Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016

Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial big data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Zhou, Chenghu, Su, Fenzhen, Harvey, Francis, Xu, Jun
Format: Buch
Sprache:eng
Schlagworte:
Big data
Data Mining and Knowledge Discovery
Data Storage Representation
Earth and Environmental Science
Earth Sciences, general
Geographic information systems
Geographical Information Systems/Cartography
Geography
Geospatial data
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Zhou, Chenghu
Su, Fenzhen
Harvey, Francis
Xu, Jun
description This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial big data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.
doi_str_mv 10.1007/978-981-10-4424-3
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9789811044243</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC4854489</sourcerecordid><originalsourceid>FETCH-LOGICAL-a18302-4909c8d4391ab942d1a922dd36c9aa246c872b6eec0e80208171ced51cc053fd3</originalsourceid><addsrcrecordid>eNpNkE1PwzAMhsOnGGM_gFsvCHEIs5O0SY7bGAxpEgcQ1yhLslFWtaMp8PdpKSBO9ms_r2WbkHOEawSQYy0V1QopAhWCCcr3yGmrETol9skAVSZpm7IDMmrh3x7PDv96XByTgVYZYyIFdUJGMb4CACrUqZQDcvG4s01ui-TGNjZZ2NIXeblJ8jKZ5pu-OK_tGTla2yKG0U8ckufb-dNsQZcPd_ezyZJaVBwYFRq0U15wjXalBfNoNWPe88xpa5nInJJslYXgIChgoFCiCz5F5yDla8-H5KofbOM2fMaXqmii-SjCqqq20fy7UfCWHfds3NXtzqE2PYVguvd1tGnxTncG0zkue8eurt7eQ2zM92AXyqa2hZlPZ0KlQijNvwDss2Sa</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC4854489</pqid></control><display><type>book</type><title>Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016</title><source>Springer Books</source><creator>Zhou, Chenghu ; Su, Fenzhen ; Harvey, Francis ; Xu, Jun</creator><contributor>Xu, Jun ; Harvey, Francis ; Zhou, Chenghu ; Su, Fenzhen</contributor><creatorcontrib>Zhou, Chenghu ; Su, Fenzhen ; Harvey, Francis ; Xu, Jun ; Xu, Jun ; Harvey, Francis ; Zhou, Chenghu ; Su, Fenzhen</creatorcontrib><description>This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial big data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.</description><edition>1</edition><identifier>ISSN: 1867-2434</identifier><identifier>ISBN: 9789811044236</identifier><identifier>ISBN: 9811044236</identifier><identifier>EISSN: 1867-2442</identifier><identifier>EISBN: 9811044244</identifier><identifier>EISBN: 9789811044243</identifier><identifier>DOI: 10.1007/978-981-10-4424-3</identifier><identifier>OCLC: 986224508</identifier><language>eng</language><publisher>Singapore: Springer Singapore Pte. Limited</publisher><subject>Big data ; Data Mining and Knowledge Discovery ; Data Storage Representation ; Earth and Environmental Science ; Earth Sciences, general ; Geographic information systems ; Geographical Information Systems/Cartography ; Geography ; Geospatial data</subject><creationdate>2017</creationdate><tpages>239</tpages><format>239</format><rights>Springer Nature Singapore Pte Ltd. 2017</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Advances in Geographic Information Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://media.springernature.com/w306/springer-static/cover-hires/book/978-981-10-4424-3</thumbnail><linktohtml>$$Uhttps://link.springer.com/10.1007/978-981-10-4424-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>306,780,784,786,27925,38255,42511</link.rule.ids></links><search><contributor>Xu, Jun</contributor><contributor>Harvey, Francis</contributor><contributor>Zhou, Chenghu</contributor><contributor>Su, Fenzhen</contributor><creatorcontrib>Zhou, Chenghu</creatorcontrib><creatorcontrib>Su, Fenzhen</creatorcontrib><creatorcontrib>Harvey, Francis</creatorcontrib><creatorcontrib>Xu, Jun</creatorcontrib><title>Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016</title><description>This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial big data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.