Spatial data wrangling with GeoSpark - A step by step tutorial

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This tutorial is expected to deliver a comprehensive study and hands-on tutorial of how GeoSpark incorporates Spark to uphold massive-scale spatial data. We also want this tutorial to serve as an introductory course that teaches the audience the basic building blocks in a scalable spatial data management system and the important design concerns based on our previous experience. We begin our tutorial with a background introduction of the characteristics of spatial data and the history of distributed data management systems. A follow-up section presents common approaches used by the practitioners to extend Spark and introduces the vital components in a generic spatial data management system. The third section gives a hands-on live demonstration to illustrate the basic steps of performing geospatial data analytics using GeoSpark.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019
EditorsAhmed Eldawy
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450369534
DOIs
StatePublished - Nov 5 2019
Event1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019 - Chicago, United States
Duration: Nov 5 2019 → …

Publication series

NameProceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019

Conference

Conference1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019
Country/TerritoryUnited States
CityChicago
Period11/5/19 → …

Keywords

  • Cluster computing
  • Large-scale data
  • Spatial data

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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