2416 papers
This study employs a scientometric analysis of 795 publications from 2006 to 2026 to trace the evolution of landslide susceptibility mapping from heuristic models to advanced GeoAI frameworks, highlighting key thematic shifts, emerging frontiers like explainable AI, and persistent challenges in data and model transferability.
This GIS-based study of Agartala, India, analyzes the socio-spatial dynamics of residential land use by integrating household survey data with cadastral records to reveal a Multiple Nuclei urban structure characterized by significant land value gradients, infrastructure disparities, and distinct housing typologies that inform recommendations for decentralized service provision and sustainable urban planning.
This study documents a decade-long shift in a southern Brazil macroalgae community where seasonal richness patterns for red and brown algae inverted due to thermal stress, while green algae remained dominated by opportunistic species, highlighting the community's adaptive capacity and providing a crucial baseline for future monitoring in the Southwestern Atlantic.
This study demonstrates the feasibility and improved predictive performance of a Bayesian-optimized XGBoost data-driven model for evaluating shallow gas hazard susceptibility in urban strata, using Longgang City as a case study to complement existing knowledge-driven approaches.
This study employs an integrated Fuzzy AHP and Fuzzy TOPSIS framework to prioritize tourism sites within Vietnam's Cat Ba Archipelago based on green economy criteria, revealing that natural capital management is the most critical factor and advocating for differentiated, conservation-led interventions rather than uniform expansion.
This paper proposes the displacement vector angle, derived from three-dimensional deep displacement measurements, as a superior early warning indicator that characterizes landslide deformation evolution from vertical compression to horizontal sliding more effectively than traditional single-direction kinematic parameters.
This study reveals that ionic environments drive an "ion-amplified photochemical filtering" mechanism that transforms microplastic-derived carbon into a simplified, redox-active dissolved organic matter pool with distinct polymer-specific molecular signatures, thereby reshaping our understanding of microplastic biogeochemical cycling in aquatic systems.
This study utilizes satellite and climate model data to project thermal stress scenarios for South China Sea coral reefs under various climate change pathways, identifying priority conservation zones and proposing differentiated management strategies to guide future ecological governance and marine protected area siting.
This study develops a spatially adaptive flood risk framework for 412 Melbourne neighbourhoods using Multiscale Geographically Weighted Regression to objectively weight hazard, exposure, and vulnerability indicators, revealing that socioeconomic factors and building density are dominant risk drivers and identifying previously overlooked high-risk areas beyond the immediate riverbanks.
This systematic integrative review proposes a Context-Governance-Capability-Action-Assurance framework to guide South African universities in transforming fragmented sustainability efforts into adaptive, equitable, and performance-driven Green Campus Initiatives that address local challenges like resource insecurity and infrastructure inequality.