The Nature Of Boundaries On ‘Area-Class’ Maps
Bibliographic Data
| ID | 14701188 |
|---|---|
| Authors | David Mark (0000-0002-0647-9046, University at Buffalo, State University of New York, corresponding author), David M Mark (Department of Geography, State University of New York at Buffalo, Buffalo, United States / and Research Institute for Soil Science and Agricultural Chemistry of the Hungarian Academy of Sciences), Ferenc Csillag |
| Year | 1989 |
| Volume | 26 |
| Issue | 1 |
| Pages | 65-78 |
| Publication date | 1989-03-01 |
| 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/d235-3262-062x-4472 |
| OpenAlex | W2166428624 |
| Language | EN |
| Citations received | 14 |
| References cited | 5 |
Appropriate generalization methods for geographic data must depend upon the kind of feature being generalized. Most research on cartographic line generalization has concentrated on linear features such as coastlines, rivers and roads; however, methods for the generalization of such linear geographic features may not be appropriate for the generalization of other types of cartographic lines. In this paper, we present a model of another type of cartographic line, namely boundaries between categories or classes which occur over contiguous regions of geographic space. We focus our attention on 'natural' area-class data sets such as soil maps. In the model, such boundary lines are far more similar (mathematically) to elevation contours than they are to coastlines and rivers. Appropriate generalization methods may involve construction of surfaces representing probability of class membership, generalization or smoothing of such surfaces and 'contouring' the probabilities to find boundaries. Pour être appropriées, les méthodes de généralisation des données géographiques doivent dépendre de la sorte d'élément à généraliser. La plupart des recherches effectuées sur la généralisation de lignes cartographiques se sont concentrées sur des éléments linéaires tels que routes, rivages et rivières; par contre, les méthodes développées pour la généralisation de tels éléments géographiques linéaires peuvent ne pas convenir pour la généralisation d'autres types de lignes cartographiques. Dans cet article, nous présentons un modèle pour un autre type de lignes cartographiques, en l'occurence les frontières entre catégories ou classes qui se situent sur les régions contiguës de l'espace géographique. Nous portons notre attention sur des ensembles de données représentant des classes de surfaces 'naturelles', comme des cartes pédologiques. Dans ce modèle, ces frontières sont beaucoup plus semblables, mathématiquement, aux courbes de niveau qu'aux rivages et rivières. Pour être appropriées, les méthodes de généralisation peuvent impliquer la construction de surfaces représentant la probabilité d'appartenance à des classes, la généralisation ou le lissage de telles surfaces et le découpage des probabilités pour déterminer les limites
Boundary (topology · Cartographic generalization · Cartography · Class (philosophy · Generalization · Geography · Mathematical analysis · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Historical Geography and Cartography · Mathematics · Artificial Intelligence
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| Unique citing works | 14 |
|---|---|
| Citations per year | 0.42 |
| Citation span | 1993 - 2018 (26) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 14 |