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TIN
A TIN (Triangulated Irregular Network) is a kind of digital surface model that is commonly employed in GIS to accurately model terrain and elevation. It provides an uninterrupted three-dimensional surface through connecting a series of irregularly located points of elevation data into a system of triangular cells that do not overlap each other. Contrary to regularly placed points of elevation on raster grids, TIN places higher number of elevation points in areas with fast-changing terrain and smaller number of points in areas with rather flat terrain. This allows creating the most detailed terrain models while ensuring optimal data usage. TINs are commonly applied in GIS, surveying, topographic mapping, civil engineering, land development, and terrain analysis. TIN models can be created through using elevation data, including survey points, LiDAR measurements, contour lines, and digital elevation models (DEMs). The major applications of TINs include slope and aspect analysis, creation of contours, watershed modeling, drainage analysis, 3D terrain visualization, cut-and-fill calculation, and surface modeling.
Triangulated Irregular Network (or simply TIN) is a type of vector-based surface model that is used in GIS to depict terrain, elevation, and other surfaces. A TIN is formed from irregularly spaced elevation points connected to create a network of triangles with each one representing some part of the surface.
The advantages of TIN models include their suitability for digital terrain modeling, topographic mapping, land surveying, engineering, and three-dimensional visualization in GIS. Since it is possible to group points in regions where there are big differences in elevations, a TIN will be able to accurately represent such features as ridges, valleys, slopes and so on.
TIN data may be derived from various sources like surveys, laser scanning data, contour lines, observations, and DEMs. A TIN can be used for creation of contours, slope and aspect calculations, analysis of drainage, cut-and-fill volume estimation, and other analyses.
As compared with regular raster-based elevation models, TINs are more flexible in situations when the terrain features are rather irregular. This makes TINs a very important data structure for people working in GIS, remote sensing, surveying, civil engineering and spatial analysis.
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