title: LINKING GPS DATA TO GIS DATABASES IN NATURALISTIC STUDIES: EXAMPLES FROM DRIVERS WITH OBSTRUCTIVE SLEEP APNEA.
abstract: In naturalistic studies, it is vital to give appropriate context when analyzing driving behaviors. Such contextualization can help address the hypotheses that explore a) how drivers perform within specific types of environment (e.g., road types, speed limits, etc.), and b) how often drivers are exposed to such specific environments. In order to perform this contextualization in an automated fashion, we are using Global Positioning System (GPS) data obtained at 1 Hz and merging this with Geographic Information Systems (GIS) databases maintained by the Iowa Department of Transportation (DOT). In this paper, we demonstrate our methods of doing this based on data from 43 drivers with obstructive sleep apnea (OSA). We also use maps from GIS software to illustrate how information can be displayed at the individual drive or day level, and we provide examples of some of the challenges that still need to be addressed.
authors.affiliation: Dept. of Biostatistics, Univ. of Iowa College of Public Health, Iowa City, Iowa, USA.
authors.forename: Jeffrey D
authors.initials: JD
authors.lastname: Dawson
authors.affiliation: Dept. of Geographical and Sustainability Sciences, Univ. of Iowa College of Liberal Arts and Sciences, Iowa City, Iowa, USA.
authors.forename: Lixi
authors.initials: L
authors.lastname: Yu
authors.affiliation: Dept. of Neurology, University of Iowa College of Medicine, Iowa City, Iowa, USA.
authors.forename: Kelly
authors.initials: K
authors.lastname: Sewell
authors.affiliation: Dept. of Neurological Sciences, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA.
authors.forename: Adam
authors.initials: A
authors.lastname: Skibbe
authors.forename: Nazan S
authors.initials: NS
authors.lastname: Aksan
authors.forename: Jon
authors.initials: J
authors.lastname: Tippin
authors.forename: Matthew
authors.initials: M
authors.lastname: Rizzo