A Framework for augmenting the visualization of dynamic raster surfaces

Information Visualization

Volumn 2, Issue 2, 2003, Pages 126-139

  Rana, Sanjay ^a   Dykes, Jason ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b CITY UNIVERSITY   (United Kingdom)

Author keywords

Animated maps; blending; cartography; dynamic surfaces; fading; morphometric features; surface networks

Indexed keywords

EID: 84998044418     PISSN: 14738716     EISSN: 14738724     Source Type: Journal    
DOI: 10.1057/palgrave.ivs.9500043     Document Type: Article

References (69)

1. Bertin J. Semiologie Graphique. Mouton: Paris, 1967.
2. Emmer NNM. Determining the effectiveness of animations to represent geo-spatial temporal data: a first approach. In: 4th Association of Geographic Information Laboratories in Europe Conference on Geographic Information Science (Brno, Czech Republic, 2001), 585–589.
3. Ogao PJ, Blok CA. Cognitive aspects on the representation of dynamic environmental phenomena using animations. In: Rautenstrauch C, Patig S, (Eds). Environmental Information Systems in Industry and Public Administration. Idea Group Publishers: U.S.A., 2001; 13–24.
4. Ogao PJ, Kraak M-J. Geospatial data exploration using interactive and intelligent cartographic animations. In: International Cartographic Conference (Beijing, China, 2001), 2649–2657.
5. Morrison JB, Betrancourt M, Tverksy B. Animation: does it facilitate learning? In: American Association of Artificial Intelligence Spring Symposium Smart Graphics 2000 (Stanford, CA, 2000), 53–60.
6. Slocum TA, Robeson SH, Egbert SL. Traditional versus sequenced choropleth maps: An experimental investigation. Cartographica 1990; 27: 67–88.
7. Earnshaw RA, Watson D. Animation and Scientific Visualization: Tools and Applications. Academic Press: London, 1993; 285pp.
8. Mitas L, Brown WM, Mitasova H. Role of dynamic cartography in simulations of landscape processes based on multi-variate fields. Computers and Geosciences 1997; 23: 437–446.
9. Moellering H. The automated mapping of traffic crashes. Survey and Mapping 1973; 33: 467–477.
10. Hayward S. Computers for Animation. Page Bros: Norwich, 1984.
11. Koussoulakou A. Computer-assisted cartography for monitoring spatiotemporal aspects of urban air pollution. Ph.D. thesis, Delft Press: University of Delft, Netherlands, 1990.
12. Dibiase D, MacEachren AM, Krygier JB, Reeves C. Animation and the role of map design in scientific visualization. Cartography and Geographic Information Systems 1992; 19: 201–204.
13. McCloud S. Understanding Comics. Kitchensink Press: Northampton, U.S.A., 1993.
14. Peterson MP. Interactive cartographic animation. Cartography and Geographical Information Systems 1993; 20: 40–44.
15. MacEachren AM. How Maps Work: Issues in Representations and Design. Guildford Press: New York, 1994.
16. Shepherd IDH. Putting time on the map: Dynamic displays in data visualization and GIS, In: Fisher P F, (Ed). Innovations in GIS 2. Taylor & Francis: London, 1995; 169–187.
17. Ware C. Information Visualization: Perception for Design. Morgan Kaufmann: California, 2000; 438pp.
18. Gershon ND. Visualization of fuzzy data using generalized animation. Visualization 1992, (Boston, MA, U.S.A., 1992), IEEE Computer Society Press: Los Alamitos, 268–273.
19. Acevedo W, Masuoka P. Time-series animation techniques for visualizing urban growth. Computers and Geosciences 1997; 23: 423–435.
20. Haslett J, Wills G, Unwin AR. SPIDER - an interactive statistical tool for the analysis of spatially distributed data. International Journal of Geographical Information Systems 1990; 4: 285–296.
21. Dykes JA. Scripting dynamic maps: Some examples and experiences with Tcl/Tk. In: Cartwright W, Peterson MP, Gartner G, (Eds). Multimedia Cartography. Springer-Verlag: Berlin, 1999; 195–204.
