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Showing 601 to 650 of 670 works
Vector data cubes for features evolving in space and time
Abstract. The amount of geospatial data generated, in particular from segmentation techniques applied to Earth observation (EO) data, is rapidly increasing. This, in combination w…
EyeCatchingMaps, a Dataset to Assess Saliency Models on Maps
Abstract. Saliency models try to predict the gaze behaviour of people in the first seconds of their observation of an image. To assess how much these models can perform to predict…
Spatio-temporal Spread of Disruptions in Interconnected Supply Networks
Abstract. The article investigates the spatio-temporal propagation of disruption effects in supply networks using shipment data from an international retailer during the year of 2…
Semantic complexity of geographic questions - A comparison in terms of conceptual transformations of answers
Abstract. There is an increasing trend of applying AIbased automated methods to geoscience problems. An important example is a geographic question answering (geoQA) focused on ans…
The use of high-resolution photogrammetry for the survey and analysis of rock-climbing walls
Abstract. In climbing, the routes that lead through a wall are mainly represented in two-dimensional maps. These climbing maps, also called "topos," help climbers and alpinists to…
Benchmarking Invasive Alien Species Image Recognition Models for a Citizen Science Based Spatial Distribution Monitoring
Abstract. Recent developments in image recognition technology including artificial intelligence and machine learning led to an intensified research in computer vision models. This…
Mobility Vitality in Active and Micro-Mobility Modes: Measuring Urban Vitality Through Spatiotemporal Similarity
Abstract. Urban vitality captures the dynamic and interactive nature of city environments by highlighting how residents engage with public spaces, making it essential for differen…
Interactive web-based Geospatial eXplainable Artificial Intelligence for AI model output exploration
Abstract. This case study presents a web-based Geospatial eXplainable Artificial Intelligence (GeoXAI) system demonstrated through a case study for wildfire susceptibility assessm…
A data-driven approach for estimating travel-related carbon emissions with high spatial and temporal granularity
Abstract. The transport sector is the second-largest contributor to greenhouse gas emissions in the EU, with a high reliance on fossil fuels and increasing demand for transportati…
Simulation model of pedestrian flow based on multi-agent system and Bayesian Nash equilibrium
Abstract. Computer-based simulation is a means of exploring complex systems and has become the mainstream method of pedestrian research. In this research, a multi-agent simulation…
Occupation Prediction with Multimodal Learning from Tweet Messages and Google Street View Images
Abstract. Despite the development of various heuristic and machine learning models, social media user occupation predication remains challenging due to limited high-quality ground…
Analysis of cycling network evolution in OpenStreetMap through a data quality prism
Abstract. Cycling practice has been constantly increasing for several years and the COVID crisis has just accelerated the process. Indeed, more and more municipalities have develo…
When is a Ring Road a ’Ring Road’? A Brief Perceptual Study
Abstract. The shapes and patterns of the road network of a topographic map provide important visual cues when interpreting the map and moving between scales in interactive environ…
Process Analysis in Humanitarian Voluntary Geographic Information: the case of the HOT Tasking Manager
Abstract. Geographic information is vital for organising humanitarian campaigns and helping those in need. The leading Humanitarian OpenStreetMap Team (HOT) organises projects to …
Simplified geodata models for integrated urban and public transport planning
Abstract. The current division between urban and transport planning is a significant obstacle to achieving sustainable urban development. To transform cities towards sustainabilit…
Where do people look at during multi-scale map tasks?
