Spatial big data

Authors

  • Hofmann C. Author
  • Kazakos W. Author

Keywords:

Spatial Big Data, GIS, Big Data Analytics, Spatial Analysis, Geospatial Data, Data Integration, Visualisation

Abstract

This article explores spatial big data and the opportunities that arise when large volumes of location-related information are analysed together. Data from sensors, mobile devices, transport systems and digital services can reveal patterns across places and time, but volume alone does not guarantee useful insight. Organisations need methods for data integration, quality control, spatial analysis and responsible use. GIS provides tools for relating records to location and communicating results through maps and visualisations. The topic highlights both the analytical potential of spatial big data and the practical challenges of processing, interpreting and managing large geospatial datasets.

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Published

2015-01-01

Issue

Vol. 16 No. 1 (2015): Volume 16 Issue 1 2015

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.

How to Cite

Spatial big data. (2015). Gis.Business | Issn : 1869-9286, 16(1), 37-39. https://journal-gis.business/index.php/gisb/article/view/509