22. Kreuseler M. Visualization of geographically related multidimensional data in virtual 3D scenes. Computers and Geosciences 2000; 26: 101–108.
23. Gahegan M. Four barriers to the development of effective exploratory visualization for the geosciences. International Journal of Geographical Information Science 1999; 13: 289–309.
24. Openshaw S, Waugh D, Cross A, Some ideas about the use of map animation as a spatial analysis tool. In: HearnshawHM, UnwinDJ, (Eds). Visualization in Geographical Information Systems. Wiley and Sons: Chichester, 1994; 131–138.
25. Dorling D. Stretching space and splicing time: From cartographic animation to interactive visualization. Cartography and Geographical Information Systems 1992; 19: 215–227.
26. Slocum T. Thematic Cartography and Visualization. Prentice-Hall: Upper Saddle River, NJ, 1999; 224pp.
27. Center for International Earth Science Information Network. AIDS Data Animation Project [WWW document] http://www.ciesin.org/datasets/cdc-nci/cdc-nci.html (accessed 16 March 2002).
28. MacEachren AM. Some Truth with Maps: A Primer on Design and Symbolization. Assocation of American Geographers: Washington DC, 1994; 129pp.
29. Cartwright W, Crampton J, Gartner G, Miller S, Mitchell K, Siekierska E, Wood J. User interface issues for spatial information. Cartography and Geographic Information Science 2001; 28: 45–60.
30. Slocum T, Yoder SC, Kessler FC, Sluter RS. MapTime: Software for exploring spatio-temporal data associated with point locations. Cartographica 2001; 37: 14–32.
31. Microcomputer Speciality Group of American Association of geographers. MapTime software by Steve Yoder on CD #1 [WWW document] http://wolf.its.ilstu.edu/microcam/msg/g73.htm (accessed 16 March 2002).
32. Herzog A. Die Polygonfilterung als Methode zur automatischen Generalisierung von statistischen Oberflächen. Geoprocessing Series: University of Zurich, 1993; 198pp.
33. Census Dissemination Unit. Surfpop v2.0: Background to census surface models [WWW document] http://census.ac.uk/cdu/software/surpop/background.html (accessed 17 March 2003).
34. Gatrell A. Density estimation and the visualization of point systems. In: HearnshawHM, UnwinDJ, (Eds). Visualization in Geographical Information Systems. Wiley and Sons: Chichester, 1994; 65–75.
35. Bracken I. Towards improved visualization of socio-economic data. In: HearnshawHM, UnwinDJ, (Eds). Visualization in Geographical Information Systems. Wiley and Sons: Chichester, 1994; 76–84.
36. Paddenburg AV, Wachowicz M. The effect of generalisation on filtering noise for spatio-temporal analyses. In: 6th International Conference on GeoComputation (Brisbane, Australia, 2001), On CD-ROM.
37. Wood JD. Modelling the continuity of surface form using digital elevation models. In: 8th International Symposium on Spatial Data Handling (Vancouver, Canada, 1998), 725–736.
38. Raper J. Multidimensional Geographic Information Systems. Taylor & Francis: London, 2000; 300pp.
39. Gomes J, Costa B, Darsa L, Velho L. Warping & Morphing of Graphical Objects. Morgan Kaufmann: CA, 1998, 490pp.
40. Discreet. 3D Studio Max [WWW document] http://www.discreet.com/products/3dsmax/ (accessed 16 March 2002).
41. Miller GA. The magical number seven plus, or minus two: Some limits on our capacity for processing information. The Psychological Review 1956; 63: 81–97.
42. Tobler WR. A computer movie simulating urban growth in the Detroit region. Economic Geography 1970; 46: 234–240.
43. Dransch D. The use of different media in visualizing spatial data. Computers and GeoSciences 2000; 26: 5–9.
44. Bajaj C, Schikore DR. Visualization of scalar topology for structural enhancement. Technical Report CSD-TR-96-006, Department of Computer Sciences: Purdue University, 1996; 8pp.
45. Fowler RJ, Little JJ. Automated extraction of irregular network digital terrain models. Computer Graphics 1979; 13: 199–207.
