Ross Maciejewski

Ross Maciejewski: Choropleth map classification and design under uncertainty

Welcome to a seminar in computer science with associate professor Ross Maciejewski from Arizona State University.

Associate professor Ross Maciejewski, Arizona State University, USA
Date and time
Tuesday 16 April 2019 at 10:30-12:00 am
Room D1173, building D, Växjö
Professor Andreas Kerren, Linnaeus University
Choropleth Map Classification and Design Under Uncertainty


The choropleth map is an essential tool for spatial data analysis. However, the underlying attribute values of a spatial unit greatly influence the statistical analyses and map classification procedures when generating a choropleth map. If the attribute values incorporate a range of uncertainty, a critical task is determining how much the uncertainty impacts both the map visualization and the statistical analysis. In this talk, I will discuss some of our recent work in exploring choropleth map design, exploring how slight shifts in classification can drastically alter the map message.


Ross Maciejewski is an Associate Professor at Arizona State University in the School of Computing, Informatics & Decision Systems Engineering and Director of the Center for Accelerating Operational Efficiency (CAOE) - a Department of Homeland Security Center of Excellence. His primary research interests are in the areas of geographical visualization and visual analytics focusing on homeland security, public health, dietary analysis, social media, criminal incident reports, and the food-energy-water nexus.

Professor Maciejewski is a recipient of an NSF Career Award (2014) and was named a Fulton Faculty Exemplar (2017) and Global Security Fellow at Arizona State. His work has been recognized through a variety of awards at the IEEE Visual Analytics Contest (2010, 2013, 2015), a best paper award in EuroVis 2017, and a CHI Honorable Mention Award in 2018.