Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity

Sungsoon Hwang; Sai Yalla; Ryan Crews

Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity

Sungsoon Hwang, Sai Yalla, Ryan Crews

DePaul University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	American English
Title of host publication	Big Data for Regional Science
State	Published - Aug 2017

Keywords

big data
GPS
physical activity
accelerometer
GIS

Disciplines

Public Health
Geographic Information Sciences
Spatial Science

Cite this

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title = "Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity",

keywords = "big data, GPS, physical activity, accelerometer, GIS",

author = "Sungsoon Hwang and Sai Yalla and Ryan Crews",

note = "Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or 'Big Data'. This data now allows us to examine urban and...",

year = "2017",

month = aug,

language = "American English",

booktitle = "Big Data for Regional Science",

}

TY - CHAP

T1 - Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity

AU - Hwang, Sungsoon

AU - Yalla, Sai

AU - Crews, Ryan

N1 - Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or 'Big Data'. This data now allows us to examine urban and...

PY - 2017/8

Y1 - 2017/8

KW - big data

KW - GPS

KW - physical activity

KW - accelerometer

KW - GIS

UR - https://www.routledge.com/Big-Data-for-Regional-Science/Schintler-Chen/p/book/9781138282186

M3 - Chapter

BT - Big Data for Regional Science

ER -

Processing Uncertain GPS Trajectory Data for Assessing the Locations of Physical Activity

Keywords

Disciplines

Other files and links

Cite this