46. Helman JL, Hesselink L. Visualizing vector field topology in fluid flows. IEEE Computer Graphics and Applications 1991; 11: 36–46.
47. Upson C, Kerlick D. Volumetric Visualization Techniques. In: 192D and 3D Visualization Workshop’, 2nd Association for Computing Machinery SIGGRAPH Symposium on User Interface Software and Technology. (Williamsburg, VA, USA, 1989), Tutorial No. 13, 86pp.
48. Kerlick GD. Moving iconic objects in scientific visualization. In: IEEE Conference on Visualization 1990 (San Francisco, California, USA, 1990), 124–129.
49. Wood JD. The geomorphological characterisation of Digital Elevation Models. Ph.D. thesis. Department of Geography: University of Leicester, 1996.
50. Wolf GW. A mathematical model of cartographic generalization. Geo-Processing 1984; 2: 271–286.
51. Wood J, Rana S. Construction of weighted surface networks for the representation and analysis of surface topology, In: 5th International Conference on GeoComputation (University of Greenwich, UK, 2000), On CD-ROM.
52. Peucker TK, Douglas D. Detection of surface-specific points by local parallel processing of discrete terrain elevation data. Computer graphics, Visions and Image Processing 1975; 4: 375–387.
53. Takahashi S, Ikeda T, Shinagawa Y, Kunii TL, Ueda M. Algorithms for extracting correct critical points and constructing topological graphs from discrete geographical elevation data. The International Journal of the Eurographics Association 1995; 14: C181–C192.
54. Quattrochi DA, Goodchild MF. Scale in Remote Sensing and Geographical Information Systems. Lewis Publishers: Boca Raton, FL, 1996; 406pp.
55. Lindeberg T. Scale-space Theory in Computer Vision. Kluwer Academic Press: Dordrecht, 1994; 423pp.
56. Stark JL, Murtagh F, Bijaoui A. Image Processing and Data Analysis – The Multiscale Approach. Cambridge University Press: Cambridge, 1998; 297pp.
57. Emerson CW, Quattrochi DA. Applications of fractal analytical techniques in the estimation of operational scale. International Archives of Photogrammetry and Remote Sensing 2000; 33: 402–407.
58. Csillag F. Quadtrees: Hierarchical Multiresolution Data Structures for Analysis of Digital Images. In: QuattrochiDA, GoodchildMF, (Eds). Scale in Remote Sensing and GIS. Lewis Publishers: Boca Raton, FL, 1996; 247–271.
59. Levy MA, Pollack HN, Pomeroy PW. Motion picture of the seismicity of the earth, 1961–1971. Bulletin of the Seismological Society of America 1970; 60: 1015–1016.
60. Eddy WF, Mockus A. An example of the estimation and display of a smoothly varying function of time and space - the incidence of mumps disease. Journal of the American Society for Information Science 1994; 45: 686–693.
61. Crampton JW. Interactivity types in geographic visualization. Cartography and Geographic Information Science 2002; 29: 85–98.
62. Ousterhout J. Tcl and the Tk Toolkit. Addison-Wesley: Reading, MA, 1994; 458pp.
63. Scriptics. Tcl Developer Xchange [WWW document] http://www.scriptics.com (accessed 16 March 2002).
64. Krygier JB, Reeves C, DiBiase DW, Cupp J. Design, implementation and evaluation of multimedia resources for geography and earth science education. Journal of Geography in Higher Education 1997; 21: 17–39.
65. Wood J. LandSerf: visualisation and analysis of terrain models [WWW document] http://www.soi.city.ac.uk/∼jwo/landserf/ (accessed 16 March 2002).
66. ESRI. ArcView 3.X [WWW document] http://www.esri.com/software/arcview/index.html (accessed 16 March 2002).
67. Dykes J, Rana S. Augmenting visualization of dynamic raster surfaces [WWW document] http://www.soi.city.ac.uk/∼jad7/snv/ (accessed 17 March 2003).
68. Blok C, Kobben B. A Web Cartography Forum: an evaluation site for visualization tools [WWW document] http://www.itc.nl/∼carto/research/webcartoforum/ (accessed 16 March 2002).
69. Rhyne TM. Going virtual with geographic information and scientific visualization. Computers and Geosciences 1997, 23: 489–491.