Supplementary Data for "Incorporating Community Knowledge into Analysis of Air Quality Monitoring Network Data"

These are the underlying data sets needed to perform the peak analysis and create the land-use regression (LUR) models described in the paper. There are four datasets:

"RAMP_Location.csv": Locations and IDs of the low-cost sensors used in this work. [NOTE: latitudes and longitudes for the sensor deployments have been intentionally rounded to protect the location of volunteer sensor hosts.]

"RAMP_data.zip": This contains the csv files of calibrated PM2.5, NO, NO2, CO and O3 measurements for the entire study period across all low-cost sensor sites.

"Vancouver_Population_Density_2016.zip": Shapefile of the population within each Dissemination Area from the 2016 Canadian Census. This information was originally extracted from the Canadian Census Analyser supported by the University of Toronto.

"smell_van_data.csv": Contains the locations, date, and description of odor reports during the monitoring period from the Smell Vancouver website (https://smell-vancouver.ca)

There is also sample code in Python to perform the peak analysis and create the LURs. [NOTE: we have intentionally excluded uploading the exact data sets imported by this code; our original data contains exact locations of sensor host volunteers and thus cannot be shared.]

"Peak_analysis_geohealth.py": A Python script to perform the peak analysis from the paper.

"LUR_strathcona_geohealth.py": A Python script to create the LURs and maps of LUR results from the paper.

Links to other data used in the code from publicly available sources:

Railway locations - https://opendata.vancouver.ca/explore/dataset/railways/information/

Public streets - https://opendata.vancouver.ca/explore/dataset/public-streets/information/

Land use - https://open-data-portal-metrovancouver.hub.arcgis.com/datasets/metrovancouver::landuse-2016-code-description/about

Bus stops - https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/QQLSCJ

Block outlines - https://opendata.vancouver.ca/explore/dataset/block-outlines/information/