Understanding the complex spatiotemporal heterogeneity between ride-hailing demand and the urban built environment is crucial for optimizing urban space and allocating transportation resources. Previous analyses using fixed spatial scales (e.g., regu...
Zero-watermarking technology constructs copyright identifiers by extracting stable features from the original data without modifying the data itself, making it highly suitable for lossless copyright protection of high-precision vector geographic data...
To address the shortage of officially designated shelters and the uncertain usability of candidate open spaces in high-density historic urban districts, this study develops a GIS-based framework integrating open-space screening, road network analysis...
Urban expansion in arid environments remains insufficiently understood, particularly where growth occurs with limited competition for agricultural and vegetated land. This study examined long-term Land Use and Land Cover (LULC) change, land transform...
Wildfires are increasingly shaped by climate change, as rising temperatures alter fire regimes. Accurate prediction of wildfire susceptibility under warming scenarios is essential for effective risk management and land-use planning. This study develo...
Rapid urbanization and the replacement of vegetated surfaces by impervious materials can substantially alter urban thermal environments, while water bodies, topography, and coastal setting may further modify these patterns. Understanding how these fa...
Advancing Earth System Sciences (ESS) depends on our ability to integrate highly diverse data from a range of disciplines, including geographical information sciences, palaeontology, marine science, biodiversity research, atmospheric sciences and bio...
Urban waterfronts serve as important recreational spaces for both residents and tourists. However, differences between these groups in recreational behavior and environmental influences remain insufficiently understood. Using mobile phone signaling d...
Learned indexes are presented as a new direction for spatial data access, yet their transfer to native 3D geospatial and point-cloud tasks remains unclear. Building on existing reviews and benchmarks, this review connects index structures with geospa...
Ancient sites are vulnerable cultural heritage assets that are increasingly threatened by climate change, natural erosion, and anthropogenic pressures, posing significant challenges to the stability and integrity of their landscapes. Therefore, the i...
To address the bottlenecks of weak cross-domain generalization, insufficient representation of complex spatial behaviors, and the scarcity of real anomaly labels in the detection of multi-semantic pedestrian trajectory anomalies (e.g., running, loite...
Spatial prediction requires determining how sampled observations support estimates at unsampled locations. Existing methods commonly represent these relationships in geographic space, environmental feature space, or through a global statistical relat...
Markov chains remain the default engine for land-use allocation. This paper argues for integrating territorial memory into the process. That is, an explicit representation of the persistence of land-use states. We subject that proposal to an unfavour...
Flood assessments require reproducible links between spatial products and the measurements ultimately reported to analysts, yet a large language model (LLM) agent may complete a geographic information system (GIS) workflow without generating the requ...
Africa remains the most under-addressed continent on the planet, with an estimated 60–70% of streets and dwellings lacking formal, standardised addresses. This deficit has profound consequences for governance, emergency response, e-commerce, lo...
In high-density cities, limited land availability constrains the expansion of new public sports facilities, increasing the importance of activating existing spatial resources. School sports facilities, which are widely distributed across urban reside...
Commercial and residential spaces constitute two fundamental components of urban spatial structure, and their coupling relationship critically shapes urban functional organization and planning interventions. However, integrated analyses of static fac...
Systematic scenario classification supports the characterization of test conditions in simulation-based autonomous driving validation. This paper proposes a multi-task framework that combines OpenSCENARIO text embeddings with Ego-vehicle motion repre...
Urban vitality varies systematically within the day, yet its time-specific associations with stable built-environment conditions remain insufficiently understood at fine spatial scales. This study examines two-hourly urban vitality in central Zhengzh...
Reconstructing long-term spatiotemporal processes from unstructured historical records presents a fundamental challenge in historical Geographic Information Systems (GIS). Local chronicles contain rich information regarding the timing, location, and...
Accurate mapping of aquaculture ponds is essential for monitoring production systems and supporting the sustainable management of coastal and inland environments. However, aquaculture pond detection from satellite imagery remains challenging because...
Increasing urban extreme rainfall, driven by global climate change and rapid urbanization, highlights the deficiencies of existing studies on urban system responses to flooding. Current functional assessments of floods often neglect spatial variation...
Algorithms for processing large-scale spatial datasets are of significant interest in both scientific research and industrial applications. The efficient implementation of such algorithms is crucial for modern data-intensive systems, and GPU-based pa...
Traffic flow prediction is a core task in intelligent transportation systems, yet existing Transformer-based models suffer from high computational complexity, weak dynamic spatial modeling, and a lack of strict temporal causality constraints. We prop...
Natural-language interfaces make urban spatial databases accessible, but generated structured query language (SQL) can execute successfully while returning a semantically incorrect answer. We evaluate a post-generation correctness-ranking layer on 18...
