biostudies-literatureUnknown9(7)Gardner-Frolick RWe conducted a pilot study to explore methods of incorporating qualitative community knowledge into quantitative assessment of temporal and spatial air quality patterns in a neighborhood in Vancouver, British Columbia. We deployed a low-cost sensor network measuring NO, NO₂, and PM_2.5. We used a variety of sources of community knowledge to complement a timeseries analysis and spatial model: a survey by the residents' association; odor reports from a citizen science project; and data from a community mapping event. Community knowledge highlighted, among other sources, areas where cars and heavy-duty vehicles idle, locations of construction, and locations of wood stoves. When creating a "traditional" land use regression (LUR) using easily accessible, and publicly availaGeoHealthe2025GH001378https://www.ebi.ac.uk/biostudies/studies/S-EPMC12268232biostudies-literatureIncorporating Community Knowledge Into Analysis of Air Quality Monitoring Network Data.PMC12268232Jain SGardner-Frolick RMartinussen NJackson DGiang AZimmerman NChambliss SfalseIncorporating Community Knowledge Into Analysis of Air Quality Monitoring Network Data.We conducted a pilot study to explore methods of incorporating qualitative community knowledge into quantitative assessment of temporal and spatial air quality patterns in a neighborhood in Vancouver, British Columbia. We deployed a low-cost sensor network measuring NO, NO₂, and PM_2.5. We used a variety of sources of community knowledge to complement a timeseries analysis and spatial model: a survey by the residents' association; odor reports from a citizen science project; and data from a community mapping event. Community knowledge highlighted, among other sources, areas where cars and heavy-duty vehicles idle, locations of construction, and locations of wood stoves. When creating a "traditional" land use regression (LUR) using easily accessible, and publicly availa2025-01-01T00:00:00Z2025 Jul2026-03-27T15:16:18.682Z2025-08-23T03:09:17.625ZS-EPMC122682324067858110.1029/2025GH001378