What is it about?
Aiming at disclosing a general research of geographically weighted regression, this study applies the latent Dirichlet allocation (LDA), a topic modeling approach, to analyze article abstracts with a publication period from 1996 to 2022.
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Why is it important?
In summary, the research findings from the current study reflect a general landscape of the state of research in geographically weighted regression. The discovered research topics, as well as their distributions over time, journal, and region, are expected to stimulate more relevant discussions within the community, from which new insights can be generated toward concrete actions for different stakeholders.
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This page is a summary of: Trends and topics in geographically weighted regression research from 1996 to 2019, Area, December 2021, Wiley,
DOI: 10.1111/area.12757.
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