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First published October 1998

High-Performance Computing and Geography: Developments, Issues, and Case Studies

Abstract

In this paper we outline some of the results that were obtained by the application of a Cray T3D parallel supercomputer to human geography problems. We emphasise the fundamental importance of high-performance computing (HPC) as a future relevant paradigm for doing geography. We offer an introduction to recent developments and illustrate how new computational intelligence technologies can start to be used to make use of opportunities created by data riches from geographic information systems, artificial intelligence tools, and HPC in geography.

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References

Batty M, 1976 Urban Modelling (Cambridge University Press, Cambridge)
Bezek J C, 1995, “What is computational intelligence?”, in Computational Intelligence: Imitating Life Eds Zurada J, Marks R, Robinson C, (IEEE, New York) pp 1–12
Birkin M, Clarke G, 1995, “Using microsimulation to synthesize census data”, in Census Users Handbook Ed. Openshaw S, (GeoInternational, Cambridge) pp 363–387
Birkin M, Clarke M, George F, 1995, “The use of parallel computers to solve nonlinear spatial optimisation problems” Environment and Planning A 27 1049–1068
Birkin M, Clarke M, Clarke G, Wilson A, 1996 Intelligent GIS (GeoInformation International, Cambridge)
Catlow R, 1992, “Research requirements for high performance computing”, report of the scientific working party, Science and Engineering Research Council, Polaris House, North Star Avenue, Swindon
Diplock G, Openshaw S, 1996, “Using simple genetic algorithms to calibrate spatial interaction models” Geographical Analysis 28 262–279
EPSRC, 1995, “A review of supercomputing 1994”, Engineering and Physical Science Research Council, Polaris House, North Star Avenue, Swindon
Fletcher R, 1987 Practical Methods of Optimization (John Wiley, Chichester, Sussex)
Gilbert G, Conte R, (Eds), 1995 Artificial Societies (UCL Press, London)
Gilbert G, Doran J, 1994 Simulating Societies: The Computer Simulation of Social Phenomena (UCL Press, London)
Gittings B, Roche S, 1996, “Parallel polygon line shading: The quest for more computational power from an existing GIS algorithm” International Journal of GIS 10 731–746
Harris B, 1985, “Some notes on parallel computing with special reference to transportation and land-use modelling” Environment and Planning A 17 1275–1278
Hillis W, 1992, “What is massively parallel computing and why is it important?”, in A New Era in Computation Eds Metropolis N, Rota G, (MIT Press, Cambridge, MA) pp 1–15
Koza J, 1992 Genetic Programming: On the Programming of Computers by Means of Natural Selection (MIT Press, Cambridge, MA)
O'Hare G, Jennings N, (Eds), 1995 Foundations of Distributed AI (John Wiley, Chichester, Sussex)
Openshaw S, 1977a, “A geographical solution to scale and aggregation problems in region building partitioning, and spatial modelling” Transactions of the Institute of British Geographers, New Series 2 459–472
Openshaw S, 1977b, “Optimal zoning systems for spatial interaction models” Environment and Planning A 9 169–184
Openshaw S, 1978a, “An empirical study of some zone design criteria” Environment and Planning A 10 781–794
Openshaw S, 1978b, “An optimal zoning approach to the study of spatially aggregated data”, in Spatial Representation and Spatial Interaction Eds Masser I, Brown P, (Martinus Nijhoff, Boston, MA) pp 95–113
Openshaw S, 1979, “A methodology for using models for planning purposes” Environment and Planning A 11 879–896
Openshaw S, 1984 The Modifiable Areal Unit Problem CATMOG 38 (Geo Abstracts, Norwich)
Openshaw S, 1988, “Building an automated modelling system to explore a universe of spatial interaction models” Geographical Analysis 20 31–46
Openshaw S, 1994a, “Computational human geography: Towards a research agenda” Environment and Planning A 26 499–505
Openshaw S, 1994b, “GIS crime and spatial analysis”, in Proceedings of GIS and Public Policy Conference (Ulster Business School, Coleraine, Ulster) pp 22–35
Openshaw S, 1994c, “A concepts-rich approach to spatial analysis, theory generation, and scientific discovery in GIS using massively parallel computing”, in Innovations in GIS 1 Ed. Warboys M, (Taylor and Francis, London) pp 123–138
Openshaw S, 1995, “Human systems modelling as a new grand challenge area in science” Environment and Planning A 27 262–279
Openshaw S, 1996, “Developing GIS-relevant zone-based spatial analysis methods”, in Spatial Analysis: Modelling in a GIS Environment Eds Longley P, Batty M, (GeoInformation International, Cambridge) pp 55–73
Openshaw S, Openshaw C, 1997 Artificial Intelligence in Geography (John Wiley, Chichester, Sussex)
Openshaw S, Rao L, 1995, “Algorithms for reengineering 1991 Census geography” Environment and Planning A 27 425–446
Openshaw S, Schmidt J, 1996, “Parallel simulated annealing and genetic algorithms for re-engineering zoning systems” Geographical Systems 3 201–220
Openshaw S, Carver S, Charlton M, 1991, “Error propagation in GIS: A Monte Carlo simulation”, in Handling Geographical Information: Methodology and Practical Applications Eds Masser I, Blakemore M, (Longman, Harlow, Essex) pp 78–101
Rees P, 1996, “Projecting the national and regional populations of the European Union using migration information”, in Population Migration in the European Union Eds Rees P, Stillwell J, Convey A, Kupiszewski M, (John Wiley, Chichester, Sussex) pp 331–364
Rogers A, 1995 Multiregional Demography: Principles, Methods and Extensions (John Wiley, Chichester, Sussex)
Turton I, Openshaw S, Diplock G, 1997, “A genetic programming approach to building new spatial interaction models relevant to GIS”, in Innovations in GIS Ed. Kemp Z, (Taylor and Francis, London) pp 89–102
Wilson A, 1974 Urban and Regional Models in Geography and Planning (John Wiley, Chichester, Sussex)

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Article first published: October 1998
Issue published: October 1998

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© 1998 SAGE Publications.
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History

Manuscript received: January 15, 1997
Revision received: October 27, 1997
Published online: October 1, 1998
Issue published: October 1998

Authors

Affiliations

I Turton
Centre for Computational Geography, School of Geography, University of Leeds, Leeds LS2 9JT, England
S Openshaw
Centre for Computational Geography, School of Geography, University of Leeds, Leeds LS2 9JT, England

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