As regional integration and high-speed transport networks advance, intercity travel flows within mega-city regions (MCRs) provide a lens for understanding regional functional division of labor and spatial organization. Concentrated high-intensity flo...
Urban rail investments can improve accessibility and support compact development, but their effectiveness depends on spatial and infrastructural conditions that are observable before operation. This study proposes an ex ante diagnostic framework for...
Refined urban flood risk assessment requires a paradigm beyond traditional single-scale analyses. Existing approaches often overlook fine-scale functional differentiation and cascading risk connectivity across urban systems. This study proposes an in...
Against the background of urban renewal, urban governance has increasingly pursued the coordinated development of spatial provision and public needs. Taking the central urban area of Shanghai as a case study, this study integrates street-view imagery...
Large-scale monitoring of land rights remains constrained by substantial time requirements, limited spatial coverage, and considerable human resource demands associated with conventional image interpretation and field verification. This study develop...
Aggregated epidemics, characterized by rapid transmission over short periods, pose severe threats to public health security, necessitating the development of precise source tracing and simulation methods to support efficient prevention and control. H...
Urban pluvial flooding is a rapidly evolving disaster that requires timely and fine-grained water-depth information for emergency response and impact assessment. However, street-scale water-depth observations are often difficult to obtain during shor...
Functional complementarity between residential and commercial functions explains inter-zonal shopping flows, yet commerce is typically treated as a single category and the intervening-opportunity pillar of spatial interaction theory is left empirical...
This study examined public library use intensity across seven metropolitan cities in South Korea, considering spatial dependence and the surrounding urban environment. From 485 public libraries, model-specific analytical samples were constructed for...
Built-up expansion is reshaping landscapes across Nepal; however, consistent multi-temporal mapping remains challenging due to rugged terrain, fragmented settlements, and heterogeneous land-cover conditions. This study develops and evaluates a multi-...
Seismic geospatial decision models can produce misleading outputs without rigorous input validation. Fusion conceals the defect: weight-sensitivity testing on an inadmissible layer reports stability rather than validity. This paper presents Evidence-...
Efficient and accurate flood risk assessment is essential for cultural heritage conservation in the context of increasingly frequent extreme weather events. Conventional flood risk assessment methods primarily aim to approximate inundation patterns a...
The rapid growth of high-resolution 3D voxel datasets derived from LiDAR, BIM, and urban digital twin platforms has created new opportunities for volumetric environmental simulation. However, existing fire-spread models are often surface-based or com...
With climate change and urbanization accelerating, cities face increasing disaster risks. As critical facilities for safeguarding residents’ safety, emergency shelters have attracted growing attention due to spatial supply–demand mismatch...
Understanding spatial variation in electric vehicle energy consumption (EC) can support more targeted urban transport analysis, but observational data do not identify the causal effects of urban design. This study analyzes approximately 1700 private...
Within the “15-min community life circle”, spatial accessibility of basic services is critical to ensuring social equity for people with disabilities. However, existing wheelchair accessibility assessments predominantly focus on static &l...
Effective shape representation of building footprints is essential for many geospatial analysis and applications, such as building retrieval, cartographic generalization, and urban morphology analysis. Constrained by scarce and coarse annotations of...
Geographic information systems have traditionally focused on the representation of visual and geometric aspects of geographic phenomena, while auditory information has largely been ignored or reduced to simple numerical attributes. Although numerous...
Veterinary hospitals are increasingly important neighborhood services, but citywide evidence on their strategic allocation remains limited. Existing GIS-based suitability studies identify favorable areas, but do not determine which limited set of pla...
Conventional early-warning methods for geohazards along railways rely largely on single observations, empirical criteria or static analysis, and struggle to meet the demands of corridor-scale screening and dynamic tracking. To address this gap, a rai...
University geospatial hubs support research dissemination, teaching, public data access, and community engagement, but their value depends on whether resources can be found, accessed, interpreted, integrated, and reused. This study evaluates 747 publ...
Recent learning-based damage assessment methods using remote sensing data have greatly contributed to the rapid identification and classification of damaged buildings from pre- and post-disaster imagery. However, most outputs are provided in the form...
Improving the precise perception of disaster risk and evaluating the effectiveness of warning systems are essential for natural-hazard prevention, mitigation, and spatial risk management. Using Sichuan Province, China, as a case study, this study tre...
Electric vehicles (EVs) are attracting choice and adoption as a travel mode in global transportation systems, driven by technological innovation, economic considerations, and advancing sustainable urban development. The planning, development, design,...
Under increasing cropland constraints and pressure to secure oilseed supplies, using winter–fallow cropland for winter rapeseed production can improve annual cropland-use efficiency. Taking the Wanjiang Plain, China, as the study area, this stu...
