An On-the-Ground Challenge to Uses of Spatial Big Data in Assessing Neighborhood Character

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5 Scopus citations

Abstract

While big spatial data is certainly useful as a means of getting to know a place, to get closer to actually understanding a place, the rigorous and sometimes slow process of conducting on‐the‐ground ethnographic fieldwork cannot be replaced, no matter the admittedly seductive size, speed, and simplicity offered by big data. In this article, I caution against the overreliance on Google Street View (GSV) and municipal call‐for‐service, or 311, data when assessing neighborhood character and conducting research on visual disorder. Visual and municipal spatial big data such as GSV and 311 calls are increasingly relied upon given twenty‐first century computational technologies and mixed methods research proclivities. However, as I argue with examples of personally producing and researching the placement of illegal graffiti in Los Angeles and Providence’s terrains vague, there is simply no proxy for qualitative data that is collected on the ground.

Original languageEnglish (US)
Pages (from-to)210-223
Number of pages14
JournalGeographical Review
Volume110
Issue number1-2
DOIs
StatePublished - Jan 2 2020

Keywords

  • 311 data
  • Google Street View
  • graffiti
  • qualitative methods
  • terrain vague

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

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