Results 81 to 90 of about 29,151 (185)
How sustainable is OpenStreetMap? Tracking individual trajectories of editing behavior
OpenStreetMap (OSM) has been playing increasingly important roles in location-based services, urban planning, tourism, and disaster management. In this paper, we examine a fundamental issue: can OSM reliably provide its services in the long run?
Xiang Zhang +4 more
doaj +1 more source
Abstract Robust water‐system planning under deep inflow‐condition uncertainty requires synthetic streamflow scenarios that capture a wide range of target changes in magnitude, variability, and seasonality; the primary drivers of water‐system operations.
Hamid Gozini +3 more
wiley +1 more source
Space-Time Representations of Complex Networks: What is next? [PDF]
This article engages the narrative of fragmentation in international law by asserting that legal academics and professionals have failed to probe more deeply into ‘fragmentation’ as a concept and, more specifically, as a spatial metaphor.
Owens, J.B., Wachowicz, M.
core +5 more sources
Accurate extraction of built-up areas is helpful to urban development and map updating. Nighttime light (NTL) data can capture the lighting signal of ground objects.
Lei Wang +7 more
doaj +1 more source
Evaluate Sequential Interventions for Adaptive Water Management in Large River Basins
Abstract Integrated River Basin Management (IRBM) and Adaptive Water Management (AWM) have been widely promoted as guiding principles, yet their practical realization at the basin scale remains difficult and underutilized. Sequential Interventions (SIs), stepwise actions applied in a predefined sequence at designated decision points, offer a practical ...
Yuhan Yan +3 more
wiley +1 more source
Impervious surface extraction is essential for environmental management and urban studies. Although nighttime light data have been widely used for this purpose, few studies have utilized the high-resolution (21 m) Qimingxing-1 data released in 2022 ...
Suixuan Qiu +5 more
doaj +1 more source
Abstract Large‐scale groundwater quality prediction is often constrained by sparse sampling, limiting the reliability of spatial assessments. This study introduces Tabular Prior‐data Fitted Network (TabPFN), a machine learning model based on prior‐fitting networks, to address this challenge and enable high‐precision mapping of groundwater bicarbonate ...
Tong Sun +8 more
wiley +1 more source
Influenced by various geophysical factors, gravity and bathymetry exhibit significant correlations only at certain intermediate wavelengths. In this study, a deep neural network (DNN) combined with multi-source gravity data was used to recovery the ...
Dechao An +6 more
doaj +1 more source
Commentary on a British Geological Survey Computing Archive (1965-85) [PDF]
An account of the emergence of computer methods in geology, as a background to a restricted archive of documents which chronicle their application in the British Geological ...
Loudon, T.V.
core
An Internal Validation Assessment of Scale Across Composite Index Model Structures
ABSTRACT Planning for natural hazards is vital, as these events can cause mass destruction and severely impact livelihoods. To aid hazard preparedness decision‐making, organizations can utilize composite indices like a Social Vulnerability Index (SVI), developed to identify vulnerable populations to ensure that those with inherent social inequities are
Selena Hinojos, Caitlin Grady
wiley +1 more source

