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Showing 58401 to 58450 of 59105 works
Measuring Urban Green Space Vitality through Multi-Source Visual and Textual Data: Integrating Social Media and Street-…
Abstract. Urban green space (UGS) vitality reflects actual public engagement rather than mere spatial provision. However, limited research has examined how micro-scale environment…
Generalizability of Foundation Models: A Case Study on Cocoa Mapping Across Countries Using Sparse Labels
Abstract. Remote Sensing Foundation Models (RSFMs), which are deep neural networks pre-trained on large-scale Earth observation datasets, have become increasingly popular in remot…
Integrating state-space models with map-matching to improve estimates of active travel motion
Abstract. Active travel researchers often use satellite navigation data to investigate relationships between behaviour, infrastructure, environmental exposures, and/or health. The…
Linking Public Transport Provision to Functional Regions: Evaluating Transport–Commuting Alignment in Estonia
Abstract. This study analyses the alignment between Estonia’s public transport (PT) network and functional regions derived from daily commuting related travel. The aim of the rese…
Beyond distance: assessing heat vulnerability through mobility-based accessibility to cooling resources
Abstract. Extreme heat has increasingly threatened urban health and well-being, making the assessment of heat vulnerability a growing research priority. Existing heat vulnerabilit…
The value of where – quantifying location values with tabular transformer models
Abstract. Location is a key feature of urban spaces. It influences housing and land markets, social segregation, and decisions in urban planning and administration. Hedonic price …
A High-Performance Game Engine-GIS-CFD System for Interactive Urban Wind Decision Support
Abstract. Wind simulation plays a critical role in urban design and planning. Most existing workflows rely on professional and general-purpose computational fluid dynamics (CFD) s…
Advancing National Fire Danger Forecasting through Geoinformatics
Abstract. With increasing climate variability, the risk of forest fires in northern Europe has risen substantially. Accurate, spatially explicit fire danger assessments are crucia…
Spatio-Temporal Knowledge Graph from Unstructured Texts: A Multi-Scale Approach for Food Security Monitoring
Abstract. Food security monitoring in West Africa requires timely, fine-grained, and interpretable information to support decision-making and crisis prevention. However, current a…
Assessing the Geographic Diversity of AI’s Platial Representations in Image Generation
Abstract. (Gen)AI diversity is not merely an ethical issue. From the perspective of geographic information science (GIScience), it could be interpreted as a function of uncertaint…
Uncertainty in Binned Building Construction Year Data: Comparing EPC and Crowdsourced Datasets
Abstract. The building’s construction year indicates energy performance and retrofit potential, and is used in energy performance ratings. However, in many countries, comprehensiv…
A graph-based community detection approach for identifying the semantic neighbourhoods within London’s Airbnb properties
Abstract. Neighbourhoods are a fundamental unit for organising, analysing, and understanding urban systems. While they can be described in administrative terms, subjective boundar…
Maximizing Data Coverage: Fusing Street View and Oblique Imagery to Quantify Vertical Greenery Potential in Urban Areas
Abstract. As urbanization intensifies globally, the Urban Heat Island (UHI) effect has emerged as a critical environmental challenge, inducing higher energy demands, compromised a…
Inclusive Multimodal Routing: How Behavioral Constraints Shape Accessibility
Abstract. Conventional routing algorithms in urban settings typically optimize travel time, assuming that travelers will accept any combination of public and active transport mode…
A Fractional Raster–Vector Clipping Operator for Boundary-Consistent Multi-Scale Spatial Analysis
Abstract. Raster–vector clipping is a fundamental operation in geospatial analysis. In practice, however, it is typically implemented as a binary rule that assigns pixels as eithe…
Should We Ask an LLM? Evaluating Toponym Disambiguation across Administrative Levels
Abstract. Toponym disambiguation, determining which real-world location a place name refers to, is a critical step in geoparsing pipelines, yet existing evaluations mix disambigua…
DGGS-Native Data Cubes: A Design Pattern for Scalable, Distortion-Aware Analytics
