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Spatial Clustering to Uncluttering Map Visualization in SOLAP
2011
sctumvs
The main purpose of SOLAP concept was to take advantage of the map visualization improving the analysis of data and enhancing the associated decision making process. However, in this environment, the map can easily become cluttered losing the benefits that triggered the appearance of this concept. In order to overcome this problem we propose a post-processing stage, which relies on a spatial clustering approach, to reduce the number of values to be visualized when this number is inadequate to a properly map analysis. The results obtained so far show that the usage of the post–processing stage is very useful to maintain a map suitable to the user’s cognitive process. In addition, a novel heuristic to identify the threshold value from which the clusters must be generated was developed.
In proceedings
Ricardo Filipe Silva, João Moura Pires, Maribel Yasmina Santos
Beniamino Murgante, Osvaldo Gervasi, Andrés Iglesias, David Taniar, Bernady Apduhan
Computational Science and Its Applications - ICCSA 2011
Lecture Notes in Computer Science
Springer Berlin / Heidelberg
-
6782
253-268
978-3-642-21927-6
-
-
http://dx.doi.org/10.1007/978-3-642-21928-3_18
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Ricardo Filipe Silva and João Moura Pires and Maribel Yasmina Santos, Spatial Clustering to Uncluttering Map Visualization in SOLAP, in: Beniamino Murgante and Osvaldo Gervasi and Andrés Iglesias and David Taniar and Bernady Apduhan (eds), Computational Science and Its Applications - ICCSA 2011, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, Vol. 6782, ISBN 978-3-642-21927-6, Pag. 253-268, (http://dx.doi.org/10.1007/978-3-642-21928-3_18), 2011.
<a href="/people/members/view.php?code=d9b8a1d7c3f6a49801ea92fc0fe4b177" class="author">Ricardo Filipe Silva</a>, <a href="/people/members/view.php?code=542b14e1830dcf7566974fd36b6fccc7" class="author">João Moura Pires</a> and Maribel Yasmina Santos, <b>Spatial Clustering to Uncluttering Map Visualization in SOLAP</b>, in: Beniamino Murgante, Osvaldo Gervasi, Andrés Iglesias, David Taniar and Bernady Apduhan (eds), <u>Computational Science and Its Applications - ICCSA 2011</u>, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, Vol. 6782, ISBN 978-3-642-21927-6, Pag. 253-268, (<a href="http://dx.doi.org/10.1007/978-3-642-21928-3_18" target="_blank">url</a>), 2011.
@inproceedings {sctumvs, author = {Ricardo Filipe Silva and Jo{\~a}o Moura Pires and Maribel Yasmina Santos}, editor = {Beniamino Murgante and Osvaldo Gervasi and Andr{\'e}s Iglesias and David Taniar and Bernady Apduhan}, title = {Spatial Clustering to Uncluttering Map Visualization in SOLAP}, booktitle = {Computational Science and Its Applications - ICCSA 2011}, series = {Lecture Notes in Computer Science}, publisher = {Springer Berlin / Heidelberg}, volume = {6782}, pages = {253-268}, isbn = {978-3-642-21927-6}, url = {http://dx.doi.org/10.1007/978-3-642-21928-3_18}, abstract = {The main purpose of SOLAP concept was to take advantage of the map visualization improving the analysis of data and enhancing the associated decision making process. However, in this environment, the map can easily become cluttered losing the benefits that triggered the appearance of this concept. In order to overcome this problem we propose a post-processing stage, which relies on a spatial clustering approach, to reduce the number of values to be visualized when this number is inadequate to a properly map analysis. The results obtained so far show that the usage of the post–processing stage is very useful to maintain a map suitable to the user’s cognitive process. In addition, a novel heuristic to identify the threshold value from which the clusters must be generated was developed.}, keywords = {SOLAP, spatial clustering, DBSCAN}, year = {2011}, }
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