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Earth Analytics in R Course

Author(s): Leah Wasser

Earth Lab - University of Colorado, Boulder

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Summary:
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.’

Licensed under CC Attribution-NonCommercial-NoDerivatives 4.0 International according to these terms

Version 1.0 - published on 15 Oct 2019

Keywords

  1. data analysis
  2. data
  3. data types
  4. data visualization
  5. data science
  6. earth science
  7. R programming language
  8. remote sensing
  9. Geographic Information System (GIS)
  10. data science education
  11. computer programming
  12. wildfire
  13. earth analytics

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Open Science and Education Practices Ontology
Contents:
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Description

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

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