Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/12669

TitleSpatial clustering to uncluttering map visualization in SOLAP
Author(s)Silva, Ricardo
Pires, João Moura
Santos, Maribel Yasmina
KeywordsSOLAP
Spatial clustering
DBSCAN
Issue dateJun-2011
PublisherSpringer Verlag
JournalLecture Notes in Computer Science
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/12669
ISBN978-3-642-21928-3
DOI10.1007/978-3-642-21928-3_18
ISSN0302-9743
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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