Abstract. The rapid growth of geospatial big data has intensified the need for efficient frameworks to store, process, and analyse large-scale, multidimensional datasets. Geospati…
Enhancing the Potential of a Tangible-Digital Planning Interface through User Evaluation
Abstract. Participatory urban planning increasingly relies on digital technologies to democratise geospatial information access, yet traditional GIS-based interfaces often exclude…
Locally Calibrated OpenStreetMap GPS Traces for Traffic Volume Estimation: A Three-Region Benchmark
Abstract. Traffic-volume estimates are needed far beyond the limited set of roads covered by permanent or periodic count stations. This paper tests whether the publicly available …
When Today’s Accuracy Fails Tomorrow: Evaluating Spatially Driven Real Estate Prediction Models
Abstract. Predictive models in real estate research often remain more theoretical than practically applicable. Beyond the limitation of restricted access to high-quality data, mos…
Towards Fine-grained Relevance Scoring of Social Media Posts in Disaster Response: A Decay-based Regression Approach
Abstract. Geo-social media posts can provide valuable real-time information during natural disasters. However, assessing their relevance for emergency response remains difficult. …
Geo-Alignment of Vague Cognitive Regions: Representing Uneven Cognitive Geographies of Large Language Models
Abstract. Vague cognitive regions (VCRs) such as Levant or Bible Belt play a central role in how people reason about space and place, despite lacking clear boundaries or formal de…
Detour-based metrics of alcohol availability along walking commutes
Abstract. As evidence accumulates that even moderate alcohol use carries health risks, policy interest is shifting toward reducing everyday exposure; yet existing spatial metrics …
Exploring urban polygonal representation learning for complex footprint groups
Abstract. Urban representation learning has traditionally focused on human mobility patterns and space functionality derived from points of interest. While such approaches provide…
Enhancing OpenStreetMap Building Footprints through nDSM-Based Geometric Segmentation for AI Training Data
Abstract. High-quality building footprint labels are a critical prerequisite for training AI-based segmentation models, yet reliable ground truth data is rarely available at scale…
Validation of SWAT+ Hydrological Model Using Remote Sensing-Based Evapotranspiration Data
Abstract. This study evaluates the performance of the SWAT+ (Soil and Water Assessment Tool Plus) model in simulating evapotranspiration (ET) in the Tordera River Basin (Catalonia…
Monitoring of pesticide treatment effects on crops using optical and SAR satellite remote sensing
Abstract. Agricultural chemicals pose increasing risks to soil, water and living organisms. Remote sensing (RS) offers potential to monitor vegetation responses to chemical treatm…
Behavior Analysis of Rhinoceroses and their Monitoring using a 3D Geovisualization Prototype
Abstract. Black and white rhinoceroses are emblematic large mammals of the African wilderness, yet poaching and habitat disturbance are critically endangering their survival. To e…
Ontology-based Textual Location Description Framework for Multidimensional Features
Abstract. Textual location descriptions provide meaningful representations of spatial positions and are widely used to convey the locations of people and objects. Contemporary app…
Can Large Language Models interpret participatory mapping comments at scale? Evidence from Prague’s emotional mapping
Abstract. Citizen contributions from online participatory mapping platforms surface local knowledge and lived experiences that can inform urban decision-making. However, as these …
A Method for Spatializing Disturbance by Detecting Human-Wildlife Encounters from GNSS Trajectories
Abstract. A significant source of human pressure on the environment originates from human-wildlife encounters during recreational activities in natural spaces. These events are di…
OpenStreetMap Suitability Analysis for Wheelchair Routing
Abstract. Navigation and wayfinding are essential for modern mobility and are readily available for vehicles and pedestrians. However, the process can be more challenging for whee…
From Missingness to Motivation: A “Living Dataset” Perspective on Volunteering Geographic Information
Abstract. OpenStreetMap (OSM) is the most popular, and arguably most successful, volunteered geographic information (VGI) project. The scale of OSM’s goal of mapping the world thr…
Measuring regional accessibility in urban form: A reproducible approach for urban analytics
