GEOG470

Spatial Data Algorithms

Prerequisite: GEOG276 or permission of instructor. Jointly offered with: GEOG770. Credit only granted for: CMSC498Q, CMSC788I, GEOG470, GEOG498I, GEOG770, or GEOG788I. Formerly: GEOG498I. Geometric primitives and algorithms for discrete and continuous spatial data processing. Point data representation and analysis: spatial data structures, neighbor finding and range queries, clustering algorithms. Terrain modeling: grids and TINs, algorithms and data structures for building and querying TINs, gridding and interpolation. Terrain analysis: segmentation through watershed computation, algorithms for visibility computation. Applications to LiDAR data processing and analysis for forest management, urban modeling, and coastal data mapping.

Spring 2024

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Spring 2023

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Past Semesters

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* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.