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Multi-criteria analysis on spatial data of the landscape
Authors:
- Paweł Jarosz,
- Piotr Łabędź,
- Paweł Ozimek
Abstract
The method presented in this paper allows the visualization of spatial relations that could not be obtained using the existing methods. Depending on the component maps that represent the analysis criteria, it is possible to indicate for certain ways of developing good or bad areas. These maps may contain visibility data as well as other types of spatial impact. Thanks to this, spatial decision criteria can be broad and multi-branch.
- Record ID
- CUTf84a2ee5b84c4a25a2b731899911a71f
- Publication categories
- ;
- Author
- Journal series
- Computer Assisted Methods in Engineering and Science, ISSN 2299-3649
- Issue year
- 2019
- Vol
- 26
- No
- 2
- Pages
- 113-121
- Other elements of collation
- fot.; rys.; wykr.; Bibliografia (na s.) - 121; Bibliografia (liczba pozycji) - 13; Oznaczenie streszczenia - Streszcz. ang.; Numeracja w czasopiśmie - Vol. 26, No 2
- Keywords in English
- multiobjective optimization, spatial analysis, visibility maps
- DOI
- DOI:10.24423/cames.257 Opening in a new tab
- URL
- https://cames.ippt.pan.pl/index.php/cames/article/view/257 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTf84a2ee5b84c4a25a2b731899911a71f/
- URN
urn:pkr-prod:CUTf84a2ee5b84c4a25a2b731899911a71f
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.