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Epidemiology, Biostatistics and Prevention Institute
31/3/2016
Visualization Challenge:
Mapping Health During Travel
R Visualization Special
3 August 2016
Andrea Farnham, MPH
University of Zürich
andrea.farnham@ifspm.uzh.ch
Epidemiology, Biostatistics and Prevention Institute
How can we detect patterns in
health behaviors, health
outcomes, and environmental
cues in travelers using a
combination of streaming data
and traditional questionnaires?
Epidemiology, Biostatistics and Prevention Institute
Epidemiology, Biostatistics and Prevention Institute
R Code
library("ggmap")
travel_data <- data.frame(lon =
heidifigure_locationpoints$longitude, lat =
heidifigure_locationpoints$latitude,
label=heidifigure_locationpoints$event,
day=heidifigure_locationpoints$day)
thailand <- get_map(location = c(96.2, 3.7,
107.5, 22.1), source="stamen", maptype="toner")
ggmap(thailand) + geom_point(data = travel_data,
aes(x = lon, y = lat), shape=1, color="red",
size=1.4, alpha=.5)
+ geom_label_repel(data = travel_data, aes(x =
lon, y = lat, label = label), size = 3)
Create data frame of
latitude and longitude
points
Call up map of Thailand
Map points on map of
Thailand
Add data labels
Epidemiology, Biostatistics and Prevention Institute
2 Step Process
• Download and format map image using get_map
• Plot additional layer(s) of data or statistics with ggmap
Source: https://www.r-bloggers.com/google-maps-and-ggmap/
maptype = "satellite" maptype = “roadmap"maptype = “terrain"
Epidemiology, Biostatistics and Prevention Institute
Thank you!
Contact information
Andrea Farnham, MPH
Epidemiology, Biostatistics and Prevention Institute (EBPI)
University of Zurich
Hirschengraben 84
CH-8001 Zurich
Phone +41 44 634 54 37
andreacarol.farnham@uzh.ch
www.ebpi.uzh.ch

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Visualization Challenge: Mapping Health During Travel

  • 1. Epidemiology, Biostatistics and Prevention Institute 31/3/2016 Visualization Challenge: Mapping Health During Travel R Visualization Special 3 August 2016 Andrea Farnham, MPH University of Zürich andrea.farnham@ifspm.uzh.ch
  • 2. Epidemiology, Biostatistics and Prevention Institute How can we detect patterns in health behaviors, health outcomes, and environmental cues in travelers using a combination of streaming data and traditional questionnaires?
  • 3. Epidemiology, Biostatistics and Prevention Institute
  • 4. Epidemiology, Biostatistics and Prevention Institute R Code library("ggmap") travel_data <- data.frame(lon = heidifigure_locationpoints$longitude, lat = heidifigure_locationpoints$latitude, label=heidifigure_locationpoints$event, day=heidifigure_locationpoints$day) thailand <- get_map(location = c(96.2, 3.7, 107.5, 22.1), source="stamen", maptype="toner") ggmap(thailand) + geom_point(data = travel_data, aes(x = lon, y = lat), shape=1, color="red", size=1.4, alpha=.5) + geom_label_repel(data = travel_data, aes(x = lon, y = lat, label = label), size = 3) Create data frame of latitude and longitude points Call up map of Thailand Map points on map of Thailand Add data labels
  • 5. Epidemiology, Biostatistics and Prevention Institute 2 Step Process • Download and format map image using get_map • Plot additional layer(s) of data or statistics with ggmap Source: https://www.r-bloggers.com/google-maps-and-ggmap/ maptype = "satellite" maptype = “roadmap"maptype = “terrain"
  • 6. Epidemiology, Biostatistics and Prevention Institute Thank you! Contact information Andrea Farnham, MPH Epidemiology, Biostatistics and Prevention Institute (EBPI) University of Zurich Hirschengraben 84 CH-8001 Zurich Phone +41 44 634 54 37 andreacarol.farnham@uzh.ch www.ebpi.uzh.ch