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https://github.com/beatrizmilz/Environmental-Data-Science

A list of books, events, articles, journals, courses, etc related to Environmental Data Science.
https://github.com/beatrizmilz/Environmental-Data-Science

List: Environmental-Data-Science

awesome-list data-analysis data-science datascience environmental-data environmental-data-science environmental-monitoring environmental-science environmetrics machine-learning r statistics

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A list of books, events, articles, journals, courses, etc related to Environmental Data Science.

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README 

        
# Environmental Data Science

Welcome!



This repository gathers information about Environmental Data Science, such as events, groups, books, papers, journals, courses, etc.



The idea is to have a place to find information about environmental data science and share it with others.



Feel free to contribute by suggesting contents (e.g., [open an issue](https://github.com/beatrizmilz/Environmental-Data-Science/issues)) or by making a pull request to [add new content in this file](https://github.com/beatrizmilz/Environmental-Data-Science/blob/main/README.Rmd).



This repository was created by [Beatriz Milz](https://beamilz.com/) in March 2021.



# Content



## Organizations



- [Openscapes](https://openscapes.org/) 

   - [Open educational resources for Openscapes Champions](https://openscapes.github.io/series/)

   - [NASA Openscapes](https://nasa-openscapes.github.io/)



## Events



### Future events



- [Environmental Data Science Summit - February 4 - 6, 2025 - Santa Barbara, California](https://www.nceas.ucsb.edu/environmental-data-science-summit)



### Past events



- [Environmental Data Science Summit - February 6 - 8, 2024 - Santa Barbara, California](https://www.nceas.ucsb.edu/environmental-data-science-summit)



- [Environmental Data Science Summit - February 7 & 8, 2023 - Santa Barbara, California](https://eds-summit.github.io/)



- [Environmental Data Science Summit - February 8-9, 2022 \| Santa Barbara, California](https://eds-summit.github.io/)



- [TAI4ES 2022 Summer School](https://www2.cisl.ucar.edu/events/tai4es-2022-summer-school)



## Groups



- [EcoDataScience](https://eco-data-science.github.io/) - [GitHub](https://github.com/eco-data-science), [Slack](https://join.slack.com/t/ecodatascience/shared_invite/enQtNTE1MjAxMTU2NjQwLTZmYjQ5OGIyNjM0YTM4ZDhiMTA2Njc1Mjg2YjFlYWEwZDhlNjJmMTE3MzI2ZmM4ZTJhYTczNmZhYjk3YTI5NjU)



## Books



- [Environmental Data Analysis - An Introduction with Examples in R](https://link.springer.com/book/10.1007/978-3-030-55020-2), by Carsten Dormann



- [Introduction to Environmental Data Science](https://bookdown.org/igisc/EnvDataSci/), by Jerry Davis (SFSU Institute for Geographic Information Science) - 



- [Environmental Data Analysis - Methods and Applications](https://www.degruyter.com/document/doi/10.1515/9783111012681/html?lang=en), by Zhihua Zhang.



- [Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences](https://onlinelibrary.wiley.com/doi/book/10.1002/9781119646181), by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein.



- [Análises Ecológicas no R](https://analises-ecologicas.com/), by FR Da Silva, T Gonçalves-Souza, GB Paterno, DB Provete, MH Vancine (in portuguese)



 ## Blogs and Newsletters



 - [Dynamic Ecology](https://dynamicecology.wordpress.com/)

 

 - [Theoretical Ecology](https://theoreticalecology.wordpress.com/)



 - [Methods in Ecology & Evolution - Blog](https://methodsblog.com/)



## Articles



### About Data Science



- [50 years of Data Science](https://www.tandfonline.com/doi/full/10.1080/10618600.2017.1384734) - David Donoho



### About Environmental Data Science



- [Data Science of the Natural Environment: A Research Roadmap](https://doi.org/10.3389/fenvs.2019.00121)



- [Data Analytics for Environmental Science and Engineering Research](https://doi.org/10.1021/acs.est.1c01026)



- [Machine Learning and Data Analytics for Environmental Science: A Review, Prospects and Challenges](https://iopscience.iop.org/article/10.1088/1757-899X/955/1/012107/meta)



- [Evolution of machine learning in environmental science — A perspective](https://doi.org/10.1017/eds.2022.2)



- [Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science](https://doi.org/10.1017/eds.2022.5)



- [Machine learning and deep learning—A review for ecologists](https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.14061)



- [Welcoming More Participation in Open Data Science for the Oceans](https://doi.org/10.1146/annurev-marine-041723-094741)



## Special issues



- [Environmetrics - Special Issue: Environmental Data Science: Part 1 - February 2023](https://onlinelibrary.wiley.com/toc/1099095x/2023/34/1)



- [Environmetrics - Special Issue: Environmental Data Science: Part 2 - March 2023](https://onlinelibrary.wiley.com/toc/1099095x/2023/34/2)



- [Methods in Ecology and Evolution - Special Feature: Realising the Promise of Large Data and Complex Models](https://besjournals.onlinelibrary.wiley.com/toc/2041210x/2023/14/1)



## Journals



- [Environmental Data Science - ISSN 2634-4602](https://www.cambridge.org/core/journals/environmental-data-science)



