GEOG 379 Lecture Notes - Lecture 15: Cartesian Coordinate System, 2.5D, Viewshed

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GEOG 379 Lecture Notes
Week 15
4/25 Basics of 3D GIS
What is 3D GIS?
An extension of 2-D GIS, with an additional dimension for height or elevation
Extends GIS capability to build, visualize, and analyze data in three dimension
Good for applications requiring elevation or depth of earth surface
Can also be applied for temporal analysis
Application of 3D GIS
Engineering design of mines, quarries, dams, etc.
Geological/geophysical exploration
Scientific explanation of 3D processes such as ocean currents or lava flows
Visual analysis of any new development in a city
Perform visibility or viewshed analysis
2D, 2.5D, 3D, and 4D GIS
Two-dimensional (2D): based on Cartesian coordinate system, limited to representation of data
on planar surface
Two and one half-dimensional (2.5D): qasi 3-D representation through the use of surfaces or
terrain through (x, y) and attribute values
Three-dimensional (3D): extends to include a volume element in 3D space
Four-dimensional (4D): an additional dimension for time; show processes that occur in nature
and through time
Digital Surface/Terrain Model (DTM)
2.5D surfaces are also referred to as Digital Terrain Model (DTM)
Raster format with cell values for additional dimension (z-variable) representing height variation
Any other cell values can also be converted to DTM: temperature, visual assessment, etc.
Spatial Interpolation
Predicting value at unknown locations based on dispersed sample points with known value is
called Spatial Interpolation
Broadly two types
o Local estimations: gives priority to local influence
o Global approximation: uses all values in the grid; gives more smooth surface
Triangulated Irregular Network (TIN)
The TIN model represents a surface as a set of contiguous, non-overlapping triangles
It consists of nodes containing z-values, connected by edges to form triangular facets
TIN can be created (interpolated) from point, line, or polygon themes
TINs are usually created from a combination of vector data sources
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