LESSANI, M. Naser und LI, Zhenlong, 2025. Enhancing the computational efficiency of the SGWR model and introducing its software implementation. Annals of GIS. 1 Dezember 2025. Vol. 31, no. 4, p. 635-650. DOI 10.1080/19475683.2025.2523739.
Elsevier - Harvard (with titles)Lessani, M.N., Li, Z., 2025. Enhancing the computational efficiency of the SGWR model and introducing its software implementation. Annals of GIS 31, 635-650. https://doi.org/10.1080/19475683.2025.2523739
American Psychological Association 7th editionLessani, M. N., & Li, Z. (2025). Enhancing the computational efficiency of the SGWR model and introducing its software implementation. Annals of GIS, 31(4), 635-650. https://doi.org/10.1080/19475683.2025.2523739
Springer - Basic (author-date)Lessani MN, Li Z (2025) Enhancing the computational efficiency of the SGWR model and introducing its software implementation.. Annals of GIS 31:635-650. https://doi.org/10.1080/19475683.2025.2523739
Juristische Zitierweise (Stüber) (Deutsch)Lessani, M. Naser/ Li, Zhenlong, Enhancing the computational efficiency of the SGWR model and introducing its software implementation., Annals of GIS 2025, 635-650.