A new age for geosimulation

Transactions in GIS

Volumn 9, Issue 4, 2005, Pages 451-454

  Albrecht, Jochen ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEW AGE;

EID: 33745248095     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/j.1467-9671.2005.00228.x     Document Type: Editorial

References (22)

1. Beguin H and Thiesse J 1979 An axiomatic approach to geographical space. Geographical Analysis 11: 325-41
2. Benenson I and Torrens P 2004 Geosimulation: Automata-based Modeling of Urban Phenomena. Chichester, John Wiley and Sons
3. Bertuglia C 1987 Urban Systems: Contemporary Approaches to Modeling. London, Routledge
4. Brown D, Riolo R R, Robinson D, North M and Rand W 2005 Spatial process and data models: Toward integration of agent-based models and GIS. Journal of Geographical Systems 7: 25-47
5. Casti J 2002 'Biologizing' control theory: How to make a control system come alive. Complexity 7(4): 10-2
6. Haack S 1995 Evidence and Inquiry: Towards Reconstruction in Epistemology. London, Blackwell
7. Hägerstrand T 1976 The space-time trajectory model and its use in the evaluation of systems of transportation. In Matzner E and G Rüsch (eds) Transport as an Instrument for Allocating Space and Time: A Social Science Approach. Vienna, Technical University of Vienna, Institute of Public Finance Report No 11: 34-55
8. Luhmann N 2002 The modernity of science. In Rasch W (ed) Theories of Distinction: Redescribing the Descriptions of Modernity. Stanford, CA, Stanford University Press: 61-75
9. McGuinness D and F van Harmelen (eds) 2004 OWL Web Ontology Language Overview: W3C Recommendation. WWW document, http://www.w3.org/TR/2004/REC-owl-features-20040210/
10. McIntosh J and Yuan M 2005 Assessing similarity of geographic processes and events. Transactions in GIS 9: 223-45
11. Miller H 2005 A measurement theory for time geography. Geographical Analysis 37: 17-45
12. OMG 2004 Unified Modeling Language: Superstructure, version 2.0. Needham, MA, Object Management Group Inc.
13. O'Sullivan D 2004 Too much of the wrong kind of data: Implications for the practice of micro-scale spatial modelling. In Goodchild M F and Janelle D (eds) Spatially Integrated Social Science: Examples of Best Practice. Oxford, Oxford University Press: 95-107
14. Portugali J and Benenson I 1996 Human agents between local and global forces in a self-organizing city. In Schweitzer F (ed) Self-Organization of Complex Structures: From Individual to Collective Dynamics. London, Gordon and Breach: 537-46
15. Pumain D 1991 Commentary: Plea for the experimentation and comparison of dynamic models. Environment and Planning A 23: 463-4
16. Rosen R 1985 Anticipatory Systems: Philosophical, Mathematical, and Methodological Foundations. Oxford, Pergamon Press
17. Reitsma F and Albrecht J 2005 Implementing a new data model for simulating processes. International Journal for Geographical Information Science 19: In press
18. Sanders L 1996 Dynamic modelling of urban systems. In Fischer M, Scholten H, and Unwin D (eds) Spatial Analytical Perspectives on GIS. London: Taylor and Francis: 229-44
19. Sonis M 1997 Linear bifurcation analysis with applications to relative socio-spatial dynamics. Discrete Dynamics in Nature and Society 1: 45-56
20. Waddell P, Borning A, Noth M, Freier N, Becke M and Ulfarsson G 2003 Microsimulation of urban development and location choices: Design and implementation of UrbanSim. Networks and Spatial Economics 3: 43-67
21. Wilson A 1970 Entropy in Urban and Regional Modelling. London, Pion
22. Yuan M 1999 Use of a three domain representation to enhance GIS support for complex spatiotemporal queries. Transactions in GIS 3: 137-59