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R Packages for Environmental Time Series

Over the last decade, Mazama Science created many packages focused on environmental time series. These are used operationally in data processing, analysis and visualization systems at the US Forest Service AirFire Team, in the EPA AirNow Fire & Smoke map and elsewhere.

Jonathan Callahan currently maintains the following R packages:

  • beakr – A Minimalist Web Framework for R
  • MazamaRollUtils – Fast rolling functions for R written in C++
  • MazamaCoreUtils – Utilities to help write production R code
  • MazamaSpatialUtils – Harmonized spatial datasets and spatial search functions
  • MazamaSpatialPlots – Thematic mapping for MazamaSpatialUtils
  • MazamaLocationUtils – Utilities for working with monitoring site “known locations”
  • MazamaTimeSeries – Core functionality for environmental time series data
  • AirMonitor – Utilities for working with air quality monitoring data
  • AirMonitorPlots – Plotting functions for the AirMonitor package
  • AirSensor – Utilities for working with data from PurpleAir sensors (deprecated)
  • AirSensor2 – Utilities for working with data from low-cost air quality sensors
  • RAWSmet -- Utilities for working with Remote Automatic Weather Station (RAWS) data

Each package has a dedicated Slack channel for announcements, support and to help build communities of practices around these shared tools. You may request an invitation to join from [email protected].

Mazama Science Past

Until December, 2021, Mazama Science was a small software company founded by Dr. Jonathan Callahan in 2007. Mazama Science provided modern, open source approaches to data management, analysis and visualization. The focus was on collaboration with clients across disciplines to make large, high-value datasets more usable with intuitive, interactive tools

During 14 years of work with national and international non-profit science agencies, Mazama Science offered internships to 26 young scientists, a dozen of whom spent between six months and two years working with Dr. Callahan before advancing to other opportunities.

Requiescat in Pace Mazama Science.

Mazama Science Present

"Mazama Science" is still relevant as a recognized brand, synonymous with high quality, analyst focused R packages as well as the creation of data pipelines and high visibility web sites in the field of air quality.

Dr. Callahan now holds a position as Associate Research Professor at the Desert Research Institute and continues to create and maintain open source software libraries for air quality analysis. If you would like to collaborate with Dr. Callahan, are looking for consultation on an air quality project or are interested in supporting the ongoing development of Mazama Science software packages, please contact [email protected].

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  1. MazamaCoreUtils MazamaCoreUtils Public

    Utilities to help write production R code

    R 3

  2. MazamaSpatialUtils MazamaSpatialUtils Public

    Harmonized spatial datasets and spatial search functions

    R 5 2

  3. MazamaLocationUtils MazamaLocationUtils Public

    A system for managing spatial metadata associated with known locations

    R 1

  4. AirMonitor AirMonitor Public

    Utilities for working with air quality monitoring data

    HTML 7 1

  5. AirMonitorPlots AirMonitorPlots Public

    Plotting functions for the PWFSLSmoke package

    R 2 1

  6. AirSensor2 AirSensor2 Public

    Utilities for working with data from low-cost air quality sensors

    HTML 2 1

Repositories

Showing 10 of 62 repositories
  • air-monitor Public

    Javascript utilities for working with air quality monitoring data

    MazamaScience/air-monitor’s past year of commit activity
    JavaScript 0 GPL-3.0 0 1 0 Updated Jul 9, 2024
  • AirSensor2 Public

    Utilities for working with data from low-cost air quality sensors

    MazamaScience/AirSensor2’s past year of commit activity
    HTML 2 GPL-3.0 1 1 0 Updated May 31, 2024
  • AirMonitorPlots Public

    Plotting functions for the PWFSLSmoke package

    MazamaScience/AirMonitorPlots’s past year of commit activity
    R 2 GPL-3.0 1 24 0 Updated May 6, 2024
  • AirMonitor Public

    Utilities for working with air quality monitoring data

    MazamaScience/AirMonitor’s past year of commit activity
    HTML 7 GPL-3.0 1 1 0 Updated May 6, 2024
  • ASIC-2024 Public

    Slides and workshop materials for the 2024 Air Sensors International Conference

    MazamaScience/ASIC-2024’s past year of commit activity
    HTML 3 MIT 1 0 0 Updated Apr 30, 2024
  • AirSensorDataViewer Public

    An RShiny application based on the AirSensor package

    MazamaScience/AirSensorDataViewer’s past year of commit activity
    R 4 GPL-3.0 3 5 1 Updated Apr 11, 2024
  • air-monitor-algorithms Public

    Algorithms used in air quality data processing

    MazamaScience/air-monitor-algorithms’s past year of commit activity
    JavaScript 0 GPL-3.0 0 0 0 Updated Apr 3, 2024
  • mazama-plot-service Public

    Basic R-based web service for simple plotting needs.

    MazamaScience/mazama-plot-service’s past year of commit activity
    R 0 1 2 0 Updated Mar 18, 2024
  • MazamaTimeSeries Public

    Core functionality for environmental time series data

    MazamaScience/MazamaTimeSeries’s past year of commit activity
    R 0 GPL-3.0 0 2 0 Updated Mar 8, 2024
  • air-quality-examples Public

    Various projects demonstrating use of the AirMonitor and AirSensor2 package

    MazamaScience/air-quality-examples’s past year of commit activity
    R 0 MIT 0 0 0 Updated Mar 7, 2024

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