</description><subject>Big data</subject><subject>Data Mining and Knowledge Discovery</subject><subject>Data Storage Representation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences, general</subject><subject>Geographic information systems</subject><subject>Geographical Information Systems/Cartography</subject><subject>Geography</subject><subject>Geospatial data</subject><issn>1867-2434</issn><issn>1867-2442</issn><isbn>9789811044236</isbn><isbn>9811044236</isbn><isbn>9811044244</isbn><isbn>9789811044243</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2017</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNpNkE1PwzAMhsOnGGM_gFsvCHEIs5O0SY7bGAxpEgcQ1yhLslFWtaMp8PdpKSBO9ms_r2WbkHOEawSQYy0V1QopAhWCCcr3yGmrETol9skAVSZpm7IDMmrh3x7PDv96XByTgVYZYyIFdUJGMb4CACrUqZQDcvG4s01ui-TGNjZZ2NIXeblJ8jKZ5pu-OK_tGTla2yKG0U8ckufb-dNsQZcPd_ezyZJaVBwYFRq0U15wjXalBfNoNWPe88xpa5nInJJslYXgIChgoFCiCz5F5yDla8-H5KofbOM2fMaXqmii-SjCqqq20fy7UfCWHfds3NXtzqE2PYVguvd1tGnxTncG0zkue8eurt7eQ2zM92AXyqa2hZlPZ0KlQijNvwDss2Sa</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Zhou, Chenghu</creator><creator>Su, Fenzhen</creator><creator>Harvey, Francis</creator><creator>Xu, Jun</creator><general>Springer Singapore Pte. Limited</general><general>Springer Singapore</general><general>Springer</general><scope/></search><sort><creationdate>2017</creationdate><title>Spatial Data Handling in Big Data Era</title><author>Zhou, Chenghu ; Su, Fenzhen ; Harvey, Francis ; Xu, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a18302-4909c8d4391ab942d1a922dd36c9aa246c872b6eec0e80208171ced51cc053fd3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Big data</topic><topic>Data Mining and Knowledge Discovery</topic><topic>Data Storage Representation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences, general</topic><topic>Geographic information systems</topic><topic>Geographical Information Systems/Cartography</topic><topic>Geography</topic><topic>Geospatial data</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Chenghu</creatorcontrib><creatorcontrib>Su, Fenzhen</creatorcontrib><creatorcontrib>Harvey, Francis</creatorcontrib><creatorcontrib>Xu, Jun</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Chenghu</au><au>Su, Fenzhen</au><au>Harvey, Francis</au><au>Xu, Jun</au><au>Xu, Jun</au><au>Harvey, Francis</au><au>Zhou, Chenghu</au><au>Su, Fenzhen</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016</btitle><seriestitle>Advances in Geographic Information Science</seriestitle><date>2017</date><risdate>2017</risdate><issn>1867-2434</issn><eissn>1867-2442</eissn><isbn>9789811044236</isbn><isbn>9811044236</isbn><eisbn>9811044244</eisbn><eisbn>9789811044243</eisbn><abstract>This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial big data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.</abstract><cop>Singapore</cop><pub>Springer Singapore Pte. Limited</pub><doi>10.1007/978-981-10-4424-3</doi><oclcid>986224508</oclcid><tpages>239</tpages><edition>1</edition></addata></record>
fulltext fulltext
identifier ISSN: 1867-2434
ispartof
issn 1867-2434
1867-2442
language eng
recordid cdi_askewsholts_vlebooks_9789811044243
source Springer Books
subjects Big data
Data Mining and Knowledge Discovery
Data Storage Representation
Earth and Environmental Science
Earth Sciences, general
Geographic information systems
Geographical Information Systems/Cartography
Geography
Geospatial data
title Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T13%3A14%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Spatial%20Data%20Handling%20in%20Big%20Data%20Era:%20Select%20Papers%20from%20the%2017th%20IGU%20Spatial%20Data%20Handling%20Symposium%202016&rft.au=Zhou,%20Chenghu&rft.date=2017&rft.issn=1867-2434&rft.eissn=1867-2442&rft.isbn=9789811044236&rft.isbn_list=9811044236&rft_id=info:doi/10.1007/978-981-10-4424-3&rft_dat=%3Cproquest_askew%3EEBC4854489%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=9811044244&rft.eisbn_list=9789811044243&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC4854489&rft_id=info:pmid/&rfr_iscdi=true