메뉴 건너뛰기




Volumn 04-07-November-2014, Issue , 2014, Pages 73-82

Spatial indexing and analytics on Hadoop

Author keywords

Analytics; Distributed processing; Hadoop; HDFS; K NN; MapReduce; Quadtree; Spatial indexing

Indexed keywords

CLUSTERING ALGORITHMS; DISTRIBUTED COMPUTER SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; INDEXING (MATERIALS WORKING); INDEXING (OF INFORMATION); INFORMATION SYSTEMS; NEAREST NEIGHBOR SEARCH; NETWORK MANAGEMENT;

EID: 84961206662     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2666310.2666387     Document Type: Conference Paper
Times cited : (74)

References (26)
  • 1
    • 84891059308 scopus 로고    scopus 로고
    • Hadoop-GIS: A high performance spatial data warehousing system over mapreduce
    • Aji, A., Wang, F., Vo, H., Lee, R., Liu, Q., Zhang, X., and Saltz, J. 2013. Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce, Proc. VLDB Endow. 6, 11 (August 2013), 1009-1020. DOI=http://dx.doi.org/10.14778/2536222.2536227.
    • (2013) Proc. VLDB Endow. 6, 11 (August 2013) , pp. 1009-1020
    • Aji, A.1    Wang, F.2    Vo, H.3    Lee, R.4    Liu, Q.5    Zhang, X.6    Saltz, J.7
  • 5
    • 84961225236 scopus 로고    scopus 로고
    • O'Reilly Media Inc., Sebastopol, CA, USA
    • Cordova, A., Rinaldi, B., Wall, M. 2014. Accumulo. O'Reilly Media, Inc., Sebastopol, CA, USA.
    • (2014) Accumulo
    • Cordova, A.1    Rinaldi, B.2    Wall, M.3
  • 6
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • January 2008
    • Dean, J., and Ghemawat, S. 2008. MapReduce: simplified data processing on large clusters. Commun. ACM, 51, 1 (January 2008), 107-113. DOI= http://dx.doi.org/10.1145/1327452.1327492.
    • (2008) Commun ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 8
    • 84891071699 scopus 로고    scopus 로고
    • A demonstration of spatialhadoop: An efficient mapreduce framework for spatial data
    • August 2013
    • Eldawy, A., and Mokbel, M. 2013. A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data, Proc. VLDB Endow. 6, 12 (August 2013), 1230-1233. DOI=http://dx.doi.org/10.14778/2536274.2536283.
    • (2013) Proc. VLDB Endow , vol.6 , Issue.12 , pp. 1230-1233
    • Eldawy, A.1    Mokbel, M.2
  • 10
    • 84961203972 scopus 로고    scopus 로고
    • Esri
    • Esri. 2013. GIS Tools for Hadoop. https://github.com/Esri/gis-tools-for-hadoop.
    • (2013) GIS Tools for Hadoop
  • 12
    • 0020249952 scopus 로고
    • An effective way to represent quadtrees
    • December 1982
    • Gargantini, I. 1982. An effective way to represent quadtrees. Commun. ACM 25, 12 (December 1982), 905-910. DOI= http://doi.acm.org/10.1145/358728.358741.
    • (1982) Commun ACM , vol.25 , Issue.12 , pp. 905-910
    • Gargantini, I.1
  • 13
    • 84961225238 scopus 로고    scopus 로고
    • Geohash.org
    • Geohash.org. Tips & Tricks. http://geohash.org/site/tips.html.
    • Tips & Tricks
  • 14
    • 84977363017 scopus 로고
    • The analysis of spatial association by use of distance statistics
    • July 1992
    • Getis, A., and Ord, K. 1992. The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis, 24, 3 (July 1992), 189-206. DOI= http://dx.doi.org/10.1111/j.1538-4632.1992.tb00261.x
    • (1992) Geographical Analysis , vol.24 , Issue.3 , pp. 189-206
    • Getis, A.1    Ord, K.2
  • 15
    • 0000701994 scopus 로고    scopus 로고
    • Distance browsing in spatial databases
    • June 1999
    • Hjaltason, G., and Samet, H. 1999. Distance Browsing in Spatial Databases, ACM Trans. Database Syst. 24, 2 (June 1999), 265-318. DOI=http://doi.acm.org/10.1145/320248.320255.
    • (1999) ACM Trans. Database Syst. , vol.24 , Issue.2 , pp. 265-318
    • Hjaltason, G.1    Samet, H.2
  • 16
    • 0036823610 scopus 로고    scopus 로고
    • Speeding up construction of PMR quadtree-based spatial indexes
    • October 2002
    • Hjaltason, G., and Samet, H. 2002. Speeding up construction of PMR quadtree-based spatial indexes. VLDB Journal, 11, 2 (October 2002), 109-137. DOI=http://dx.doi.org/10.1007/s00778-002-0067-8.
    • (2002) VLDB Journal , vol.11 , Issue.2 , pp. 109-137
    • Hjaltason, G.1    Samet, H.2
  • 18
    • 0141749110 scopus 로고    scopus 로고
    • Data-parallel polygonization
    • October 2003
    • Hoel, E., and Samet, H. 2003. Data-parallel Polygonization, Parallel Computing, 29, 10 (October 2003), 1381-1401. DOI=http://dx.doi.org/10.1016/j.parco.2003.05.001.
    • (2003) Parallel Computing , vol.29 , Issue.10 , pp. 1381-1401
    • Hoel, E.1    Samet, H.2
  • 19
    • 84903713555 scopus 로고    scopus 로고
    • GDELT: Global database of events, language, and tone
    • San Francisco, (April 2013
    • Leetaru, K., and Schrodt, P. 2013. GDELT: Global Database of Events, Language, and Tone, 1979-2012. International Studies Association Annual Conference, San Francisco, (April 2013).
    • (2013) International Studies Association Annual Conference , pp. 1979-2012
    • Leetaru, K.1    Schrodt, P.2
  • 20
    • 84881275906 scopus 로고    scopus 로고
    • Analyzing the contributor activity of a volunteered geographic information project - The case of openstreetmap
    • Neis, P., Zipf, A. 2012. Analyzing the Contributor Activity of a Volunteered Geographic Information Project-The Case of OpenStreetMap. ISPRS International Journal of Geo-Information, 1, 2, 146-165.
    • (2012) ISPRS International Journal of Geo-Information , vol.1 , Issue.2 , pp. 146-165
    • Neis, P.1    Zipf, A.2
  • 24
    • 74049113467 scopus 로고    scopus 로고
    • (1st ed.) O'Reilly Media Inc., Sebastopol, CA, USA
    • White, T. 2009. Hadoop: The Definitive Guide (1st ed.). O'Reilly Media, Inc., Sebastopol, CA, USA.
    • (2009) Hadoop: The Definitive Guide
    • White, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.