Courses Not Currently Offered
Earth Analytics - R (Geog 4563/5563)
GEOG 4563/5563 was previously taught in the R programming language. It is currently not being taught in R but you can review the entire course online.
Semester: The R version of this course is no longer offered. However, the entire course is available online.
Instructor: Leah Wasser
Open to: Professional certificate students, existing CU graduate and undergraduate students
Summary: This course is focused on teaching students to efficiently process, integrate, analyze and visualize heterogeneous spatio-temporal data. Students will learn to work with a suite of data types, structures and formats. Students will finish the course with proficiency in the R programming language and R markdown to create data driven reports. Lessons, assignments and the syllabus can be found on the earthdatascience.org webpage.
In this course you will learn to:
- Use R to open, process, map and work with spatial data.
- Work with diverse data formats (e.g. raster, vector, tabular and JSON), structures (e.g. social media, crowdsourced and spatial) and types (e.g. remote sensing, sensor network and ground-truthed).
- Find and access data efficiently using websites and Programmatic APIs.
- Work with and derive metrics from remote sensing data.
- Use R markdown to maintain efficient workflows and to create fluid data driven reports that link data to analysis and process.
- Effectively communicate science and collaborate on interdisciplinary projects.
- Document your workflow using clean, expressive coding and following open science principles.