Analogs Between Class-Interval Selection and Location-Allocation Models
Bibliographic Data
| ID | 14701641 |
|---|---|
| Authors | MARK S MONMONTER (Syracuse University, corresponding author) |
| Year | 1973 |
| Volume | 10 |
| Issue | 2 |
| Pages | 123-132 |
| Publication date | 1973-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/p870-7x12-52q2-1v6n |
| OpenAlex | W1965378437 |
| Language | EN |
| Citations received | 4 |
Significant parallels exist between the problem of locating multiple facilities to serve numerous demand points and the problem of dividing data values into categories for choroplethic mapping. Heuristic techniques developed for solving location-allocation problems can be used to solve the statistical part of the class-interval problem using a variety of objective criteria. Psychophysical research on map perception should attempt to determine measurable properties of a map pattern that are important in increasing visual effectiveness and that can be employed either in objective functions or as constraints for computerized optimization algorithms
Class (philosophy · Data mining · Heuristic · Interval (graph theory · Mathematical optimization · Operations management · Parallels · Selection (genetic algorithm · Variety (cybernetics · Color Science and Applications · Computer Science · Engineering · Mathematics · Remote-Sensing Image Classification · Satellite Image Processing and Photogrammetry · Artificial Intelligence
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2002 - 2019 (18) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |