The Interesting Data and Methods Session I
Date: 3/26/2025
Time: 12:50 PM - 2:10 PM
Room: 252A, Level 2, Huntington Place
Type: Paper
Recorded:
Theme:
Curated Track: Student Day
Sponsor Group(s):
No Sponsor Group Associated with this Session, Digital Geographies Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Daniel Arribas-Bel University of Liverpool
Elizabeth Delmelle University of Pennsylvania
Rachel Franklin Newcastle University
Isabelle Nilsson University of North Carolina at Charlotte
Chair(s):
Rachel Franklin, Newcastle University
,
Description:
We live in amazing times for spatial data and methods. Geographers and geographic data scientists are constantly discovering (and borrowing) new and interesting ways to extract useful information from both novel and longstanding types of data, including from mobile phones, imagery, text, historical maps, "smart" data, and linked data. Data fuels methodological innovation and, together, data and methods lend themselves to compelling and impactful applications that highlight the utility of spatial approaches and perspectives and also, hopefully, improve our understanding of the world around us and help us contribute to its improvement.
In other words, data novelty is interesting but it's also important. New spatial data and methods offer creative and insightful ways to observe the world and illuminate hidden relationships, structures, patterns and inequalities. Building on, and working alongside, traditional data and approaches, these novel applications offer the potential to both identify and help redress big spatial inequality challenges across the entire geography landscape, including housing, transportation, mobility, and health.
Presentations (if applicable) and Session Agenda:
Jessica Embury, San Diego State University |
Understanding demographic data bias in mobile location data |
Yue Jing, University of Florida |
Measuring Neighborhood Connectivity and Racial Homophily in Urban Encounter Networks: Insights from Mobile Phone Location Data |
Wenfei Xu, Cornell University |
An experienced racial-ethnic diversity dataset in the United States using human mobility data |
Elizabeth Delmelle, University of Pennsylvania |
The Evolution of Real Estate Advertisement Language in Racially Transitioning Neighborhoods |
Jonathan Schroeder, University of Minnesota |
The accuracy of harmonized tract time series by model, year and characteristic |
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The Interesting Data and Methods Session I
Description
Type: Paper
Date: 3/26/2025
Time: 12:50 PM - 2:10 PM
Room: 252A, Level 2, Huntington Place
Contact the Primary Organizer
Daniel Arribas-Bel University of Liverpool
d.arribas-bel@liverpool.ac.uk
Session sponsored by: