Herrero-Langreo, Ana; Gorretta, Nathalie; Tisseyre, Bruno; Gowen, Aoife; Xu, Jun-Li; Chaix, Gilles Christophe 
; Roger, Jean-Michel
Source: Analytica Chimica Acta. Unidade: ESALQ
Subjects: ESPECTROSCOPIA, GEOESTATÍSTICA, IMAGEM, MAPAS, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR
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HERRERO-LANGREO, Ana et al. Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach. Analytica Chimica Acta, v. 1077, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.aca.2019.05.067. Acesso em: 10 set. 2024.APA
Herrero-Langreo, A., Gorretta, N., Tisseyre, B., Gowen, A., Xu, J. -L., Chaix, G. C., & Roger, J. -M. (2019). Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach. Analytica Chimica Acta, 1077, 1-13. doi:10.1016/j.aca.2019.05.067NLM
Herrero-Langreo A, Gorretta N, Tisseyre B, Gowen A, Xu J-L, Chaix GC, Roger J-M. Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach [Internet]. Analytica Chimica Acta. 2019 ; 1077 1-13.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.aca.2019.05.067Vancouver
Herrero-Langreo A, Gorretta N, Tisseyre B, Gowen A, Xu J-L, Chaix GC, Roger J-M. Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach [Internet]. Analytica Chimica Acta. 2019 ; 1077 1-13.[citado 2024 set. 10 ] Available from: https://doi.org/10.1016/j.aca.2019.05.067
