85 GIS_Regression_Sydney

Project metadata
Project Title GIS_Regression_Sydney
Owners Christine Cowie
Project Abstract Methods consistent with the European Study of Cohorts for Air Pollution Effects (ESCAPE) methodology to develop LUR (Land Use Regression) models for NO2 and NOx. 46 Ogawa passive samplers were deployed across western Sydney during 2013/2014 and acquired data on land use, population density, and traffic volumes for the study area.

85.1 GIS_Regression_Southwest_Sydney_NO2

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Metadata fields
Short Name GIS_Regression_Southwest_Sydney_NO2
Title GIS_Regression_Southwest_Sydney_NO2
Creators Christine Cowie
Contact Email
Abstract Annual average NO2 concentrations for 2013 were estimated for 947 addresses in the western Sydney region using an LUR model developed according to European Study of Cohorts for Air Pollution Effects (ESCAPE) methodology. These data are described in the paper (including supplementary data) Cowie, C. et al. 2019, Comparison of model estimates from an intra-city land use regression model with a national satellite-LUR and a regional Bayesian Maximum Entropy model, in estimating NO2 for a birth cohort in Sydney, Australia.
Study Extent Three measurements were taken on July 2013, December 2013, March 2014
Associated Parties
Repository Path
Repository Link https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/GIS_Regression_Sydney/GIS_Regression_Southwest_Sydney_NO2
External Link
Recommended Citation Cowie, C. (2020): Southwest Sydney GIS Regression NO2 data. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/GIS_Regression_Sydney/GIS_Regression_Southwest_Sydney_NO2