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OpenAirQ-toolkit

Analytic Toolkit Bookdown for OpenAirQ Projectes

Tutorial Goals

Title Write Edit Raw Script Final Tutorial
Intro to R, Survey Basics TBD
Wrangling + Mapping Vector Data (Temperature, Roads) Lorenz
Wrangling + Mapping Raster Data (NDVI, Land Cover) Isaac
Dynamic Sensor Querying (Pollutants, EPA) Lorenz Wrangling EPA Sensor Data *add some of the melt instructions from NOAA tutorial
Moving from point sensors to surfaces (KDE of Facilities) Isaac
Extend interpolation with diff models (EPA, AOT) Lorenz *part of Lorenz's 01 module, integrate Isaac's as well
Aggregating to different scales (AOD to tract) Isaac
Linking neighborhood factors (tidycensus) TBD

Appendix: Data Types

Each of the following variables needs to have a tutorial that shows users how to access, extract, model, and then aggregate data (in R) to the format needed. We can tag each tutorial based on key factors. Need to introduce this as essentially all the major variables that are required for air quality modeling based on existing literature surveys (in mixed hybrid approach).

Name Source(s) Write Edit Raw Script Final Tutorial
PM 2.5 EPA Sensors (link) (data) Yuming PM 2.5 Interpolation
Aerosol Optical Depth EPA Sensors (link) (data) AOD Processing
Temperature NOAA (link) (data) Temperature Interpolation
Point Emission Data National Emissions Inventory (link) (data) Jizhou Distance to Point Emissions
Road Emissions Open Street Map (link) (data) Road Length by Area
NDVI MODIS (link) (data) NDVI Aggregation
Elevation National Land Elevation Model (link) (data)
Land Use USGS (link) (data) Landuse Processing
Land Cover
AOT sensors?
Aircasting sensors?