A Geographically Weighted Regression–Compute Unified Device Architecture Approach to Explore the Spatial Agglomeration and Heterogeneity in Arable Land Consumption in Southwest China

Arable land loss has become a critical issue in China because of rapid urbanization, industrial expansion, and unsustainable agricultural practices. While previous studies have explored the factors contributing to this loss, they often fall short in addressing the challenges of spatial heterogeneity...

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Bibliografische gegevens

Hoofdauteurs:	Chang Liu, Tingting Xu, Letao Han, Sapu Du, Aohua Tian
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-09-01
Reeks:	Agriculture
Onderwerpen:	GWR-CUDA parallel computation spatial agglomeration and heterogeneity arable land change
Online toegang:	https://www.mdpi.com/2077-0472/14/10/1675
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