VRSTA GRADIVA | analitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek |
DRŽAVA IZIDA | Slovenija |
LETO IZIDA | 2008 |
JEZIK BESEDILA/IZVIRNIKA | angleški |
PISAVA | latinica |
DELO IMA | ilustracije |
ODGOVORNOST | Lavrač, Nada - avtor // Jesenovec, Domen - avtor // Trdin, Nejc - avtor // Mramor Kosta, Neža - avtor |
NASLOV | Mining spatio-temporal data of traffic accidents and spatial pattern visualization |
V PUBLIKACIJI | Metodološki zvezki. - ISSN 1854-0023. - ǂVol. ǂ5, ǂno. ǂ1 (2008), str. 45-63. |
KRATKA VSEBINA | Spatial data mining is a research area concerned with the identification of interesting spatial patterns from datastored in spatial databases and geographic information systems (GIS). This paper addresses the analysis of spatial and time stamped data of Slovenian traffic accidents which, together with other GIS data, enabled the construction of spatial attributes and the creation of a time-stamped spatial database. This database was analyzed by means of basic descriptive statistical methods, an approach to short time series clustering, spatial clustering, as well as visualization using GIS and GoogleEarth facilities. |
OPOMBE | Soavtorji: Domen Jesenovec, Nejc Trdin, Neža Mramor Kosta // Bibliografija: str. 61-62 // Abstract |
PREDMETNE OZNAKE | // geografski informacijski sistemi // prometne nesreče // podatkovno rudarjenje // časovne vrste // razvrščanje vskupine |
UDK | 004.8:519.246.8 |