An evaluation of measures for quantifying map information
Harrie, Lars LU
and Stigmar, Hanna
LU
(2010)
In ISPRS Journal of Photogrammetry and Remote Sensing
65(3).
p.266-274
- Abstract
- A real-time map must not contain too much information. Therefore, we need measures of map information that could guideline the selection of data layers and the real-time generalisation process. In this paper we evaluate
measures of amount of information and distribution of information. The evaluation is performed by (1) defining measures, (2) implementing the measures, (3) computing the measures for some test maps, and finally (4)
comparing the values of the measures with human judgement of the map information. For amount of information, we found that the measures number of objects, number of points and object line length had better correspondence with human judgement than object area. We also found that measures based on... (More) - A real-time map must not contain too much information. Therefore, we need measures of map information that could guideline the selection of data layers and the real-time generalisation process. In this paper we evaluate
measures of amount of information and distribution of information. The evaluation is performed by (1) defining measures, (2) implementing the measures, (3) computing the measures for some test maps, and finally (4)
comparing the values of the measures with human judgement of the map information. For amount of information, we found that the measures number of objects, number of points and object line length had better correspondence with human judgement than object area. We also found that measures based on the size of Voronoi regions (of objects respective points) can be used for identifying distribution of information. The
results are based on the testing of only building objects. Future work should extend the test, using all object types. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/706072
- author
- Harrie, Lars
LU
and Stigmar, Hanna
LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Analysis, Generalisation, Cartography, Visualization, Simplification
- in
- ISPRS Journal of Photogrammetry and Remote Sensing
- volume
- 65
- issue
- 3
- pages
- 266 - 274
- publisher
- Elsevier
- external identifiers
-
- wos:000278531700003
- scopus:77953136681
- ISSN
- 0924-2716
- DOI
- 10.1016/j.isprsjprs.2009.05.004
- language
- English
- LU publication?
- yes
- id
- a9401d81-54fc-4917-819f-a7b60247ac33 (old id 706072)
- date added to LUP
- 2016-04-04 09:28:57
- date last changed
- 2022-04-08 03:14:47
@article{a9401d81-54fc-4917-819f-a7b60247ac33,
abstract = {{A real-time map must not contain too much information. Therefore, we need measures of map information that could guideline the selection of data layers and the real-time generalisation process. In this paper we evaluate<br/><br>
measures of amount of information and distribution of information. The evaluation is performed by (1) defining measures, (2) implementing the measures, (3) computing the measures for some test maps, and finally (4)<br/><br>
comparing the values of the measures with human judgement of the map information. For amount of information, we found that the measures number of objects, number of points and object line length had better correspondence with human judgement than object area. We also found that measures based on the size of Voronoi regions (of objects respective points) can be used for identifying distribution of information. The<br/><br>
results are based on the testing of only building objects. Future work should extend the test, using all object types.}},
author = {{Harrie, Lars and Stigmar, Hanna}},
issn = {{0924-2716}},
keywords = {{Analysis; Generalisation; Cartography; Visualization; Simplification}},
language = {{eng}},
number = {{3}},
pages = {{266--274}},
publisher = {{Elsevier}},
series = {{ISPRS Journal of Photogrammetry and Remote Sensing}},
title = {{An evaluation of measures for quantifying map information}},
url = {{http://dx.doi.org/10.1016/j.isprsjprs.2009.05.004}},
doi = {{10.1016/j.isprsjprs.2009.05.004}},
volume = {{65}},
year = {{2010}},
}