Last updated January 31, 2021
In 2021, Mazama Science is primarily focused on environmental time series data and maintains a suite of R packages focused on air quality data management, processing, analysis and visualization.
Subdirectories in this repository will be broken up by US state with individual
reports available as .md or .Rmd files. These reports are written for
internal use only, often by interns, and Mazama Science accepts no responsibility
for the accuracy of the content.
Our decision to open this repository reflects our commitment to modeling the transparency we hope to inspire in others working with publicly available environmental data.
Our suite of existing and planned R packages includes:
- MazamaCoreUtils -- reusable core functionality
- MazamaSpatialUtils -- spatial metadata enhancement
- MazamaLocationUtils -- unique location IDs
- MazamaTimeSeries -- reusable functionality (filter, join, combine, .etc) for the
meta+datadata model - PWFSLSmoke (future AirMonitor) -- currently has data ingest, QC, analysis and base-R low level plotting for hourly monitoring data
- AirMonitor -- Air Quality specific analysis and specialty plots built on top of MazamaTimeSeries
- AirMonitorIngest -- per-provider functionality for ingesting hourly monitoring data from AirNow, AIRSIS, WRCC and others
- AirMonitorPlots -- ggplot-based higher level plotting for hourly data
- AirMonitorProducts -- functions for creating Excel tables and other non-ggplot2 items
- AirMonitorReports -- a collection of Rmarkdown documents and associated helper functions for creating automatic reports
- AirSensor -- data ingest, QC, analysis and diagnostic plotting for inexpensive sensor data (Purple Air)
- PurpleAirAPI -- R wrapper functions for the new PurpleAir API