Fourier-based optimization for multivariate spatial-temporal regression model in chlorophyll-a presence prediction around Galápagos Islands

Chlorophyll-a (Chl-a) is an indicator of phytoplankton biomass, which can be used to predict the presence of fish in the ocean. By predicting the Chl-a with sufficient time, this data can be used to better plan naval operations that combat illegal, unreported and unregulated fishing by increasing su...

• Päätekijä: Chávez-Castrillón, Fernando (author)
• Muut tekijät: Marchán-Hernánez, Santiago (author), Ivaldi, Roberta (author), Sciavicco, Guido (author)
• Aineistotyyppi: article
• Kieli: eng
• Julkaistu: 2023
• Aiheet: Regresión espacio temporal; Prevención de la pesca ilegal; Transformada discreta de Fourier; Variables biogeoquímicas del océano; Spatial temporal regression; Illegal fishing prevention; Discrete Fourier transform; biogeochemical ocean variables
• Linkit: https://revistas.uteq.edu.ec/index.php/ingenio/article/view/561