- [Environmental Science and Technology](https://pubs.acs.org/journal/esthag)



- [Frontiers in Environmental Science](https://www.frontiersin.org/journals/environmental-science)



- [Environmetrics](https://onlinelibrary.wiley.com/toc/1099095x/current)



- [Methods in Ecology and Evolution](https://besjournals.onlinelibrary.wiley.com/journal/2041210X)



## R Packages



- [CRAN Task View: Analysis of Ecological and Environmental Data](https://cran.r-project.org/web/views/Environmetrics.html)



## Environmental Data Journalism



- [New Data Tools and Tips for Investigating Climate Change](https://gijn.org/stories/new-data-tools-and-tips-for-investigating-climate-change/)



- [Journalists Toolbox - Environment Resources](https://www.journaliststoolbox.org/2023/05/25/miscellaneous_environment_sites/)



## Data visualizations 



- [water data visualizations - USGS](https://labs.waterdata.usgs.gov/visualizations/index.html)

   - [USGS - Water Data For The Nation Blog](https://waterdata.usgs.gov/blog/)



## Workshops



- [Environmental Data Visualization Literacy Workshop With R](https://www.library.upenn.edu/rdds/work/r-data-visualization-workshop)



## Courses



### Free courses



- [Data Science for Ecologists and Environmental Scientists](https://ourcodingclub.github.io/course)



- [Data Carpentry Ecology Curriculum](https://datacarpentry.org/lessons/#ecology-workshop)



### Disciplinas de pós-graduação no Brasil



- [PRPG CIAMB - UFG](https://ciamb.prpg.ufg.br/) - [Análise de Dados Ambientais](https://files.cercomp.ufg.br/weby/up/104/o/An%C3%A1lise_de_Dados_Ambientais.pdf) - [Material da disciplina](https://lhmet.github.io/adar-ebook/)



### Academic courses



- [University of California, Santa Barbara - Bren School of Environmental Science & Management - Master of Environmental Data Science](https://bren.ucsb.edu/masters-programs/master-environmental-data-science)



- [Imperial College London - Msc Environmental Data Science and Machine Learning](https://www.imperial.ac.uk/study/pg/earth-science/environmental-data-science-machine-learning/)



- [WEC-33806 - Data Science for Ecology - Wageningen University & Research](https://wec.wur.nl/dse/) (online course)



### Content from courses at the Master of Environmental Data Science (MEDS) - Bren School



- [Reference](https://my.sa.ucsb.edu/catalog/Current/CollegesDepartments/bren/Index.aspx?DeptTab=Graduate)



- [About MEDS](https://ucsb-meds.github.io/)



- [All courses](https://ucsb-meds.github.io/courses.html)



- [EDS 211 Team Science, Collaborative Analysis and Project

  Management](https://bbest.github.io/eds211-team/)  



- [EDS 212 Essential Math for Environmental Data

  Science](https://allisonhorst.github.io/EDS_212_essential-math/)



- [EDS 213 Metadata Standards, Data Modeling and Data

  Semantics](https://brunj7.github.io/EDS-213-metadata/)



- [EDS 214 Analytical Workflows and Scientific

  Reproducibility](https://brunj7.github.io/EDS-214-analytical-workflows/)



- [EDS 215 Introduction to Data Storage and

  Management](https://jamesfrew.github.io/EDS_215_data_management/)



- [EDS 216 Meta-analysis and Systematic

  Reviews](https://ucsbhydro.github.io/EDS_216_meta-analysis/)



- [EDS 220 Remote Sensing and Environmental

  Data](https://samanthastevenson.github.io/EDS220_site/)



- [EDS 221 Scientific Programming

  Essentials](https://allisonhorst.github.io/EDS_221_programming-essentials/)



- [EDS 222 Statistics for Environmental Data

  Science](https://tcarleton.github.io/EDS-222-stats/)



- [EDS 223 Spatial Analysis for Environmental Data

  Science](https://jamesfrew.github.io/EDS_223_spatial_analysis/)



- [EDS 230 Modeling Environmental

  Systems](https://naomitague.github.io/ESM232_course/)



- [EDS 231 Text and Sentiment Analysis for Environmental

  Problems](https://maro406.github.io/EDS_231-text-sentiment/)



- [EDS 232 Machine Learning in Environmental

  Science](https://bbest.github.io/eds232-ml/)



- [EDS 240 Data Visualization and

  Communication](https://bren.ucsb.edu/courses/eds-240)



- [EDS 241 Environmental Policy

  Evaluation](https://bren.ucsb.edu/courses/eds-241)



- [EDS 242 Ethics and Bias in Environmental Data

  Science](https://bren.ucsb.edu/courses/eds-242)



## Other



- [Publications from AI2ES](https://www.ai2es.org/publications/)



- [Better Science in Less time](http://ohi-science.org/betterscienceinlesstime/our_story.html)



# Contributing



Contributions are welcome! Please submit a pull request or open an issue to discuss a new resource.



We follow this [code of conduct](https://www.contributor-covenant.org/version/2/1/code_of_conduct/) for contributors.



Contributors: Beatriz Milz, Maurício Vancine, Juliano Van Melis