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Short Course Online

Introduction to Spatial Analysis in R

London School of Hygiene and Tropical Medicine

10 days
Duration
1500 GBP/full
1500 GBP/full
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Start date

About

Our hands on, practical approach to teaching, with real-life examples, means you can progress from no previous experience with R to applying R to your own work with confidence. Join the Introduction to Spatial Analysis in R course from London School of Hygiene and Tropical Medicine.

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:

  • Introduction to 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
  • Introduction to spatial data types and spatial data concepts
  • Introduction to 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

  • Full-time
    • 10 days

Start dates & application deadlines

Language

English

Delivered

Online
  • Semi-structured

Academic requirements

We are not aware of any academic 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.

Tuition Fee

To alway see correct tuition fees
  • International

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 10 days.
  • EU/EEA

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 10 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Introduction to Spatial Analysis in R
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London School of Hygiene and Tropical Medicine

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