AM-62 - Approaches to point, line, and area generalization
You are currently viewing an archived version of Topic Point, Line, and Area Generalization.
If updates or revisions have been published you can find them at Point, Line, and Area Generalization.
Learning Objectives:
Describe the basic forms of generalization used in applications in addition to cartography (e.g., selection, simplification)
Explain why areal generalization is more difficult than line simplification
Explain the logic of the Douglas-Poiker line simplification algorithm
Explain the pitfalls of using data generalized for small scale display in a large scale application
Design an experiment that allows one to evaluate the effect of traditional approaches of cartographic generalization on the quality of digital data sets created from analog originals
Evaluate various line simplification algorithms by their usefulness in different applications
Discuss the possible effects on topological integrity of generalizing data sets
You are currently viewing an archived version of Topic Point, Line, and Area Generalization. If updates or revisions have been published you can find them at Point, Line, and Area Generalization.
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