Details
| Original language | English |
|---|---|
| Pages (from-to) | 5-11 |
| Number of pages | 7 |
| Journal | Journal of Spatial Information Science |
| Issue number | 21 |
| Publication status | Published - 31 Dec 2020 |
Abstract
This short paper gives a subjective view on cartographic generalization, its achievements in the past, and the challenges it faces in the future.
Keywords
- computational geometry, deep learning, incremental mapping
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
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In: Journal of Spatial Information Science, No. 21, 31.12.2020, p. 5-11.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Cartographic generalization
AU - Sester, Monika
PY - 2020/12/31
Y1 - 2020/12/31
N2 - This short paper gives a subjective view on cartographic generalization, its achievements in the past, and the challenges it faces in the future.
AB - This short paper gives a subjective view on cartographic generalization, its achievements in the past, and the challenges it faces in the future.
KW - computational geometry
KW - deep learning
KW - incremental mapping
UR - http://www.scopus.com/inward/record.url?scp=85099184988&partnerID=8YFLogxK
U2 - 10.5311/JOSIS.2020.21.716
DO - 10.5311/JOSIS.2020.21.716
M3 - Article
AN - SCOPUS:85099184988
SP - 5
EP - 11
JO - Journal of Spatial Information Science
JF - Journal of Spatial Information Science
IS - 21
ER -