<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>mtc-m16c.sid.inpe.br 804</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP8W/3D62DML</identifier>
		<repository>sid.inpe.br/mtc-m18/2012/12.04.13.33</repository>
		<lastupdate>2012:12.04.13.33.12 sid.inpe.br/mtc-m18@80/2008/03.17.15.17 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/mtc-m18/2012/12.04.13.33.12</metadatarepository>
		<metadatalastupdate>2023:03.01.23.36.18 sid.inpe.br/mtc-m18@80/2008/03.17.15.17 administrator {D 2012}</metadatalastupdate>
		<issn>2179-4820</issn>
		<citationkey>OliveiraBapt:2012:GeSyVi</citationkey>
		<title>GeoSTAT – a system for visualization, analysis and clustering of distributed spatiotemporal data</title>
		<format>On-line, CD-ROM.</format>
		<year>2012</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1024 KiB</size>
		<author>Oliveira, Maxwell Guimarães de,</author>
		<author>Baptista, Cláudio de Souza,</author>
		<affiliation>Universidade Federal de Campina Grande (UFCG)</affiliation>
		<affiliation>Universidade Federal de Campina Grande (UFCG)</affiliation>
		<editor>Namikawa, Laércio Massaru,</editor>
		<editor>Bogorny, Vania,</editor>
		<e-mailaddress>laercio@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 13 (GEOINFO).</conferencename>
		<conferencelocation>Campos do Jordão</conferencelocation>
		<date>25-27 nov. 2012</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>108-119</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Full papers</tertiarytype>
		<transferableflag>1</transferableflag>
		<abstract>Nowadays, there is a considerable amount of spatiotemporal data available on the web. The visualization of these data requires several visual resources which helps users to have a correct interpretation of the data set. Furthermore, the use of data mining algorithms has proven relevant in helping the exploratory analysis of spatiotemporal data. This paper proposes the GeoSTAT (GEOgraphic SpatioTemporal Analysis Tool), a system that includes spatial and temporal visualization techniques and offers a spatiotemporal adaptation of clustering algorithms provided by the Weka data mining toolkit. A case study was realized to demonstrate the end-user experience and some advantages achieved using the proposed system.</abstract>
		<area>SRE</area>
		<subject>User Interactions / Applications - Full papers</subject>
		<session>User Interactions / Applications - Full papers</session>
		<type>User Interactions / Applications - Full papers</type>
		<language>en</language>
		<targetfile>oliveira.pdf</targetfile>
		<usergroup>laercio@dpi.inpe.br</usergroup>
		<visibility>shown</visibility>
		<documentstage>not transferred</documentstage>
		<mirrorrepository>dpi.inpe.br/banon-pc2@80/2006/07.04.20.21</mirrorrepository>
		<nexthigherunit>8JMKD3MGPDW34P/42T25JL</nexthigherunit>
		<nexthigherunit>8JMKD3MGPDW34P/48F29JE</nexthigherunit>
		<citingitemlist>sid.inpe.br/mtc-m16c/2023/01.30.13.05 2</citingitemlist>
		<citingitemlist>sid.inpe.br/mtc-m16c/2020/07.21.20.54 1</citingitemlist>
		<hostcollection>sid.inpe.br/mtc-m18@80/2008/03.17.15.17</hostcollection>
		<username>laercio@dpi.inpe.br</username>
		<lasthostcollection>sid.inpe.br/mtc-m18@80/2008/03.17.15.17</lasthostcollection>
		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m18/2012/12.04.13.33</url>
	</metadata>
</metadatalist>