Abstract. Across countries, urban form is characterised by polycentric city-regions. This entails challenges in analysing urban structures with regard to their locations within th…
From Individual Choices to Collective Impact: Quantifying the Role of Behavioural Changes in Greenhouse Gas Mitigation
Abstract. Household emissions, particularly from food consumption, represent a substantial yet underutilized component of urban greenhouse gas (GHG) emissions. While most research…
Mapping Mesoscale Eddies and Internal Tides Using Distributed Acoustic Sensing in Madeira Island
Mesoscale eddies are large, swirling anomalies of temperature and salinity, found almost everywhere in the ocean, extending from the surface to its deepest layers. They are genera…
Integrating Equity into Integrated Model Simulations with Emulators and Visualizations
While there is growing interest in and appreciation of the importance of incorporating representation of distributional impacts in integrated assessment models, the computational …
Impacts of Terrain Slope and Surface Roughness Variations on Turbulence Generation in the Nighttime Stable Boundary Lay…
Terrain-slope increases with and without upslope large surface roughness are found impacting downstream shear-generated turbulence differently in the nighttime stable boundary lay…
Industrial High Performance Computing Scalable and FAIR Workflow Opportunities for EO Operations Processing, Operations…
The computational demands of Sentinel data processing, archiving, and dissemination require scalable, efficient, and innovative solutions. While cloud computing-based services cur…
An Enigmatic Variability in the Tropical Middle Atmosphere
The tropical middle atmosphere is characterized by long-period oscillations such as the Quasi Biennial Oscillation and the Semiannual Oscillation which are primarily driven by the…
The art of VLBI scheduling
Very Long Baseline Interferometry (VLBI) is a truly global scientific effort that demands rigorous coordination among a network of telescopes distributed worldwide. Central to thi…
Reconstructing forest green water fluxes in a Mediterranean region over the past 20 years: Evidence for the drought par…
Green-water fluxes are a major component of the hydrological cycle globally. According to recent models and experimental observations, during droughts, wetter regions respond by i…
Developing a data and physics driven machine learning mesoscale eddy parameterisation for NEMO
The eddy-permitting NEMO model (ORCA025) is known to exhibit sub-par Southern Ocean circulation features, such as a too weak Antarctic Circumpolar Current transport and cool and w…
Next generation modular processing system for miniaturized remote sensing instruments
The study of climate-relevant processes in the atmosphere using airborne platforms is an important contribution to understanding our environment. The deployment of remote sensing …
Revisiting Copenhagen climate mitigation targets
Many economies set climate mitigation targets for 2020 at the 2009 15th Conference of the Parties conference of the United Nations Framework Convention on Climate Change in Copenh…
How do automatic phase pickings based on deep neural networks perform on different-scale case studies?
Machine-learning algorithms are widely applied to facilitate human tasks. For instance, in seismology, they can help deliver high-resolution seismic catalogs including very small …
ELD and NELD Prioritization for Multi-Hazard Loss and Damage in Rural and Urban Areas of Uttarakhand’s Himala…
The Indian Himalayan region, distinguished by its ecological sensitivity and dynamic topography, suffers significant losses annually due to frequent natural disasters like landsli…
The Intensity, Evolution, and Distribution of Cloud-to-Ground Lightning and Radar Reflectivity throughout the Life Cycl…
Based on the brightness temperature observed by the Fengyun-4A satellite, eight hundred mesoscale convective systems (MCSs) are identified in the middle reaches of the Yangtze Riv…
The dual nature of the hydrogen stable isotopes in tree-rings of the Holocene
The dual nature of tree-ring cellulose hydrogen isotope composition (δ²H) as a hydroclimatic and physiological proxy offers unique opportunities for palaeoclimatic resea…
Historical soil erosion events in border polje revealed by geochemical fingerprint analysis of soil profiles
Understanding soil erosion history in ecologically fragile karst regions is essential for sustainable land management. The potential use of border polje (BP) soil profiles as reli…
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