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Persistent Identifier
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doi:10.25824/redu/DEBGPB |
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Publication Date
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2026-02-13 |
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Title
| Replication data for: Performance of interpolation methods in digital soil mapping: the influence of data characteristics |
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Author
| Bejarano, Laura Delgado (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Agrícola.) - ORCID: https://orcid.org/0000-0002-9608-9307
Amaral, Lucas Rios do (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Agrícola.) - ORCID: https://orcid.org/0000-0001-8071-4449 |
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Point of Contact
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Use email button above to contact.
Amaral, Lucas Rios do (Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Agrícola.) |
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Description
| This dataset compiles the georeferenced soil sampling tables produced within the Master’s research in Agricultural Engineering (UNICAMP). It contains the soil fertility data collected in three agricultural areas located in São Paulo State, Brazil. The dataset includes sampling tables corresponding to three sampling intensities (1, 0.5, and 0.2 samples per hectare), representing different density scenarios evaluated in the study. Each table contains geographic coordinates (UTM) and soil fertility attributes (P, K, CTC, pH, V%, and clay content). These data were used as input for the generation of soil fertility maps using six spatial interpolation methods (IDW, TPS, OK, RK, RF, and SVM) and for the development of variable-rate fertilizer prescription maps based on regional agronomic recommendations. The interpolation procedures and prescription criteria are fully described in the associated Master’s thesis and related publications. |
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Subject
| Agricultural Sciences; Computer and Information Science; Engineering |
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Keyword
| Interpolation (DLC (LCSH))
Soil fertility
Soil mapping |
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Related Publication
| Delgado Bejarano, L., Loureiro Gonçalves Oliveira, A., Fiolo Pozzuto, J. V., Castañeda Sánchez, D., & Rios do Amaral, L. (2026). Performance of interpolation methods in digital soil mapping: the influence of data characteristics. Precision Agriculture, 27(1), 10. doi: https://doi.org/10.1007/s11119-025-10311-8
Bejarano, L. D., Oliveira, A. L. G., Oldoni, H., Sánchez, D. C., & Amaral, L. R. do .. (2025). EFFECT OF INTERPOLATION METHODS ON THE GENERATION OF FERTILIZER PRESCRIPTION MAPS UNDER LIMITED SAMPLING SCENARIOS. Engenharia Agrícola, 45(spe2), e20250055. https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe220250055/2025 doi: https://doi.org/10.1590/1809-4430-Eng.Agric.vnespe220250055/2025 |
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Funding Information
| Fundação de Amparo à Pesquisa do Estado de São Paulo: FAPESP: 2024/01557-3
Fundação de Amparo à Pesquisa do Estado de São Paulo: FAPESP: 2022/03160-8 |
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Depositor
| Bejarano, Laura Delgado |
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Deposit Date
| 2025-10-17 |
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Related Dataset
| Melo, D. D., & Amaral, L. R. do. (2024). Replication data for: Hierarchical stratification for spatial sampling and digital mapping of soil attributes (V1 ed.). Repositório de Dados de Pesquisa da Unicamp. https://doi.org/doi/10.25824/redu/8QITE4 |
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Declarações obrigatórias sobre ética e privacidade
| o projeto que gerou os dados foi aprovado pelo Comite de Ética em Pesquisa da Unicamp ou não envolve questões que requeiram tal aprovação; os dados que serão depositados estão de acordo com a LGPD (Lei Geral de Proteção de Dados) |