Multim im parvo— Many Things in a Small Place

Exploring Geovisualization

Volumn , Issue , 2005, Pages 313-324

  Wood, Jo ^a  

^a CITY UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35948929665     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008044531-1/50433-4     Document Type: Chapter

References (17)

1. L. Bian (1997) Multiscale nature of spatial data in scaling up environmental models. D. Quattrochi, M. Goodchild,(Eds) Scale in Remote Sensing and GIS 13-26.
2. S. Davies and P. Hall (1999) Fractal analysis of surface roughness by using spatial data. Journal of the Royal Statistical Society, Series B 61(1), 3-37.
3. W. de Boer (2000) Fast Terrain Rendering Using Geometrical MipMapping. (23/10/03) Online
4. P. Fisher and J. Wood (1998) What is a mountain? Or the Englishman who went up a Boolean geographical concept but realised it was fuzzy. Geography 83(3), 247-256.
5. P. Fisher, J. Wood and T. Cheng (2004) Where is Helvellyn? Fuzziness in multi-scale analysis of landscape morphometry. Transactions of the Institute of British Geographers 29(1), 106-128.
6. J. Gallant and M. Hutchinson NCGIA (1996) Towards an understanding of landscape scale and structure. Proceedings of the Third International Conference on Integrating GIS and Environmental Modelling http://www.ncgia.ucsb.edu/conf/SANTA_FE_CDROM/sf_papers/gallant_john/paper.html Santa Barbara: University of California Online
7. R. Kahler, M. Simon and H.-C. Hege (2003) Interactive volume rendering of large sparse data sets using adaptive mesh refinement hierarchies. IEEE Transactions on Visualization and Computer Graphics 9(3), 341-351.
8. N. Lam and D. Quattrochi (1992) On issues of scale, resolution, and fractal analysis in the mapping sciences. Professional Geographer 44 88-98.
9. D. Mark and P. Aronson (1984) Scale-dependent fractal dimensions of topographic surfaces: an empirical investigation with applications in geomorphology and computer mapping. Mathematical Geology 16(7), 671-683.
10. D. Mulla (1988) Using geostatistics and spectral analysis to study spatial patterns in the topography of southeastern Washington State, USA. Earth Surface Processes and Landforms 13 389-405.
11. M. Oliver and R. Webster (1986) Semivariograms for modelling the spatial pattern of landform and soil properties. Earth Surface Processes and Landforms 11 491-504.
12. R. Pike and W. Rozema (1975) Spectral analysis of landforms. Annals of the Association of American Geographers 65(4), 499-516.
13. S. Roettger, W. Heidrich, P. Slusallek and H.-P. Seidel (1998) Real-time generation of continuous levels of detail for height fields. V. Skala,(Eds) Proceedings. WSCG '98 315-322. Onlinestuttgart.de/~roettger/html/Main/papers.html
14. N. Tate and J. Wood (2001) Fractals and scale dependencies in topography. N. Tate, P. Atkinson,(Eds) Scale in Geographical Information Systems Chichester: Wiley 35-51.
15. M. Woo, J. Neider, T. Davis and D. Shreiner (2003) OpenGL Programming Guide: The Official Guide to Learning OpenGL Version 1.4. London: Wesley
16. J. Wood (1998) Modelling the continuity of surface form using digital elevation models. T. Poiker, N. Chrisman,(Eds) Proceedings, Eighth International Symposium on Spatial Data Handling Vancouver: IGU 725-736.
17. J. Wood (2002) Visualising the structure and scale dependency of landscapes. P. Fisher, D. Unwin,(Eds) Virtual Reality in Geography London: Taylor and Francis 163-174.