Estimating Land-Use Change Using Machine Learning: A Case Study on Five Central Coastal Provinces of Vietnam

Estimating Land-Use Change Using Machine Learning: A Case Study on Five Central Coastal Provinces of Vietnam

Population growth is one factor relevant to land-use transformation and expansion in urban areas. This creates a regular mission for local governments in evaluating land resources and proposing plans based on various scenarios. This paper discussed the future trend of three kinds of land-use in the...

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Bibliographic Details
Main Authors:	Dang, T.-T (Author), Giang, N.H (Author), Hieu, T.D (Author), Ngu, N.H (Author), Wang, Y.-R (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	decision-making industrial land-use Lasso Linear Regression (LLR) Multivariate Adaptive Regression Spline (MARS) Random Forest Regression (RFR) rural land-use urban land-use
Online Access:	View Fulltext in Publisher

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