Abstract
Interpolated generalization, which can address feature displacement, simplification, and smoothing, employs a small-scale representation B to guide the generalization of large-scale representation A to produce an intermediate-scale representation C with an appropriate level of detail and without overlapping symbols. In relying upon the skill and insight of the expert cartographer who developed the small-scale representation, interpolated generalization offers a parsimonious expert-systems strategy that can yield a more graphically straightforward, more geographically meaningful display than "more traditional' artificial intelligence approaches based on predicate calculus and IF-THEN rule bases. -from Author
Original language | English (US) |
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Pages (from-to) | 256-265 |
Number of pages | 10 |
Journal | Unknown Journal |
State | Published - 1988 |
ASJC Scopus subject areas
- General Environmental Science
- General Earth and Planetary Sciences