LEADER 03991nam 22006615 450 001 9910254002103321 005 20200629165531.0 010 $a981-10-4424-4 024 7 $a10.1007/978-981-10-4424-3 035 $a(CKB)3710000001307535 035 $a(DE-He213)978-981-10-4424-3 035 $a(MiAaPQ)EBC4854489 035 $a(PPN)201469669 035 $a(EXLCZ)993710000001307535 100 $a20170504d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpatial Data Handling in Big Data Era $eSelect Papers from the 17th IGU Spatial Data Handling Symposium 2016 /$fedited by Chenghu Zhou, Fenzhen Su, Francis Harvey, Jun Xu 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XIII, 237 p. 84 illus.) 225 1 $aAdvances in Geographic Information Science,$x1867-2434 311 $a981-10-4423-6 320 $aIncludes bibliographical references at the end of each chapters. 327 $aBig geographical data storage and search -- Data-intensive geospatial computing and data mining -- Visualization of big geographical data -- Multi-scale spatial data representations, data structures and algorithms -- Space-time modelling and analysi -- Geological applications of Big Data and multi-criteria decision analysis. 330 $aThis proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience. 410 0$aAdvances in Geographic Information Science,$x1867-2434 606 $aGeographic information systems 606 $aData mining 606 $aData structures (Computer science) 606 $aEarth sciences 606 $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aData Storage Representation$3https://scigraph.springernature.com/ontologies/product-market-codes/I15025 606 $aEarth Sciences, general$3https://scigraph.springernature.com/ontologies/product-market-codes/G00002 615 0$aGeographic information systems. 615 0$aData mining. 615 0$aData structures (Computer science) 615 0$aEarth sciences. 615 14$aGeographical Information Systems/Cartography. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Storage Representation. 615 24$aEarth Sciences, general. 676 $a910.285 702 $aZhou$b Chenghu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSu$b Fenzhen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHarvey$b Francis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aXu$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254002103321 996 $aSpatial Data Handling in Big Data Era$92535261 997 $aUNINA