绘制多日GPS数据：纽约市的一项制图研究
Mapping Multi-Day GPS Data: A Cartographic Study in NYC.
作者信息
Duncan Dustin T, Regan Seann D
机构信息
Department of Population Health, New York University School of Medicine, New York, NY USA.
出版信息
J Maps. 2016;12(4):668-670. doi: 10.1080/17445647.2015.1060180. Epub 2015 Jul 9.
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 (=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.
摘要
多日的全球定位系统（GPS）数据在研究中越来越多地被使用，包括在空间流行病学领域。我们展示了几张地图，作为呈现多日GPS数据的方式。数据来自纽约市低收入住房、社区与健康研究（样本量 = 120）。参与者佩戴QStarz BT-Q1000XT GPS设备约一周时间（平均：7.44天，标准差 = 2.15天）。我们的地图展示了多种可视化多日GPS数据的方式；这些数据按总体GPS数据、工作日/周末以及一周中的日期来呈现。我们讨论了每张地图的意义。
相似文献
1
Mapping Multi-Day GPS Data: A Cartographic Study in NYC.
J Maps. 2016;12(4):668-670. doi: 10.1080/17445647.2015.1060180. Epub 2015 Jul 9.
2
Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study.
Ann Epidemiol. 2017 Jan;27(1):67-75. doi: 10.1016/j.annepidem.2016.09.017. Epub 2016 Oct 29.
3
Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City.
Geospat Health. 2016 May 31;11(2):399. doi: 10.4081/gh.2016.399.
4
Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City.
J Community Health. 2017 Oct;42(5):974-982. doi: 10.1007/s10900-017-0344-5.
5
Dynamic Accuracy of GPS Receivers for Use in Health Research: A Novel Method to Assess GPS Accuracy in Real-World Settings.
Front Public Health. 2014 Mar 10;2:21. doi: 10.3389/fpubh.2014.00021. eCollection 2014.
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.
Geospat Health. 2014 Nov;9(1):57-70. doi: 10.4081/gh.2014.6.
7
Development of Time-location Weighted Spatial Measures Using Global Positioning System Data.
Environ Health Toxicol. 2013 May 7;28:e2013005. doi: 10.5620/eht.2013.28.e2013005. Print 2013.
8
Measuring Social Communication in the Community: Novel Tools for Advancing Family Participation.
Am J Occup Ther. 2018 Nov/Dec;72(6):7206205060p1-7206205060p7. doi: 10.5014/ajot.2018.026310.
9
Portable global positioning units to complement accelerometry-based physical activity monitors.
Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S572-81. doi: 10.1249/01.mss.0000185297.72328.ce.
10
A pilot study using global positioning systems (GPS) devices and surveys to ascertain older adults' travel patterns.
J Appl Gerontol. 2015 Apr;34(3):NP190-201. doi: 10.1177/0733464813479024. Epub 2013 Mar 21.
引用本文的文献
1
Participatory geographic mapping and activity space diaries: innovative data collection methods for understanding environmental risk exposures among female sex workers in a low-to middle-income country.
Int J Health Geogr. 2021 May 31;20(1):25. doi: 10.1186/s12942-021-00279-9.
2
Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City.
Geospat Health. 2018 Nov 9;13(2). doi: 10.4081/gh.2018.712.
3
Acceptability of smartphone text- and voice-based ecological momentary assessment (EMA) methods among low income housing residents in New York City.
BMC Res Notes. 2017 Oct 26;10(1):517. doi: 10.1186/s13104-017-2850-z.
4
Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City.
J Community Health. 2017 Oct;42(5):974-982. doi: 10.1007/s10900-017-0344-5.
5
Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: a Global Positioning System (GPS) study.
Ann Epidemiol. 2017 Jan;27(1):67-75. doi: 10.1016/j.annepidem.2016.09.017. Epub 2016 Oct 29.
6
Neighborhood perceptions and hypertension among low-income black women: a qualitative study.
BMC Public Health. 2016 Oct 12;16(1):1075. doi: 10.1186/s12889-016-3741-2.
7
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.
PLoS One. 2016 Feb 26;11(2):e0147520. doi: 10.1371/journal.pone.0147520. eCollection 2016.
本文引用的文献
1
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.
Geospat Health. 2014 Nov;9(1):57-70. doi: 10.4081/gh.2014.6.
2
Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors.
Int J Pediatr. 2014;2014:328076. doi: 10.1155/2014/328076. Epub 2014 Jan 6.
3
A pilot study using global positioning systems (GPS) devices and surveys to ascertain older adults' travel patterns.
J Appl Gerontol. 2015 Apr;34(3):NP190-201. doi: 10.1177/0733464813479024. Epub 2013 Mar 21.
4
Active transport between home and school assessed with GPS: a cross-sectional study among Dutch elementary school children.
BMC Public Health. 2014 Mar 5;14:227. doi: 10.1186/1471-2458-14-227.
5
Emerging technologies for assessing physical activity behaviors in space and time.
Front Public Health. 2014 Jan 28;2:2. doi: 10.3389/fpubh.2014.00002. eCollection 2014.
6
Comparing self-identified and census-defined neighborhoods among adolescents using GPS and accelerometer.
Int J Health Geogr. 2013 Dec 10;12:57. doi: 10.1186/1476-072X-12-57.
7
Examination of how neighborhood definition influences measurements of youths' access to tobacco retailers: a methodological note on spatial misclassification.
Am J Epidemiol. 2014 Feb 1;179(3):373-81. doi: 10.1093/aje/kwt251. Epub 2013 Oct 22.
8
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.
Geospat Health. 2012 Nov;7(1):1-13. doi: 10.4081/gh.2012.99.
9
Using geospatial technologies to explore activity-based retail food environments.
Spat Spatiotemporal Epidemiol. 2012 Dec;3(4):287-95. doi: 10.1016/j.sste.2012.09.001. Epub 2012 Sep 21.
10
Activity space environment and dietary and physical activity behaviors: a pilot study.
Health Place. 2011 Sep;17(5):1150-61. doi: 10.1016/j.healthplace.2011.05.001. Epub 2011 May 17.
Zotero 插件