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Claire Kelling

Biographic Data

ID943252
NAMEClaire Kelling
GIVEN NAMESClaire
FAMILY NAMEKelling
SIGNATUREKELLING C
AFFILIATIONSPennsylvania State University
ORCID0000-0001-6200-3977
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS6
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Building a longitudinal geospatial dataset of micro-businesses in Mexico City

    Open Access•Irene Farah, Claire Kelling et al.•ARTICLE•Environment and Planning B Urban…•2026

    We introduce a methodology and open-source code to construct a longitudinal dataset using georeferenced business data from Mexico’s National Statistical Directory of Economic Units (DENUE). The data includes the business’ coordinates and other geographic characteristics, but imprecision in the coordinates across years, lack of business IDs before 2015, and concerns with these recently introduced IDs make longitudinal analysis of business continui…

  • Analysing community reaction to refugees through text analysis of social media data

    Claire Kelling, Burt L Monroe•ARTICLE•New Community•2023•Cited by: 4•References: 68

    Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook in Lancaster, Pennsylvania, and Roanoke, Virgi…

  • Connected in health

    Open Access•Christopher H Seto, C Graif et al.•ARTICLE•Health & Place•2022•Cited by: 2•References: 6

  • Modeling the Social and Spatial Proximity of Crime

    Open Access•Claire Kelling, C Graif et al.•ARTICLE•Journal of Quantitative Criminology•2021

  • Analysis of Conflict Diffusion Over Continuous Space

    Open Access•Claire Kelling, YiJyun Lin•CHAPTER•Computational Conflict Research•2020

    This study illustrates an innovative application of methods in spatial statistics to study the diffusion of conflict events. We investigate how spatial processes of conflict events vary with different characteristics of the events and actors involved in the events. Actor-level attributes have often been ignored in existing empirical studies, which could lead to insufficient modeling of conflict processes and patterns. Due to recent technological …

  • Analysing community reaction to refugees through text analysis of social media data

    Claire Kelling, Burt L Monroe•ARTICLE•New Community•2023•Cited by: 4•References: 68

    Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook in Lancaster, Pennsylvania, and Roanoke, Virgi…

  • Connected in health

    Open Access•Christopher H Seto, C Graif et al.•ARTICLE•Health & Place•2022•Cited by: 2•References: 6

  • Analysis of Conflict Diffusion Over Continuous Space

    Open Access•Claire Kelling, YiJyun Lin•CHAPTER•Computational Conflict Research•2020

    This study illustrates an innovative application of methods in spatial statistics to study the diffusion of conflict events. We investigate how spatial processes of conflict events vary with different characteristics of the events and actors involved in the events. Actor-level attributes have often been ignored in existing empirical studies, which could lead to insufficient modeling of conflict processes and patterns. Due to recent technological …

  • Modeling the Social and Spatial Proximity of Crime

    Open Access•Claire Kelling, C Graif et al.•ARTICLE•Journal of Quantitative Criminology•2021

  • Connected in health

    Open Access•Christopher H Seto, C Graif et al.•ARTICLE•Health & Place•2022•Cited by: 2•References: 6

  • Analysing community reaction to refugees through text analysis of social media data

    Claire Kelling, Burt L Monroe•ARTICLE•New Community•2023•Cited by: 4•References: 68

    Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook in Lancaster, Pennsylvania, and Roanoke, Virgi…

  • Building a longitudinal geospatial dataset of micro-businesses in Mexico City

    Open Access•Irene Farah, Claire Kelling et al.•ARTICLE•Environment and Planning B Urban…•2026

    We introduce a methodology and open-source code to construct a longitudinal dataset using georeferenced business data from Mexico’s National Statistical Directory of Economic Units (DENUE). The data includes the business’ coordinates and other geographic characteristics, but imprecision in the coordinates across years, lack of business IDs before 2015, and concerns with these recently introduced IDs make longitudinal analysis of business continui…

Computer Science (3 works) · Geography (3 works) · Sociology (3 works) · Demography (2 works) · Econometrics (2 works) · Mathematics (2 works) · Political science (2 works) · Population (2 works) · Psychology (2 works) · Social media (2 works)

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