A COMPLETE 3-Hour Introduction to Spatial and GIS Data in R

About this course

If you are entering the field of GIS and want to learn how to get started with R programming and spatial data, this is the course for you. We go over all the basis of how to work with spatial data in an R environment. This course is designed for academics, consultants and individuals looking to enter the GIS field. Here are a few examples of the projects you will work on: Calculate vegetation across Washington and extract values at points of interestInterpolate air quality values in areas with missing dataCalculate the average salary across major neighbourhoods using a Census shape file And more!By the end of this course you will have learnt the following: Work with different data types (vector, raster, etc.)Conduct GIS analysisCreate beautiful mapsWork with real-world data.More benefits:All slides are providedAll spatial data sets are providedLifetime access to the course, forever. No prior experience is necessary - just bring your enthusiasm to learn and an eagerness to harness the power of spatial data. By the end of this course, you'll be equipped with the essential tools to tackle spatial challenges and confidently venture into more advanced data science pathways.My goal is to help you discover the fascinating intersection of data and location through user-friendly lectures, hands-on exercises, and engaging projects. I will guide you step-by-step, ensuring you feel confident working with Geographic Information Systems (GIS) and exploring diverse spatial datasets.

Course objectives

• Introduce the basics of R programming in the context of GIS
• Help students feel confident with spatial data analysis
• Encourage engagement with hands-on projects to apply learned concepts