About this short course

Introduction to Spatial Analysis in R is an introductory course designed to equip students with the skills to analyze and visualize spatial data using R. The course covers key concepts of spatial data types, coordinate reference systems and spatial relationships. Participants will learn to work with spatial data formats, perform geoprocessing tasks, and conduct spatial statistical analyses. Through practical coding exercises, students will use R packages like sf, sp, and tmap to manipulate spatial data and create informative maps.

Instructor’s biography

Marija Radulović

Marija Radulović is Assistant Professor at State University of Novi Pazar, Republic of Serbia..

She has over 10 years of experience as Head of Research in Research Center in Belgrade, Serbia and Lecturer for courses in statistical data analysis in SPSS, Stata, R.

For whom is this course intended:

The course is ideal for anyone (students, researchers, policy makers, professionals) curious about the potential of spatial analysis in their domain.

No prior experience with spatial data or GIS software is required, as the course introduces these topics from the ground up.

The prerequisites for Introduction to Spatial Analysis in R typically include:

• Basic R Knowledge: Familiarity with R programming, including data manipulation, importing/exporting data, and using libraries.
• Knowledge of statistical concepts like mean, variance, and regression analysis.
• Ability to work with datasets and interpret analytical results.
• Interest in spatial data