Probing factors associated with ecological footprint through machine learning

Probing factors associated with ecological footprint through machine learning

Sustainability is achieved by balancing economic, environmental, and social considerations, ensuring that present needs are met without depleting resources or causing irreparable harm to future generations. This is aided by the Ecological Footprint (EF) matrices that quantify the environmental impac...

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Bibliographic Details
Main Authors: Chupeco, Arabelle Raisa C., Recel, Cher Danica T., Martinez, John Albert R.
Format: text
Language:English
Published: Animo Repository 2023
Subjects:
Nature—Effect of human beings on
Machine learning
Logistic regression analysis
Biology
Online Access:https://animorepository.dlsu.edu.ph/etdb_bio/72
https://animorepository.dlsu.edu.ph/context/etdb_bio/article/1075/viewcontent/2024_Chupeco_EtAl_Probing_Factors_Associated_with_Ecological_Footprint_Through_Mach.pdf
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Institution: De La Salle University
Language: English

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https://animorepository.dlsu.edu.ph/etdb_bio/72
https://animorepository.dlsu.edu.ph/context/etdb_bio/article/1075/viewcontent/2024_Chupeco_EtAl_Probing_Factors_Associated_with_Ecological_Footprint_Through_Mach.pdf

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