Discrete Choice Analysis with R, 1st ed. 2022 Use R! Series

Antonio Páez is a Professor in the School of Earth, Environment and Society at McMaster University. He trained as a civil engineer and upon joining McMaster was adopted into geography as his home discipline. Now he specializes in spatial data analysis, discrete choice modeling, transportation systems, accessibility, and urban and health geography. He is listed as author or co-author in more than 130 peer reviewed articles in international academic journals, and also recently released his book An Introduction to Spatial Data Analysis and Statistics: A Course in R. He has long standing interests in languages, science, science fiction, fantasy, and art. He lives in Hamilton, Ontario, where the summers are short but hot.

Geneviève Boisjoly is an Assistant Professor in transport engineering at Polytechnique Montréal. Building on her multidisciplinary background (mechanical engineering, sustainability science and urban planning), she is concerned with the interactions between transport networks, land use and travel behavior, from a sustainability standpoint. She has developed an extensive expertise related to indicators of access to urban opportunities and their integration in urban planning. More specifically, she works on the needs and perceptions of users and on how to include them in integrated land use and transport planning tools. Her work focuses on active and public transport modes, travel behavior and social equity. 

Introduces the fascinating field of discrete choice analysis in a gentle and intuitive way

Examples coded in the R statistical language contribute to enhancing understanding of the concepts and implementation

Develops synergies between discrete choice modeling and other data analysis techniques with an emphasis on visualization