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Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data.’ This course is designed for upper level (junior and senior level) undergraduate students and graduate students. Throughout the course you will use computationally intensive techniques to address scientific questions. You will use a suite of different types of publicly available data including:

• Satellite and airborne lidar and spectral remote sensing data.
• Data collected using distributed in situ (on the ground) sensor networks.
• Social media data.
• Demographic (census) data.

Citation:

Leah Wasser. (2018, August 2). earthlab/earth-analytics-r-course: Earth Analytics Course in the R Programming Language (Version r-earth-analytics). Zenodo. http://doi.org/10.5281/zenodo.1326873

• Earth Analytics Course: Learn Data Science | Earth Data Science - Earth Lab
• License terms

Researchers should cite this work as follows:

• Wasser, L. (2019). Earth Analytics in R Course. Earth Lab Earth Analytics Education, QUBES Educational Resources.

  BibTex | EndNote

1. Activity Length
2. Audience Level
3. computer programming
4. data
5. data analysis
6. data science
7. data science education
8. data types
9. data visualization
10. earth analytics
11. earth science
12. Extended Project
13. Faculty
14. Geographic Information System (GIS)
15. Graduate
16. Instructional Setting
17. Online course
18. open education resources
19. remote sensing
20. R programming language
21. Teaching material
22. Undergraduate
23. wildfire