Abstract

This article reviews sources of uncertainty in broadband provision data from Federal Communications Commission’s Form 477 database, which is the largest publicly available broadband database for the United States. This uncertainty analysis reveals that reporting thresholds result in understating of broadband in rural areas serviced by smaller providers in the 1999–2004 ZIP code area dataset. In this same time series, the routine used to aggregate data to larger spatial units (i.e., counties) produces variations in the amount of autocorrelation detected by diagnostic spatial statistics. The amount of autocorrelation in the data also varies with the strategy implemented for interpolating suppressed data. This investigation also highlights the value of a spatial approach to visualizing and analyzing the impact of uncertainty on broadband availability.

Original languageEnglish (US)
Pages (from-to)95-106
Number of pages12
JournalInformation Society
Volume35
Issue number2
DOIs
StatePublished - Mar 15 2019

Fingerprint

Autocorrelation
uncertainty
Uncertainty analysis
Time series
aggregate data
Statistics
Availability
time series
Communication
diagnostic
communications
rural area
statistics
Uncertainty
Broadband
Values
Data base

Keywords

  • broadband
  • Data uncertainty
  • Internet
  • spatial autocorrelation

ASJC Scopus subject areas

  • Management Information Systems
  • Cultural Studies
  • Information Systems
  • Political Science and International Relations

Cite this

Geographic dimensions of broadband data uncertainty. / Mack, Elizabeth.

In: Information Society, Vol. 35, No. 2, 15.03.2019, p. 95-106.

Research output: Contribution to journalArticle

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