Name
Abstract | ||
|---|---|---|
In terms of geometry, existing approaches for 3D GIS modelling can be classified into three types: surface-based, volume-based, and hybrids. These approaches are suitable for representing rigid geo-objects, but so far there are no ideal GIS modelling methods for simulation of soft geo-objects such as flowing water and soil. In this study, a GIS flow element (FE) and GIS soft voxel (SV) were used for simulation of overland flow and soil erosion. The length of a GIS FE is directly proportional to the velocity of overland flow, while the inclination of a GIS FE represents the direction of overland flow. The GIS SV is generated by implicit functions, which can be utilized to create a smoothed surface. This study reveals that GIS FEs can realistically represent the dynamics and stochastics of soft geo-objects, while GIS SVs can simulate deformation of soft geo-objects. Moreover, both of these approaches can reflect geoscientific laws because the animation of 3D scenarios is controlled by geoscientific models. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1080/13658810500287149 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE |
Keywords | Field | DocType |
3D simulation, overland flow, soil erosion, GIS flow element, GIS soft voxel | Data mining,Computer science,Simulation,Flow (psychology),Remote sensing,Surface runoff,3d simulation,Implicit function,Erosion | Journal |
Volume | Issue | ISSN |
20 | 3 | 1365-8816 |
Citations | PageRank | References |
6 | 0.63 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dayong Shen | 1 | 21 | 4.60 |
| Kaoru Takara | 2 | 6 | 0.96 |
| Yasuto Tachikawa | 3 | 6 | 1.30 |
| Yuling Liu | 4 | 6 | 0.63 |