Workshop on Data Integration and Spatial Analysis with R
The Applied Spatial Data Science Workshop Series offers practical training in spatial analysis methods for social science and interdisciplinary researchers, bridging theory with real-world applications. Join us on this hands-on workshop for social sciences and interdisciplinary research.
Presenter: Dr. Giovanni Baiocchi
Workshop Highlghts:
Introduction to R and Data Structures
Setting up R, understanding data frames.
Data Management with Tidyverse
Importing, cleaning, and transforming data.
Spatial Data in the Extended Tidyverse
Introduction to vector data (Shapefiles) and spatial data operations.
Visualizing spatial data.
Working with raster data.
Working with Census and Other Data
Importing and processing real-world datasets (e.g., US Census data).
Exploring Spatial Relationships
Analyzing spatial dependencies, autocorrelation, and spatial clusters.
Hands-on Practice
Participants will practice merging datasets, visualizing spatial data, and analyzing spatial patterns
For this workshop, participants will need to have installed R, RStudio, and the necessary packages on their laptops. Please download and install the latest version of R (from the R Project website) and RStudio.
https://cran.r-project.org/
https://posit.co/download/rstudio-desktop/
After installation, use the following command in RStudio to install the following packages that we will use:
install.packages(c("tidyverse", "sf", "tmap", "terra", "readr", "sp", "dplyr", "tidycensus", "tigris"))
Free parking available, or take Bus 104.
For any questions, please email Dr. Baiocchi at: baiocchi@umd.edu.