Introduction to R and Geographical Information Systems (GIS)

Learn the fundamentals of R programming and Geographical Information Systems (GIS) through this comprehensive video series from MIT OpenCourseWare. Master R's interface and data structures, explore data manipulation techniques, and understand how to run and interpret linear and mixed models. Develop programming skills with loops and functions while gaining proficiency in statistical computing and graphics. Discover key GIS concepts including vectorial maps, raster maps, and time series analysis. Practice working with map projections, spatial data operations like stacking, cropping, and masking, and learn to extract information from maps using spatial data points. Build visualization skills by creating professional maps with ggplot2. Originally developed for MIT's Terrestrial Carbon Cycle and Ecosystem Ecology course, these practical sessions provide essential tools for statistical analysis and spatial data visualization using R's free software environment.

Syllabus

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, 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