The Presence of Absence in Geovisual Analytics of Big Data

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

Abstract

New spatial data sources are emerging that have attributes of big data. These sources challenge our ability to handle high degrees of velocity, volume, and variety, and also frequently include a wide range of attributes that stretch our ability to characterize their veracity. While it remains quite challenging to visually represent, interact with, and reason about these data, our focus in this work is to suggest what analysts may be able to learn from the gaps in what we measure or the absences suggested by certain attributes. Put simply, we need to know more about how to show the missingness and absence in spatial data and to understand how people reason with that type of information in geovisual analytics environments.

Original languageEnglish (US)
Title of host publicationBGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538614372
DOIs
StatePublished - Jan 25 2019
Event2018 International Workshop on Big Geospatial Data and Data Science, BGDDS 2018 - Wuhan, China
Duration: Sep 22 2018Sep 23 2018

Publication series

NameBGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science

Conference

Conference2018 International Workshop on Big Geospatial Data and Data Science, BGDDS 2018
CountryChina
CityWuhan
Period9/22/189/23/18

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Computers in Earth Sciences
  • Management, Monitoring, Policy and Law

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  • Cite this

    Robinson, A. C. (2019). The Presence of Absence in Geovisual Analytics of Big Data. In BGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science [8626811] (BGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BGDDS.2018.8626811