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ccb60/README.md

Curtis Bohlen Github Archive

Contents of This Archive

The repositories included in this archive include several "side projects" undertaken as part of my work for the Casco Bay Estuary Partnership, as well as a few small personal coding projects. Archive contents are written principally in R and Python.

The primary purpose of this archive is for sharing examples of data analysis code, documenting past data analysis, and minimizing risk of reinventing wheels in the future. Most projects here are informal, one-off efforts. For the most part, repositories are not in active development and I do not check for comments, questions or pull requests.

State of Casco Bay Data Archives

The "State of Casco Bay" data and data analysis archives have been moved to more permanent homes. Working data, with streamlined versions of data analysis can be found at CBEP-SoCB. Complete archives, including original data, code for data QA/QC and data preparation, and many other details, can be found at CBEP-SoCB-Details.

Context and Background

I am currently Executive Director, and Staff Scientist for the Casco Bay Estuary Partnership, in Portland, Maine.

I have a background working with nonprofits, in academia, and in the private sector on a variety of environmental and water-related topics, usually on the boundary between science and policy. Recent work includes studies of coastal water quality, wetland restoration, impact of climate change on coastal wetlands, and coastal acidification.

I have managed three successive "State of Casco Bay" reports (2010, 2015, and the "sixth edition", released in 2021). Data and analysis code for the sixth edition are available at the links provided above. The reports themselves are available via the Casco Bay Estaury Partnership website.

As part of my work for the Partnership, I sometimes provide statistical analysis or experimental design assistance to organizations with whom we work. Several of the repositories included here were derived from those side projects.

Popular repositories

  1. SLRSIM SLRSIM Public

    A lightweight package to implement several methods of forecasting future frequency of flooding under sea level rise

    R 1

  2. Casco_EJScreen Casco_EJScreen Public

    Examining Demographic Data from EPA's EJSCREEN tools at teh census block group level to identify vulnerable communities in our region.

    1

  3. OA_Calculations OA_Calculations Public

    Explorations of Interrelationships among OA parameters based loosely on monitoring data from Casco Bay.

    Python

  4. radiostreamer radiostreamer Public

    A ludicrously simple streaming radio player for Windows or Raspberry Pi. (It has not been tested on iOS or other (non-RPi) versions of linux.)

    Python

  5. Blueberry_Sampling Blueberry_Sampling Public

    Generating a GRTS sampling frame to study pesticide contamination in groundwater near wild blueberry growing areas.

  6. NEP_OA NEP_OA Public

    Preliminary analysis of Ocean Acidification Data From Multiple National Estuary Programs

    HTML 1