Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39041
Title: On 3D gIS spatial modeling
Authors: Wang, YB
Wu, LX
Shi, WZ 
Liu, XM
Issue Date: 2007
Source: ISPRS Workshop on Updating Geo-spatial Databases with Imagery & The 5th ISPRS Workshop on DMGISs - Geo-information Management & Application session, v. 3, Urumqi, China, 28-29 August 2007, p. 237-240 How to cite?
Abstract: 3D city spatial data are the main research objects in GIS. 3D city spatial data have the characteristics of multi-object, heterogeneity and multi-structure. It could be classified referring to the geo-surface into three kinds: above-surface data, surface data andsubsurface data. The current research on 3D city spatial information system is divided naturally into two different branch, 3D City GIS (3D CGIS) and 3D Geological Modeling (3DGM). The former emphasizes on the 3D visualization of buildings and the terrain of city, while the latter emphasizes on the visualization of geological bodies and structures.
3D Spatial Modeling is the key to 3D GIS, and is the basis of 3D GIS. All kinds of 3D spatial modeling methods are different with the difference of modeling objects. Based on the difference of spatial modeling objects, 3D spatial modeling methods are divided into two kinds, one is Geographical Spatial Modeling, and another is Geological Spatial Modeling. Geographical Spatial Models mainly include 3D FDS, n Tuple model, Simplified Spatial Model (SSM), Urban Data Model (UDM), OO3D model, etc. Geological Spatial Models mainly include 3D-TIN, Grid, TEN, Octree, Solid Model, GTP, etc. And some integrated models as TIN+CSG, TIN+Octree, TEN+Octree. With the contrast of all the 3D spatial modeling methods, this paper also present some key issues on 3D spatial data modeling.
URI: http://hdl.handle.net/10397/39041
Appears in Collections:Conference Paper

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