beatrizmilz/environmental-data-science

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

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) or by making a pull request to add new content in this file.

This repository was created by Beatriz Milz in March 2021.

Content

Organizations

• Openscapes
  • Open educational resources for Openscapes Champions
  • NASA Openscapes

Events

Future events

• Environmental Data Science Summit - ??, 2025 - Santa Barbara, California

Past events

• Environmental Data Science Summit - February 6 - 8, 2024 - Santa Barbara, California

• Environmental Data Science Summit - February 7 & 8, 2023 - Santa Barbara, California

• Environmental Data Science Summit - February 8-9, 2022 | Santa Barbara, California

• TAI4ES 2022 Summer School

Groups

• EcoDataScience - GitHub, Slack

Books

• Environmental Data Analysis - An Introduction with Examples in R, by Carsten Dormann

• Introduction to Environmental Data Science, by Jerry Davis (SFSU Institute for Geographic Information Science) - https://doi.org/10.1201/9781003317821

• Environmental Data Analysis - Methods and Applications, by Zhihua Zhang.

• Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein.

• Análises Ecológicas no R, by FR Da Silva, T Gonçalves-Souza, GB Paterno, DB Provete, MH Vancine (in portuguese)

Blogs and Newsletters

• Dynamic Ecology

• Theoretical Ecology

• Methods in Ecology & Evolution - Blog

Articles

About Data Science

• 50 years of Data Science - David Donoho

About Environmental Data Science

• Data Science of the Natural Environment: A Research Roadmap

• Data Analytics for Environmental Science and Engineering Research

• Machine Learning and Data Analytics for Environmental Science: A Review, Prospects and Challenges

• Evolution of machine learning in environmental science — A perspective

• Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science

• Machine learning and deep learning—A review for ecologists

• Welcoming More Participation in Open Data Science for the Oceans

Special issues

• Environmetrics - Special Issue: Environmental Data Science: Part 1 - February 2023

• Environmetrics - Special Issue: Environmental Data Science: Part 2 - March 2023

• Methods in Ecology and Evolution - Special Feature: Realising the Promise of Large Data and Complex Models

Journals

• Environmental Data Science - ISSN 2634-4602

• Environmental Science and Technology

• Frontiers in Environmental Science

• Environmetrics

• Methods in Ecology and Evolution

R Packages

• CRAN Task View: Analysis of Ecological and Environmental Data

Environmental Data Journalism

• New Data Tools and Tips for Investigating Climate Change

• Journalists Toolbox - Environment Resources

Data visualizations

• water data visualizations - USGS
  • USGS - Water Data For The Nation Blog

Workshops

• Environmental Data Visualization Literacy Workshop With R

Courses

Free courses

• Data Science for Ecologists and Environmental Scientists

• Data Carpentry Ecology Curriculum

Disciplinas de pós-graduação no Brasil

• PRPG CIAMB - UFG - Análise de Dados Ambientais - Material da disciplina

Academic courses

• University of California, Santa Barbara - Bren School of Environmental Science & Management - Master of Environmental Data Science

• Imperial College London - Msc Environmental Data Science and Machine Learning

• WEC-33806 - Data Science for Ecology - Wageningen University & Research (online course)

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

• Reference

• About MEDS

• All courses

• EDS 211 Team Science, Collaborative Analysis and Project Management

• EDS 212 Essential Math for Environmental Data Science

• EDS 213 Metadata Standards, Data Modeling and Data Semantics

• EDS 214 Analytical Workflows and Scientific Reproducibility

• EDS 215 Introduction to Data Storage and Management

• EDS 216 Meta-analysis and Systematic Reviews

• EDS 220 Remote Sensing and Environmental Data

• EDS 221 Scientific Programming Essentials

• EDS 222 Statistics for Environmental Data Science

• EDS 223 Spatial Analysis for Environmental Data Science

• EDS 230 Modeling Environmental Systems

• EDS 231 Text and Sentiment Analysis for Environmental Problems

• EDS 232 Machine Learning in Environmental Science

• EDS 240 Data Visualization and Communication

• EDS 241 Environmental Policy Evaluation

• EDS 242 Ethics and Bias in Environmental Data Science

Other

• Publications from AI2ES

• Better Science in Less time

Contributing

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

We follow this code of conduct for contributors.

Contributors: Beatriz Milz, Maurício Vancine, Juliano Van Melis