Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes-Reference-Cited by-同舟云学术

Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes

Published:2022 Issue: Volume:10 Page:29406-29418
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Villarroya Sebastian¹^ORCID,Viqueira Jose R. R.¹,Cotos Jose M.¹^ORCID,Taboada Jose A.¹^ORCID

Affiliation:

1. COGRADE, Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

Funder

Spanish Ministry of Science and Innovation through Storage and Processing of Massive Geospatial Data for Smart and Sustainable Urban Transport (MaGIST) under National Project

Galician Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729731.pdf?arnumber=9729731

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2. Large-scale spatial join query processing in Cloud

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4. Simba: Efficient in-memory spatial analytics;xie;Proc Int Conf Manage Data,2016

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