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This deep water substrate bottom type model was created to aid in habitat modeling, and to complement the nearshore bottom patches. It was created from a combination of bathymetrically-derived layers in addition to bottom type observations. Using random forest classification, the relationship between observed substrates and bathymetric derivatives was estimated across the entire area of interest. <\/SPAN><\/P>

The raster is categorized into: 1) Rock, 2) Mixed, 3) Sand, 4) Mud<\/SPAN><\/P>

____________________________________________________________________________<\/SPAN><\/P>

Ce modèle de type de fond à substrat en eau profonde a été créé pour faciliter la modélisation de l\u2019habitat et pour compléter les parcelles de fond du littoral. Il a été créé à partir d\u2019une combinaison de couches dérivées de la bathymétrie en plus des observations du type de fond. À l\u2019aide d\u2019une classification par forêt d\u2019arbres décisionnels, la relation entre les substrats observés et les dérivés bathymétriques a été estimée dans l\u2019ensemble du site d\u2019intérêt.<\/SPAN><\/P>

La trame est classée en : 1) Roche, 2) Mélange, 3) Sable, 4) Vase<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "mapName": "Deep_Substrate_Model_100m_Pacific_Canadian_Shelf", "description": "

This deep water substrate bottom type model was created to aid in habitat modeling, and to complement the nearshore bottom patches. It was created from a combination of bathymetrically-derived layers in addition to bottom type observations. Using random forest classification, the relationship between observed substrates and bathymetric derivatives was estimated across the entire area of interest. <\/SPAN><\/P>

The raster is categorized into: 1) Rock, 2) Mixed, 3) Sand, 4) Mud<\/SPAN><\/P>

____________________________________________________________________________<\/SPAN><\/P>

Ce modèle de type de fond à substrat en eau profonde a été créé pour faciliter la modélisation de l\u2019habitat et pour compléter les parcelles de fond du littoral. Il a été créé à partir d\u2019une combinaison de couches dérivées de la bathymétrie en plus des observations du type de fond. À l\u2019aide d\u2019une classification par forêt d\u2019arbres décisionnels, la relation entre les substrats observés et les dérivés bathymétriques a été estimée dans l\u2019ensemble du site d\u2019intérêt.<\/SPAN><\/P>

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This deep water substrate bottom type model was created to aid in habitat modeling, and to complement the nearshore bottom patches. It was created from a combination of bathymetrically-derived layers in addition to bottom type observations. Using random forest classification, the relationship between observed substrates and bathymetric derivatives was estimated across the entire area of interest. <\/SPAN><\/P>

The raster is categorized into: 1) Rock, 2) Mixed, 3) Sand, 4) Mud<\/SPAN><\/P>

____________________________________________________________________________<\/SPAN><\/P>

Ce modèle de type de fond à substrat en eau profonde a été créé pour faciliter la modélisation de l\u2019habitat et pour compléter les parcelles de fond du littoral. Il a été créé à partir d\u2019une combinaison de couches dérivées de la bathymétrie en plus des observations du type de fond. À l\u2019aide d\u2019une classification par forêt d\u2019arbres décisionnels, la relation entre les substrats observés et les dérivés bathymétriques a été estimée dans l\u2019ensemble du site d\u2019intérêt.<\/SPAN><\/P>

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