The Department of Epidemiology and Population Health at the Faculty of Health Sciences (FHS) and the London School of Hygiene and Tropical Medicine are organizing a short course entitled "Introduction to spatial analysis in R".
The course, to be held on January 17-18, 2019, demonstrates how to load and interact with spatial data in R. Day 1 will consist of a hands-on introduction to data manipulation and visualization in R. Participants will be shown how to get data in an analysis ready format and create publication quality graphs using the packages dplyr and ggplot2. Day 2 will introduce spatial data analysis in R. Participants will be shown how to visualize and manipulate spatial data, including creating buffers, performing distance calculations, and creating maps.
The course will be taught entirely in R. It is not necessary to have used R previously, but prior experience will help to get the most out of the course. For those who wish to register in the course, a link to a free four-hour introduction to R will be provided and would give sufficient background. R will be readily installed on the computers available at the course venue.
After this course, participants will have been shown how to: (i) load, manipulate and visualize data in R; (ii) load, manipulate, and visualize spatial data in R; (iii) perform basic spatial operations such as buffering and distance calculations.
The course will take place over two days at the computer lab (room 105) in Van Dyck Hall, and is to be moderated by Dr. John Edmunds, Professor, and Dr. Christopher Jarvis, Research Fellow, from the Department of Infectious Disease Epidemiology at the Faculty of Epidemiology and Population Health at the London School of Hygiene and Tropical Medicine.
The course is offered for free as part of RECAP, a collaborative project between the American University of Beirut and the London School of Hygiene and Tropical Medicine, funded by the UK Research and Innovation as part of the Global Challenges Research Fund (https://www.lshtm.ac.uk/research/centres-projects-groups/recap).
Apply to the course before November 15, 2018. Seats are limited, and accepted applicants will be notified by email.
For more information, please contact Dr. Ghina Mumtaz at 01-350000 ext 4652 or email email@example.com