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Overview
Spatial analysis is becoming an increasingly useful tool throughout public health research with increasing amounts of spatial health data generated each year. Whether you’re a humanitarian aid worker looking to add map making to your growing rapid analysis skillset or an early stage PhD student who wants to learn the fundamentals before progressing to geostatistics, this short course will be well suited to your needs.
Teaching methods
The Introduction to Spatial Analysis in R course from London School of Hygiene and Tropical Medicine is taught as a series of hands-on computer practicals using public health relevant examples from humanitarian crises. Background theory is presented by a lead tutor then students work independently or in small teams to solve a series of exercises with help available from in classroom teaching assistants. No prior experience with R is necessary for the course, but some basic knowledge and interest in epidemiological data analysis is highly desirable.
Programme Structure
Courses include:
- The R computer programme, vocabulary and format of different datatypes
- Using the “dplyr” and “ggplot2” packages to create numerical and visual summaries of structured data sets
- Principles of tidy data
- Practical session testing taught elements requiring a step by step approach to answer a real-world data analysis problem
- Spatial data types and spatial data concepts
- Reading and visualising spatial data including interactive maps using “mapview”, “tmap”, and “sf” packages
- Demonstration of basic and some advanced spatial manipulations such as buffering, spatial joins, and distance calculations
- Visualisation of simple feature objects
- Practical requires combining the skills into logical steps to answer a spatial analysis problem
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
- Semi-structured
Disciplines
Geographical Information Systems (GIS) View 5 other Short Courses in Geographical Information Systems (GIS) in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Practicing public health professionals and health researchers interested in adding expertise in spatial data analysis to their existing skillsets. Operational researchers and in particular those working in humanitarian crises / emergency deployments are particularly encouraged.
- No previous experience with R or spatial data analysis is required, but some experience with quantitative data analysis using programmable computer software, e.g. plotting and analysing data in Stata, SAS, Python or MATLAB is expected.
- It is also expected that students are familiar with the use of the Generalised Linear Model (e.g. logistic regression, Poisson regression, multiple explanatory variables) and that computing is, or will be, part of their regular day-to-day role.
Tuition Fee
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International
1650 GBP/fullTuition FeeBased on the tuition of 1650 GBP for the full programme during 12 days. -
National
1650 GBP/fullTuition FeeBased on the tuition of 1650 GBP for the full programme during 12 days.
Funding
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