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Authors
Delgado Bejarano, Laura https://orcid.org/0000-0002-9608-9307
Loureiro Gonçalves Oliveira, Agda https://orcid.org/0000-0002-8761-9716
Fiolo Pozzuto, João Vitor https://orcid.org/0000-0002-4489-403X
Castañeda Sánchez, Dario https://orcid.org/0000-0002-2693-371X
Rios do Amaral, Lucas https://orcid.org/0000-0001-8071-4449
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Funding
Funding for this research was provided by:
Fundação de Amparo à Pesquisa do Estado de São Paulo (2024/01557-3)
Fundação de Amparo à Pesquisa do Estado de São Paulo (2024/13229-0)
Fundação de Amparo à Pesquisa do Estado de São Paulo (2022/03160-8)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (306867/2022-2)
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Article History
Received: 3 November 2025
Accepted: 19 December 2025
First Online: 27 December 2025
Declarations
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: The authors declare no competing interests.
: This work provides a practical, data-driven framework that guides users in selecting the optimal interpolation method by analyzing sample size and spatial structure. By replacing the common practice of arbitrary method selection, these findings directly improve the reliability and accuracy of digital soil maps, which are fundamental tools for effective site-specific management.
