A scalable method for the estimation of spatial disaggregation models (2022)
Source: Computers and Geosciences. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE DADOS, CANA-DE-AÇÚCAR, GEOPROCESSAMENTO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
ABNT
FENDRICH, Arthur Nicolaus et al. A scalable method for the estimation of spatial disaggregation models. Computers and Geosciences, v. 166, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2022.105161. Acesso em: 28 ago. 2024.APA
Fendrich, A. N., Helou, E. S., Moreira, L. E. M. e, & Dourado Neto, D. (2022). A scalable method for the estimation of spatial disaggregation models. Computers and Geosciences, 166, 1-16. doi:10.1016/j.cageo.2022.105161NLM
Fendrich AN, Helou ES, Moreira LEM e, Dourado Neto D. A scalable method for the estimation of spatial disaggregation models [Internet]. Computers and Geosciences. 2022 ; 166 1-16.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.cageo.2022.105161Vancouver
Fendrich AN, Helou ES, Moreira LEM e, Dourado Neto D. A scalable method for the estimation of spatial disaggregation models [Internet]. Computers and Geosciences. 2022 ; 166 1-16.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.cageo.2022.105161