Introduction to R for Spatial Analysis
- Thursday 27th - Friday 28th August, 2015
- 9:30am - 4:30pm (lunch break included)
- Lab A (912A), Adam Smith Building, University of Glasgow, Glasgow, UK GET DIRECTIONS
This course is ideal for individuals who have completed the Introduction to R course or who have equivalent knowledge and prior experience in GIS/spatial analysis.
If you want to advance your skills in spatial analysis using a free, open source software, then this course is for you. Participants who would benefit from this course include: social science researchers, students who want to advance their skills, and practitioners who could improve decision-making using spatial data (e.g. urban planners, city managers and policymakers).
GIS-based spatial analysis is a powerful tool to explore and investigate questions of interest in the social sciences, such as changes in real estate markets, urban segregation and inequities in access to public services (e.g. public transport and public health) and so on. There are an increasing number of packages in R supporting a variety of spatial analysis functionalities. The purpose of this course is to introduce some common functions in R in relation to spatial analysis, ranging from basic data operation to more advanced spatial statistics. By the end of the course, you will be able to load geographic data into R, manipulate the data and perform basic spatial analysis. This course builds on the skills developed in Introduction to R and would benefit participants who want to use a powerful, open-source and customisable tool for spatial analysis, which can be applied to a range of topics in urban planning and policy-making.
- The course is offered free of charge to all participants
- The course is open to a wide variety of participants (researchers, students, practitioners)
- All software packages needed for the course will be provided in the designated course lab free of charge
- Refreshments and lunch will be provided to all participants each day of the course
- The course requires a minimum of 5 registered participants for delivery and has a maximum of 20 participants
- All participants must first meet the pre-requisite knowledge requirements stated in the course description
- All participants must register - your place in the course is not final until you receive a confirmation email from UBDC staff.