Exploring geographical data with spatio-visual data mining
2006 (English)In: Spatial Data Handling - Status Quo and Progress: Proceedings of the 12th International Symposium on Spatial Data Handling / [ed] Andreas Riedl, Wolfgang Kainz, Gregory Elmes, Springer Verlag , 2006, 149-166 p.Chapter in book (Other academic)
Efficiently exploring a large spatial dataset with the aim of forming a hypothesisis one of the main challenges for information science. This studypresents a method for exploring spatial data with a combination of spatialand visual data mining. Spatial relationships are modeled during a datapre-processing step, consisting of the density analysis and vertical viewapproach, after which an exploration with visual data mining follows. The method has been tried on emergency response data about fire and rescueincidents in Helsinki.
Place, publisher, year, edition, pages
Springer Verlag , 2006. 149-166 p.
Other Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-5508DOI: 10.1007/3-540-35589-8_10ScopusID: 2-s2.0-33947588233ISBN: 978-3-540-35588-5OAI: oai:DiVA.org:kth-5508DiVA: diva2:9898
QC 201101172006-03-212006-03-212011-01-17Bibliographically approved