Encyclopedia of GIS

2017 Edition
| Editors: Shashi Shekhar, Hui Xiong, Xun Zhou

Geographic Dynamics, Visualization and Modeling

  • May Yuan
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-17885-1_463



Generally speaking, dynamics is the work of forces (or energy) that produces movement and change in a system and manifests interrelationships among the elements of space, time, and forces. Geographic dynamics centers upon such interrelationships near the surface of the Earth and often across physical, biological, and human domains. While the term, geographic dynamics is less popular than terms like atmospheric dynamics and geological dynamics, the concept of geographic dynamics is deeply rooted in a broad range of geographic studies. Time, like space, is fundamental to time geography, historical geography, cultural geography, environmental geography, biogeography, geomorphology, climatology, hydrology, and many other fields of geography....

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  1. Armstrong MP, Cowles MK, Wang S (2005) Using a computational grid for geographic information analysis: a reconnaissance. Prof Geogr 57:365–375CrossRefGoogle Scholar
  2. Batty M (2005) Agents, cells, and cities: new representational models for simulating multiscale urban dynamics. Environ Plan A 37:1373–1394CrossRefGoogle Scholar
  3. Bithell M, Macmillan WD (2007) Escape from the cell: spatially explicit modeling with and without grids. Ecol Model 200:59–78CrossRefGoogle Scholar
  4. Dibiase D, Maceachren AM, Krygier JB, Reeves C (1992) Animation and the role of map design in scientific visualization. Cartogr Geogr Inf Syst 19:201–214CrossRefGoogle Scholar
  5. Dietzel C, Clarke KC (2006) Decreasing computational time of urban cellular automata through model portability. GeoInformatica 10:197–211CrossRefGoogle Scholar
  6. Gahegan M, Hardisty F, Takatsuka M, Wheeler M (2002) Introducing geo VISTA studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography. Comput Environ Urban Syst 26:267–292CrossRefGoogle Scholar
  7. Harrower M (2004) A look at the history and future of animated maps. Cartographica 39:33–42CrossRefGoogle Scholar
  8. Komarov AS, Palenova MM, Smirnova OV (2003) The concept of discrete description of plant ontogenesis and cellular automata models of plant populations. Ecol Model 170:427–439CrossRefGoogle Scholar
  9. Kwan M-P (2004) GIS methods in time-geographic research: geocomputation and geovisualization of human activity patterns. Geogr Ann Ser B Hum Geogr 86: 267–280CrossRefGoogle Scholar
  10. McIntosh J, Yuan M (2005) Assessing similarity of geographic processes and events. Trans GIS 9:223–245CrossRefGoogle Scholar
  11. Miller HJ (1999) Measuring space-time accessibility benefits within transportation networks: basic theory and computational procedures. Geogr Anal 31:187–212CrossRefGoogle Scholar
  12. Monmonier M (1992) Summary graphics for integrated visualization in dynamic cartography. Cartogr Geogr Inf Syst 19:23–36CrossRefGoogle Scholar
  13. Slocum TA, Montello DR, Fuhrmann S, Hedley NR, Blok C, Jiang B, Koussoulakou A (2001) Cognitive and usability issues in geovisualization. Cartogr Geogr Inf Sci 28:61–75CrossRefGoogle Scholar
  14. Tobler WR (1970) A computer movie simulating urban growth in the Detroit region. Econ Geogr 46:234–240CrossRefGoogle Scholar
  15. Torrens PM (2006) Simulating sprawl. Ann Assoc Am Geogr 96:248–275CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • May Yuan
    • 1
  1. 1.Department of Geography and Center for Spatial AnalysisUniversity of OklahomaNormanUSA