Page 30 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
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26                                                              Chapter 2













             Fig. 2-3. Topological relationships between geo-objects remain unchanged under transformation.


             relationships between geo-objects are independent of map scale or measurement scales
             and are preserved even under transformations to various map projections (Fig. 2-3). A
             disadvantage of the topological model is that defining spatial relationships between geo-
             objects during spatial data capture and map editing can be time-consuming.
                Because a vector model represents geo-objects in 2-D space, it is not an appropriate
             model for surface variables such as topographic elevations, element concentrations of
             surficial materials, geophysical properties, etc. Although data for surface variables can
             be stored as a series of multi-valued points or a series of isoline contours in a vector
             model, a vector model does not adequately represent nor readily support calculation of
             surface characteristics (e.g., slope). Data of surface variables require  2.5-D
             representation such as tessellations of polygonal  planar patches called triangulated
             irregular networks (TIN), which are usually treated as a vector model.
                A TIN is constructed by connecting points of data (with x,y coordinates and z-values)
             to form a continuous  network  of triangles (Fig. 2-4).  Note that a TIN can also  be
             generated from points derived from isoline contours.  There are various triangulation
             methods, but the most favoured is the Delaunay triangulation technique, which is a dual
             product of  Thiessen or  Voronoi or  Dirichlet tessellations of polygons.  The triangular
             facets defined represent  planes  with similar surface characteristics such as slope and
             aspect. A TIN  model is adequate to represent geometry and topology of a surface, is
             efficient in data storage and can be locally manipulated to represent surface complexity
             by using breaklines (e.g., terrain discontinuities such as rivers or ridges on topographic
             surfaces). It is a significant alternative to surface representations based on regular grids.













             Fig. 2-4. A triangulated irregular network (TIN) by Delaunay triangulation. Triangles are defined
             by three points forming circumcircles not containing another point.
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