Literature DB >> 27293471

Mapping Multi-Day GPS Data: A Cartographic Study in NYC.

Dustin T Duncan1, Seann D Regan1.   

Abstract

Multi-day GPS data is increasingly being used in research-including in the field of spatial epidemiology. We present several maps as ways to present multi-day GPS data. Data come from the NYC Low-Income Housing, Neighborhoods and Health Study (n=120). Participants wore a QStarz BT-Q1000XT GPS device for about a week (mean: 7.44, SD= 2.15). Our maps show various ways to visualize multi-day GPS data; these data are presented by overall GPS data, by weekday/weekend and by day of the week. We discuss implications for each of the maps.

Entities:  

Keywords:  cartography; global positioning system; maps; mobility; neighborhoods; spatial epidemiology

Year:  2015        PMID： 27293471      PMCID： PMC4896478          DOI： 10.1080/17445647.2015.1060180

Source DB:  PubMed          Journal:  J Maps        ISSN： 1744-5647            Impact factor:   2.709


  12 in total

1.  Examination of how neighborhood definition influences measurements of youths' access to tobacco retailers: a methodological note on spatial misclassification.

Authors:  Dustin T Duncan; Ichiro Kawachi; S V Subramanian; Jared Aldstadt; Steven J Melly; David R Williams
Journal:  Am J Epidemiol       Date:  2013-10-22       Impact factor: 4.897

2.  Patterns of intestinal schistosomiasis among mothers and young children from Lake Albert, Uganda: water contact and social networks inferred from wearable global positioning system dataloggers.

Authors:  Edmund Y W Seto; José C Sousa-Figueiredo; Martha Betson; Chris Byalero; Narcis B Kabatereine; J Russell Stothard
Journal:  Geospat Health       Date:  2012-11       Impact factor: 1.212

3.  A pilot study using global positioning systems (GPS) devices and surveys to ascertain older adults' travel patterns.

Authors:  Irene H Yen; Cindy W Leung; Mars Lan; Majid Sarrafzadeh; Karen C Kayekjian; O Kenrik Duru
Journal:  J Appl Gerontol       Date:  2013-03-21

4.  Using geospatial technologies to explore activity-based retail food environments.

Authors:  W Jay Christian
Journal:  Spat Spatiotemporal Epidemiol       Date:  2012-09-21

5.  Activity space environment and dietary and physical activity behaviors: a pilot study.

Authors:  Shannon N Zenk; Amy J Schulz; Stephen A Matthews; Angela Odoms-Young; JoEllen Wilbur; Lani Wegrzyn; Kevin Gibbs; Carol Braunschweig; Carmen Stokes
Journal:  Health Place       Date:  2011-05-17       Impact factor: 4.078

6.  Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study.

Authors:  Dustin T Duncan; Seann D Regan; Donna Shelley; Kristen Day; Ryan R Ruff; Maliyhah Al-Bayan; Brian Elbel
Journal:  Geospat Health       Date:  2014-11       Impact factor: 1.212

7.  The use of a vest equipped with a global positioning system to assess water-contact patterns associated with schistosomiasis.

Authors:  Edmund Y W Seto; Freyja Knapp; Bo Zhong; Changhong Yang
Journal:  Geospat Health       Date:  2007-05       Impact factor: 1.212

8.  Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors.

Authors:  Kestens Yan; Barnett Tracie; Mathieu Marie-Ève; Henderson Mélanie; Bigras Jean-Luc; Thierry Benoit; Maxime St-Onge; Lambert Marie
Journal:  Int J Pediatr       Date:  2014-01-06

9.  Emerging technologies for assessing physical activity behaviors in space and time.

Authors:  Philip M Hurvitz; Anne Vernez Moudon; Bumjoon Kang; Brian E Saelens; Glen E Duncan
Journal:  Front Public Health       Date:  2014-01-28

10.  Comparing self-identified and census-defined neighborhoods among adolescents using GPS and accelerometer.

Authors:  Alyssa I Robinson; Nicolas M Oreskovic
Journal:  Int J Health Geogr       Date:  2013-12-10       Impact factor: 3.918
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  5 in total

1.  Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study.

Authors:  Dustin T Duncan; Kosuke Tamura; Seann D Regan; Jessica Athens; Brian Elbel; Julie Meline; Yazan A Al-Ajlouni; Basile Chaix
Journal:  Ann Epidemiol       Date:  2016-10-29       Impact factor: 3.797

2.  Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City.

Authors:  Kosuke Tamura; Brian Elbel; Basile Chaix; Seann D Regan; Yazan A Al-Ajlouni; Jessica K Athens; Julie Meline; Dustin T Duncan
Journal:  J Community Health       Date:  2017-10

3.  Neighborhood perceptions and hypertension among low-income black women: a qualitative study.

Authors:  Maliyhah Al-Bayan; Nadia Islam; Shawneaqua Edwards; Dustin T Duncan
Journal:  BMC Public Health       Date:  2016-10-12       Impact factor: 3.295

4.  Feasibility and Acceptability of Global Positioning System (GPS) Methods to Study the Spatial Contexts of Substance Use and Sexual Risk Behaviors among Young Men Who Have Sex with Men in New York City: A P18 Cohort Sub-Study.

Authors:  Dustin T Duncan; Farzana Kapadia; Seann D Regan; William C Goedel; Michael D Levy; Staci C Barton; Samuel R Friedman; Perry N Halkitis
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

5.  Acceptability of smartphone text- and voice-based ecological momentary assessment (EMA) methods among low income housing residents in New York City.

Authors:  Dustin T Duncan; William C Goedel; James H Williams; Brian Elbel
Journal:  BMC Res Notes       Date:  2017-10-26
  5 in total

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