Author

Tae Seung Go

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Open access Sep 2026

Analysis of Future Green Space Changes in Cities and Counties of Chungcheongbuk-do Using AI-based Machine Learning

This study analyzes changes in green space area across 11 cities and counties in Chungcheongbuk-do and develops future projection data under Shared Socioeconomic Pathways (SSP)1-2.6 and SSP5-8.5 climate scenarios using machine learning and explainable artificial intelligence techniques. Ordinary least squares (OLS) reg...

Seungil Yum, Tae Seung Go, Dayun Go et al. · GEO DATA · 0 citations

인공지능 기반 머신러닝을 활용한 미래 충청북도 시군 녹지 면적 변화

The results indicate that green space changes are explained more strongly by population density and land-use structure than by climate variables, which can support future studies on climate change adaptation, urban planning, environmental management, and sustainable land-use policy.

승일 염, Seungil Yum, Tae Seung Go et al. · 0 citations