
CourseRES.1-00210 lectures
Introduction to R and Geographic Information Systems (GIS)
Dr. Helena Vallicrosa · Massachusetts Institute of Technology
About
The goal of these videos is to provide students with tools and concepts for working with R, a free software environment for statistical computing and graphics. The students will learn the basics of R, how to navigate the R interface and deal with different data formats, how to run and interpret linear models with R, and how to use Geographic Information Systems (GIS) in R. These practical sessions were developed as part of the course 1.845 Terrestrial Carbon Cycle and Ecosystem Ecology but will be useful for anyone looking to learn about R and GIS.
Lectures
Introduction to R
- Introduction to R, Part I: Interface and Data Structures
- Introduction to R, Part II: Playing with the Data
- Introduction to R, Part III: Linear and Mixed Models in R
- Introduction to R, Part IV: Loops and Functions
Introduction to GIS
- Introduction to GIS, Part I: Key Concepts
- Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series
- Introduction to GIS, Part III: Projection
- Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask
- Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points
- Introduction to GIS, Part VI: Plotting Maps with ggplot2
Syllabus and materials
At MIT OpenCourseWare, as the course publishes them.
Credits and licence
- Institution
- Massachusetts Institute of Technology
- Department
- Civil and Environmental Engineering
- Teacher
- Dr. Helena Vallicrosa
- Term
- Fall 2023
- Level
- Undergraduate
- Language
- English
- Subjects
- Computer science, Engineering, Earth and environment, Languages and linguistics
- Source
- MIT OpenCourseWare
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
- Attribution
- Dr. Helena Vallicrosa. Introduction to R and Geographic Information Systems (GIS). Fall 2023. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- MIT OpenCourseWare gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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