Knowledge acquisition for the automatic interpretation of spatial data

Article Properties
Cite
Sester, Monika. “Knowledge Acquisition for the Automatic Interpretation of Spatial Data”. International Journal of Geographical Information Science, vol. 14, no. 1, 2000, pp. 1-24, https://doi.org/10.1080/136588100240930.
Sester, M. (2000). Knowledge acquisition for the automatic interpretation of spatial data. International Journal of Geographical Information Science, 14(1), 1-24. https://doi.org/10.1080/136588100240930
Sester, Monika. “Knowledge Acquisition for the Automatic Interpretation of Spatial Data”. International Journal of Geographical Information Science 14, no. 1 (2000): 1-24. https://doi.org/10.1080/136588100240930.
Sester M. Knowledge acquisition for the automatic interpretation of spatial data. International Journal of Geographical Information Science. 2000;14(1):1-24.
Journal Categories
Bibliography
Library science
Information resources
Geography
Anthropology
Recreation
Geography
Anthropology
Recreation
Environmental sciences
Geography
Anthropology
Recreation
Geography (General)
Science
Science (General)
Cybernetics
Information theory
Social Sciences
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/3-540-60392-1_10 1995
10.3138/P461-R245-6511-5862 Cartographica: The International Journal for Geographic Information and Geovisualization
  • Geography. Anthropology. Recreation
1996
10.3138/7768-782H-4NTW-7211 Cartographica: The International Journal for Geographic Information and Geovisualization
  • Geography. Anthropology. Recreation
1996
10.1007/3-540-60159-7_4 1995
10.3233/AIC-1994-7201 1994
Citations
Title Journal Journal Categories Citations Publication Date
Machine learning in cartography Cartography and Geographic Information Science
  • Geography. Anthropology. Recreation: Environmental sciences
  • Geography. Anthropology. Recreation
  • Social Sciences
2024
DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps Cartography and Geographic Information Science
  • Geography. Anthropology. Recreation: Environmental sciences
  • Geography. Anthropology. Recreation
  • Social Sciences
1 2023
Incorporating ideas of structure and meaning in interactive multi scale mapping environments International Journal of Cartography
  • Science: Science (General): Cybernetics: Information theory
  • Geography. Anthropology. Recreation
  • Geography. Anthropology. Recreation: Geography (General)
  • Geography. Anthropology. Recreation: Geography (General)
1 2023
Deriving map images of generalised mountain roads with generative adversarial networks International Journal of Geographical Information Science
  • Science: Science (General): Cybernetics: Information theory
  • Geography. Anthropology. Recreation: Geography (General)
  • Geography. Anthropology. Recreation
  • Bibliography. Library science. Information resources
  • Geography. Anthropology. Recreation: Environmental sciences
  • Social Sciences
13 2022
Segmentation and sampling method for complex polyline generalization based on a generative adversarial network Geocarto International
  • Geography. Anthropology. Recreation: Physical geography
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Geology
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
18 2021
Citations Analysis
The category Geography. Anthropology. Recreation: Geography (General) 15 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Adaptive geovisualization: an approach towards the design of intelligent geovisualization systems and was published in 2001. The most recent citation comes from a 2024 study titled Machine learning in cartography. This article reached its peak citation in 2019, with 3 citations. It has been cited in 13 different journals, 15% of which are open access. Among related journals, the ISPRS International Journal of Geo-Information cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year