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/本研究用于开展论文所述峰值分析与土地利用回归（Land Use Regression, LUR）模型构建的基础数据集如下，共计四类： "RAMP_Location.csv"：本研究中使用的低成本传感器的位置与标识信息。【注：为保护志愿者传感器宿主的真实位置，传感器部署的经纬度已进行刻意四舍五入处理。】 "RAMP_data.zip"：包含整个研究周期内所有低成本传感器站点的校准后PM2.5、一氧化氮（NO）、二氧化氮（NO2）、一氧化碳（CO）及臭氧（O3）观测数据的CSV文件压缩包。 "Vancouver_Population_Density_2016.zip"：包含2016年加拿大人口普查各普查传播区（Dissemination Area）内人口数据的Shapefile文件压缩包，该数据最初提取自多伦多大学支持的加拿大人口普查分析工具。 "smell_van_data.csv"：包含监测周期内从Smell Vancouver网站（https://smell-vancouver.ca）获取的气味举报的位置、日期与描述信息。 本研究还附带用于开展峰值分析与构建LUR模型的Python示例代码。【注：我们刻意未上传该代码所导入的原始数据集；因原始数据包含传感器志愿者宿主的精确位置信息，故无法公开共享。】 相关Python脚本如下： "Peak_analysis_geohealth.py"：用于复现论文中峰值分析流程的Python脚本。 "LUR_strathcona_geohealth.py"：用于复现论文中LUR模型构建与LUR结果可视化制图的Python脚本。 代码中使用的其他公开数据源链接如下： - 铁路点位：https://opendata.vancouver.ca/explore/dataset/railways/information/ - 公共街道：https://opendata.vancouver.ca/explore/dataset/public-streets/information/ - 土地利用数据：https://open-data-portal-metrovancouver.hub.arcgis.com/datasets/metrovancouver::landuse-2016-code-description/about - 公交站点：https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/QQLSCJ - 街区轮廓：https://opendata.vancouver.ca/explore/dataset/block-outlines/information/