LISPOP Workshop on Reproducible Research: Geospatial Mapping with R

Course Description

This course provides an introduction to geospatial mapping with R. Using publicly available cartographic boundary files and diverse social datasets, including Canadian census and public opinion data, participants will learn how to merge social data with geospatial data frames and will practice building visually intuitive interactive maps with the leaflet package. The course will cover the visualization of polygon boundaries (such as Provinces, Forward Sortation Areas, federal electoral boundaries, etc.) and the use of longitude and latitude coordinates for pinpoint mapping of geocoded data.

Prerequisites: participants should have basic proficiency in importing data to R and some knowledge of tidyverse syntax.

Instructor Biography

At Crestview Strategy, Marcus provides critical insight on research methodologies, data collection and analysis, and statistical modelling techniques. He is a published academic researcher with advanced expertise in variance estimation strategies including linear and logistic regression, multi-level modelling, and time series analysis.

Previously, Marcus worked as a Researcher at Simon Fraser University where contributed to research projects related to political behaviour, public opinion, and public policy. Marcus is highly skilled at data wrangling and visualization using R open-source computing software and has exceptional abilities in communicating results to diverse audiences.

Marcus is a doctoral candidate (ABD) in Political Science at Simon Fraser University and holds a master’s degree in Political Science as well as a Bachelor of Arts (Hons.) in International Studies. His doctoral research investigates the extent to which contextual circumstances influence personal political expressions in Canada and across Western democracies.