Leveraging big (Geo) data with (Geo) visual analytics

Place as the next frontier

Research output: Contribution to journalConference article

13 Citations (Scopus)

Abstract

A tension exists in the discipline of Geography between the concepts of space and place. Most research and development in Geographical Information Science (GIScience) has been focused on the former, through methods to formally structure data about the world and to systematically model and analyze aspects of the world as represented through those structured data. People, however, live and behave in socially constructed places; what they care about happens in those places rather than in some abstract, modeled ‘space’. Study of place, by human geographers (and other social scientists and humanist scholars), typically using qualitative methods and seldom relying on digital data, has proceeded largely independently of GIScience research focused on space. There have been calls within GIScience to formalize place to enable application of Geographical Information Systems methods to place-based problems, and some progress in this direction has been made. Here, however, a complementary view is offered for treating ‘place’ as a first class object of attention by capitalizing on the combination of “big data” and new human-centered visual analytical methods to enable understanding of the complexity inherent in place as both a concept and a context for human behavior.

Original languageEnglish (US)
Pages (from-to)139-155
Number of pages17
JournalAdvances in Geographic Information Science
Issue number191649
DOIs
StatePublished - Jan 1 2017
Event17th International Symposium on Spatial Data Handling, SDH 2016 - Beijing, China
Duration: Aug 18 2016Aug 20 2016

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Information science
information science
human behavior
Information systems
social scientist
qualitative method
research and development
Geographical Information System
analytical method
GIS
geography
method
science
world

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Civil and Structural Engineering
  • Geography, Planning and Development

Cite this

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Leveraging big (Geo) data with (Geo) visual analytics : Place as the next frontier. / Maceachren, Alan.

In: Advances in Geographic Information Science, No. 191649, 01.01.2017, p. 139-155.

Research output: Contribution to journalConference article

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