From mapping to decision making: a hybrid rule-based and machine learning framework for spatial land-use zoning
Küçük Resim Yok
Tarih
2026
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Frontiers Media Sa
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The rapid conversion of land use in coastal regions necessitates advanced decision support frameworks that bridge the gap between mapping and operational zoning. This study introduces the Dual-Logic Spatial Zoning Model (DLSZM), a hybrid framework designed to translate socio-ecological indicators into four planning regimes: Strict Conservation, Managed Use, Development Guidance, and Restoration. Applied to the Antalya region in T & uuml;rkiye at a 30-meter grid resolution, the results demonstrate a high degree of regional convergence between expert-driven and machine learning pathways. Quantitative evaluation via an area-weighted confusion matrix shows that both methods produced identical classifications for Managed Use zones across approximately 7,630 square kilometers. While Managed Use remains the dominant classification, occupying landscapes with moderate ecological value, significant structural divergences were identified in transitional coastal belts. Alluvial transition analysis reveals that the machine learning model, driven by non-linear interactions captured in SHAP analysis, reassigned significant land areas from Strict Conservation and Development categories into the Restoration zone. Specifically, the machine learning framework identifies approximately 2,046 square kilometers of Restoration area, indicating a substantially higher sensitivity to cumulative stressors and degradation signals compared to the expert-derived logic. These findings suggest that while expert systems provide normative clarity, the machine learning pathway offers a more intervention-oriented spatial interpretation, effectively capturing the complex vulnerability dynamics of rapidly transforming coastal environments.
Açıklama
Anahtar Kelimeler
coastal planning, explainable AI, hybrid modeling, land-use zoning, multi-criteria evaluation, spatial analysis
Kaynak
Frontiers in Environmental Science
WoS Q Değeri
Q2
Scopus Q Değeri
Cilt
14
