Modeling the Underlying Drivers of Natural Vegetation Occurrence in West Africa with Binary Logistic Regression Method

Modeling the Underlying Drivers of Natural Vegetation Occurrence in West Africa with Binary Logistic Regression Method

The occurrence of natural vegetation at a given time is determined by interplay of multiple drivers. The effects of several drivers, e.g., geomorphology, topography, climate variability, accessibility, demographic indicators, and changes in human activities on the occurrence of natural vegetation in...

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Bibliographic Details
Main Authors: Beatrice Asenso Barnieh, Li Jia, Massimo Menenti, Min Jiang, Jie Zhou, Yelong Zeng, Ali Bennour
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sustainability
Subjects:
West Africa
natural vegetation
underlying drivers
climate
human activities
binary logistic regression
Online Access:https://www.mdpi.com/2071-1050/13/9/4673

Internet

https://www.mdpi.com/2071-1050/13/9/4673

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