Overview: Submit this form to reserve a seat in the course "Introduction to GIS in R", offered by Applied Epi in July 2024.
About Applied Epi:
Applied Epi is a grassroots, nonprofit organization that is the leading provider of R training and support for the public health workforce. Our free
Epidemiologist R Handbook has been used over 2.7 million times by 750,000 people, and we have delivered synchronous R courses to 1,500 people at hundreds of health agencies including the US CDC, European CDC, Nigeria CDC, Doctors without Borders, WHO, national Ministries of Health, hundreds of district/local/county agencies, and Field Epidemiology Training Programs (FETPs).
Course overview: This course teaches the use of R to produce maps and perform simple analyses and data management tasks with spatial data for public health practice. Sessions include live coding demonstrations, lectures, interactive facilitated coding exercises, and 1-on-1 support meetings with instructors. There is approximately 1 instructor for each 6 participants You can read more in our brochure or our training page.
Topics: The course teaches participants to use the {ggplot2}, {sf}, and {plotly} R packages (among others) to make descriptive maps and perform simple spatial analyses. After a brief review of GIS principles, coordinate systems/projections, and shapefiles, we move to exercises using data from Ebola and COVID-19 outbreaks. We practice importing and cleaning spatial data, plotting points and polygons (administrative boundaries), conducting spatial joins and unions, aggregating case counts and plotting choropleth maps with case incidence, adjusting scales and colors, adding population denominators, labeling plotted features, adjusting projections, adding north arrows, scale bars, and legends, adding basemaps and inset maps, nearest neighbor analysis, buffer analysis, making maps iteratively, creating interactive maps, and embedding maps into PDF and HTML reports. Certificates of completion are awarded based on participation, submission of final R script, and completion of a feedback survey.
Language: This course is delivered in English.
Schedule: The classroom instruction will consist of 2 virtual, synchronous sessions of 3.5 hours each. Before the course, you are expected to complete software installations (R, RStudio, and RTools, R packages) and download of course materials.
Meeting platform: The course will occur via Google Meets. Please join via Google Chrome web browser.
Dates: Tuesday and Thursday on 16 and 18 July.
Time: 1630 to 2030 GMT* (Starts 0930 Los Angeles, 1230 New York, 1730 in London, 1830 Central Europe)
Session 1: Tuesday 16 July, 1630-2000 GMT
Session 2: Thursday 18 July, 1630-2000 GMT
*The course runs based on GMT, so if your country shifts to daylight savings the class start time may shift for you.
Prerequisites: Participants are expected to be very comfortable using R for basic data cleaning and descriptive analysis, with familiarity with tidyverse functions including ggplot2 and piping approaches.
Price per seat: 18 seats are available for immediate reservation at USD $ 450.00. Payment is preferred by bank transfer (accepted in USD, Euro, or GBP). Credit/debit cards are also accepted through our PayPal platform, but additional fees may apply. Within a few days of receiving your reservation, you will receive an email with payment or waitlist instructions, as applicable. Payment must be made within 10 business days of receiving the invoice or we may cancel your reservation.
