Color Figures for


by Helena Mitasova, William M. Brown, Lubos Mitas, & Steven Warren

paper no. 973034 presented at
The 1997 ASAE Annual International Meeting
Minneapolis Convention Center, Minneapolis, MN.
August 10-14, 1997

Summary: The development of distributed landscape process models based on multi-variate fields stimulates the development of a new generation GIS technology designed for processing, analysis and visualization of 3D spatio-temporal data. The new technology includes tools for transformation of multivariate point data to multidimensional rasters and for visual analysis of these data by displaying multiple surfaces and volumes in an appropriate projection of 3D space together with vector and point data. Scripting tools provide capabilities for creation of animations representing dynamic processes. Interactive visualization over the Internet is supported by a translator of the georeferenced data to Virtual Reality Modeling Language (VRML) format files. The capabilities of the new tools are illustrated by application to the development and evaluation of a complex soil erosion model.

Keywords: interpolation, visualization, GIS, soil model

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Figure 1. Representation of landscape phenomena as multivariate fields with interpolation using RST method.

Figure 2. Spatial interpolation methods available in GIS for DEM construction.

Figure 3. Impact of interpolation on the results of landscape process simulations.

Figure 4. Topographic analysis of curvatures by RST.

Figure 5. Net erosion/deposition at various resolutions.

Figure 6. Spatial distribution of sediment flow estimated at different resolutions.

Figure 7. Spatial distribution of erosion/deposition estimated at different resolutions.

Figure 8. Water depth, sediment flow, and erosion/deposition rates predicted by SIMWE.

Figure 9. Volume models of soil properties interpolated from point data.

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