. T. (2001). A satellite based scheme for predicting the effects of land cover change on local microclimate and surface hydrology. Doctoral Thesis, Pennsylvania State University, Department of Meteorology.
3. Aspinall, R., - Hill, M. (2000). Urban growth-analysis, modelling and prediction of past, present and future land use changes in Gallatin Valley, Montana (1860-2010). In 4th International Conference on Integrating Geographic Information Systems (GIS) and Environmental Modeling, Banff, Canada, University of Colorado.
4. Batty M. Cellular automata and urban form: a primer Journal of the American Planning Association 63 2 1997 266-274
5. Batty M. Couclelis H. Eichen M. Urban systems as cellular automata Environment and Planning B-Planning - Design 24 2 1997 159-164
6. Batty M. Longley P. Fractal cities: a geometry of form and function 1994 Academic Press London, San Diego
7. Berg M.D. Computational geometry: algorithms and applications 2000 Springer Berlin, New York
8. Burrough P.A. McDonnell R. Principles of geographical information systems 1998 Oxford University Press Oxford, New York
9. Candau, J. (2000). Calibrating a cellular automaton model of urban growth in a timely manner. In 4th International Conference on Integrating Geographic Information Systems (GIS) and Environmental Modeling, Banff, Canada, University of Colorado.
10. Candau, J. T. (2002). Temporal calibration sensitivity of the SLEUTH urban growth model. Masters Thesis, Department of Geography, University of California, Santa Barbara.
11. Clarke K.C. Analytical and computer cartography 1995 Prentice Hall Englewood Cliffs NJ
12. Clarke K.C. Gaydos L.J. 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 12 7 1998 699-714
13. Clarke K.C. Hoppen S. Gaydos L. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area Environment and Planning B-Planning - Design 24 2 1997 247-261
14. Clarke, K. C., Hoppen, S., - Gaydos, L. J. (1996). Methods and techniques for rigorous calibration of a cellular automaton model of urban growth. In Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico, National Center for Geographic Information and Analysis.
15. Ford R. Cullom K. Santa Barbara wildfires: fire on the hills 1991 McNally - Loftin Santa Barbara CA
16. Forster B.C. An examination of some problems and solutions in monitoring urban areas from satellite platforms International Journal of Remote Sensing 6 1 1985 139-151
17. Gigalopolis, P. (2001). Project Gigalopolis, NCGIA. Available: http://www.ncgia.ucsb.edu/projects/gig/.
18. Goldstein, N. C., Candau, J. T., - Moritz, M. A. (2000). Historical Santa Barbara up in flames: a study of fire history and historical urban growth modeling. In 4th International Conference on Integrating Geographic Information Systems (GIS) and Environmental Modeling, Banff, Canada, University of Colorado.
19. Halls P. Bulling M. White P. Garland L. Harris Dirichlet neighbours: revisiting Dirichlet tessellation for neighborhood analysis Computers, Environment - Urban Systems 25 2001 105-117
20. Hester, D. J. a. F., - Mark, R. (2002). Landscape change modeling. Ground-water resources of the Middle Rio Grande Basin, New Mexico: US Geological Survey Circular 1222. J. R. Bartolino, - J. C. Cole.
21. Jackson J.M. Building an historic settlement database in GIS Allen K.M.S. Green S.W. Zubrow E.B.W. Interpreting space: GIS and archaeology 1990 274-283 Taylor - Francis London, New York
22. Lam N. Spatial interpolation methods: a review The American Cartographer 10 2 1983 129-149
23. Landis J.D. Zhang M. Using GIS to improve urban activity and forecasting models: three examples Fotheringham A.S. Wegener M. Spatial models and GIS: new potential and new models 2000 63-81 Taylor - Francis London, Philadelphia
24. Lee D. Sallee G. A method of measuring shape Geographical Review 60 1970 555-563
25. Liu, X., - Andersson, C. Assessing the impact of time representation on dynamic land use change modeling. Computers, Environment and Urban Systems (this issue).
26. Longley P.A. Batty M. Shepherd J. Shape size and dimension of urban settlements Transactions, Institute of British Geographers 16 1 1990 75-94
27. McGarigal K. Marks B.J. Pacific Northwest Research Station (Portland OR) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure 1995 US Department of Agriculture Forest Service Pacific Northwest Research Station Portland OR
28. Milne B.T. The utility of fractal geometry in landscape design Landscape and Urban Planning 21 N1-2 1991 81-90
29. Onsted, J. (2002). SCOPE: an application and modification of the Forrester model to the South Coast of Santa Barbara County. Masters thesis, Department of Geography, University of California, Santa Barbara.
30. Peuquet D. Time and GIS and geographical databases Longley P. Goodchild M. Maguire D. Rhind D. Geographical information systems: principles, techniques, management and applications 1999 91-103 John Wiley - Sons New York
31. Sanborn Map Company Insurance maps of Santa Barbara, California: including Miramar and Summerland 1907 Sanborn Map Company New York
32. Semboloni F. An urban and regional model based on cellular automata Environment and Planning B-Planning - Design 24 4 1997 589-612
33. Silva, E. A., - Clarke, K. C. (2002). Calibration of the SLEUTH Urban Growth Model for Lisbon and Porto, Portugal. Computers, Environment and Urban Systems 26, 525-552.
34. Steinitz C. A framework for theory and practice in landscape planning GIS Europe 1993 42-45
35. Sutton P. Roberts D. Elvidge C. Baugh K. Census from Heaven: An estimate of the global human population using night-time satellite imagery International Journal of Remote Sensing 22 16 2001 3061-3076
36. Torrens, P. M. (2000). How cellular models of urban systems work, Centre for Advanced Spatial Analysis: http://www.casa.ucl.ac.uk/ how_ca_work.pdf (08/2002).
37. White R. Engelen G. Cellular automata and fractal urban form- a cellular modelling approach to the evolution of urban land-use patterns Environment - Planning a 25 8 1993 1175-1199
38. White R. Engelen G. Cellular automata as the basis of integrated dynamic regional modelling Environment and Planning B-Planning - Design 24 2 1997 235-246
39. Wu F. Simulating urban encroachment on rural land with fuzzy-logic-controlled cellular automata in a geographical information system Journal of Environmental Management 53 4 1998 293-308