GEOG 4/590: Spring 2019, 10:00-11:50 Tues & Thurs, 106 Condon Hall
Topic: R for Earth-System Science

Instructor: Pat Bartlein, , 154 Condon Hall, 6-4967, office hours 2-3p W.

Overview: Research in Earth-System Science (ESS) typically involves the analysis and display of large data sets from observations (including reanalysis data sets), satellite and other sources of remote-sensing imagery, or model output. A large array of tools and approaches exists for analyzing those data, and each has its own set of advantages and disadvantages. The R language and data-analysis environment is particularly well suited for analyzing Earth-system data because it includes a large number of analysis packages, many specifically adapted for coping with the characteristics of “big data” like high dimensionality and resolution. In addition, geospatial analyses, that previously required stand-alone GIS programs, are well integrated into R, and R also has the facility for reading, writing and managing netCDF and HDF data sets—the standard way of storing ESS data. This course will review the basic applications of R for data analysis and visualization, the management of large data sets, geospatial analyses, and some representative analyses of ESS data sets. We will also discuss the use of R Markdown and GitHub for doing “reproducible research.”

NOTE:  This is the curent web page for GEOG 4/590, R for Earth-System Science. It is currently under construction, and will evolve over the next few weeks.

Course Web Page URL: https://pjbartlein.github.io/REarthSysSci/