Species Distribution Modelling via Feature Engineering and Machine Learning for Pelagic Fishes in the Mediterranean Sea

Species Distribution Modelling via Feature Engineering and Machine Learning for Pelagic Fishes in the Mediterranean Sea

In this work a fish species distribution model (SDM) was developed, by merging species occurrence data with environmental layers, with the scope to produce high resolution habitability maps for the whole Mediterranean Sea. The final model is capable to predict the probability of occurrence of each f...

Full description

Bibliographic Details
Main Authors: Dimitrios Effrosynidis, Athanassios Tsikliras, Avi Arampatzis, Georgios Sylaios
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
species distribution models
fish species
feature extraction
feature selection
XGBoost
habitability maps
Online Access:https://www.mdpi.com/2076-3417/10/24/8900

Similar Items

Similar Items