Editorials
29 February 2024
Vol. 19 No. 1 (2024)
Mastering geographically weighted regression: key considerations for building a robust model
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Geographically weighted regression (GWR) takes a prominent role in spatial regression analysis, providing a nuanced perspective on the intricate interplay of variables within geographical landscapes (Brunsdon et al., 1998). However, it is essential to have a strong rationale for employing GWR, either as an addition to, or a complementary analysis alongside, non-spatial (global) regression models (Kiani, Mamiya et al., 2023). Moreover, the proper selection of bandwidth, weighting function or kernel types, and variable choices constitute the most critical configurations in GWR analysis (Wheeler, 2021). [...]
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Citations
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Firouraghi N, Bergquist R, Fatima M, Mohammadi A, Hamer DH, Shirzadi MN, Kiani B, 2023. High-risk spatiotemporal patterns of cutaneous leishmaniasis: a nationwide study in Iran from 2011 to 2020. Infect Dis Poverty 12:49. DOI: https://doi.org/10.1186/s40249-023-01103-1
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Kiani B, Fatima M, Amin N.H, Hesami A, 2023. Comparing geospatial clustering methods to study spatial patterns of lung cancer rates in urban areas: A case study in Mashhad, Iran. GeoJournal 88:1659-69. DOI: https://doi.org/10.1007/s10708-022-10707-3
Kiani B, Mamiya H, Thierry B, Firth C, Fuller D, Winters M, Kestens Y. 2023. The temporal sequence between gentrification and cycling infrastructure expansions in Montreal, Canada. Habitat Int 139:102899. DOI: https://doi.org/10.1016/j.habitatint.2023.102899
Kiani B, Thierry B, Fuller D, Firth C, Winters M, Kestens Y. 2023. Gentrification, neighborhood socioeconomic factors and urban vegetation inequities: A study of greenspace and tree canopy increases in Montreal, Canada. Landsc. Urban Plan. 240:104871. DOI: https://doi.org/10.1016/j.landurbplan.2023.104871
Mohammadi A, Bergquist R, Fathi G, Pishgar E, de Melo SN, Sharifi A, Kiani B, 2022. Homicide rates are spatially associated with built environment and socio-economic factors: a study in the neighbourhoods of Toronto, Canada. BMC Public Health 22:1482. DOI: https://doi.org/10.1186/s12889-022-13807-4
Mohammadi A, Pishgar E, Fatima M, Lotfata A, Fanni Z, Bergquist R, Kiani B, 2023. The COVID-19 Mortality Rate Is Associated with Illiteracy, Age, and Air Pollution in Urban Neighborhoods: A Spatiotemporal Cross-Sectional Analysis. Trop Med Infect 8:85. DOI: https://doi.org/10.3390/tropicalmed8020085
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How to Cite
Mastering geographically weighted regression: key considerations for building a robust model. (2024). Geospatial Health, 19(1). https://doi.org/10.4081/gh.2024.1271
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