Abstract. In order to design better pan-scalar maps, i.e. interactive, zoomable, multi-scale maps, we need to understand how they are perceived, understood, processed, manipulated…
Spatial Disaggregation of Population Subgroups Leveraging Self-Trained Multi-Output Gradient Boosting Regression Trees
Abstract. Accurate and consistent estimations on the present and future population distribution, at fine spatial resolution, are fundamental to support a variety of activities. Ho…
Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis
Abstract. Due to the increased availability of geospatial data, web-based geographic information systems (WebGIS) have become more popular in recent years. However, the usability …
Artificial intelligence for greater transparency in housing price estimation
Abstract. This paper investigates the use of machine learning (ML) models to predict housing prices. A well-performing housing price model was trained, which can seamlessly be int…
Exploring the potential to use in-between pixel variability for early detection of bark beetle attacked trees
Abstract. The European spruce bark beetle (Ips typographus L.) is a major disturbance agent in Norway spruce (Picea abies (L.) Karst) forests in Europe and it is estimated that a …
A Web-Application for Measuring Spatial Accessibility in Health Planning
Abstract. The planning of health care facilities and the analysis of the medical care situation are complex topics that generally involve geographical and, specifically, settlemen…
Detecting Road Damages in Mobile Mapping Point Clouds using Competitive Reconstruction Networks
Abstract. LiDAR scanning technology is an established method for capturing landscapes, buildings, or roads in order to create a so-called spatial digital twin of the reality, stor…
Spatially Varying Coefficient Regression with GAM Gaussian Process splines: GAM(e)-on
Abstract. This paper describes initial work exploring GAM Gaussian Process (GP) splines parameterised by observation location, as a geographical varying coefficient model. Similar…
Machine Learning with UAS LiDAR for Winter Wheat Biomass Estimations
Abstract. Biomass is an important indicator in the ecological and management process that can now be estimated at higher temporal and spatial resolutions because of unmanned aircr…
Exploratory Analysis and Feature Selection for the Prediction of Nitrogen Dioxide
Abstract. Nitrogen dioxide is one of the most hazardous pollutants identified by the World Health Organisation. Predicting and reducing pollutants is becoming a very urgent task a…
Handling the MAUP: methods for identifying appropriate scales of aggregation based on measures on spatial and non-spati…
Abstract. The Modifiable Areal Unit Problem or MAUP is frequently alluded to but rarely addressed directly. The MAUP posits that statistical distributions, relationships and trend…
A collaborative approach for the identification of thermal hot-spots: from remote sensing data to urban planning interv…
Abstract. This paper presents a novel methodology for enhancing urban planning in Frankfurt, Germany, through the identification of thermal hot-spots, i.e., areas of persistent hi…
Malaria in Kenya during 2020: malaria indicator survey and suitability mapping for understanding spatial variations in …
Abstract. Despite the availability of effective interventions malaria continues to be a major public health issue in Kenya, where young children and pregnant women are particularl…
Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality
Abstract. The recent influx of remote and proximal sensing data provides new opportunities to understand environmental processes. A potential application of these datasets is to f…
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach
Abstract. Given aggregated mobile device data, the goal is to understand the impact of COVID-19 policy interventions on mobility. This problem is vital due to important societal u…
Sensitivity analysis in multi-criteria evaluation of the suitability of urban green spaces for recreational activities
Abstract. Urban green spaces can have potential positive impacts on climate, biodiversity, health, and generally on the quality of life for urban residents and are of great import…
Is it safe to be attractive? Disentangling the influence of streetscape features on the perceived safety and attractive…
Abstract. City streets that feel safe and attractive motivate active travel behaviour and promote people’s well-being. However, determining what makes a street safe and attractive…
Land use influence on ambient PM2.5 and ammonia concentrations: Correlation analyses in the Lombardy region, Italy
Abstract. Air pollution is identified as the primary environmental risk to health worldwide. Although most of the anthropic emissions are due to combustion processes, intensive fa…
Comparison of CNN-based segmentation models for forest type classification
Abstract. We present the results from evaluating various Convolutional Neural Network (CNN) models to compare their usefulness for forest type classification. Machine Learning bas…
Spatially Explicit Population Projections: The case of Copenhagen, Denmark
Abstract. Cities expand rapidly with international migration significantly contributing to urban growth and urban population change. However, cities miss out on a great opportunit…
Optimizing Electric Vehicle Charging Schedules Based on Probabilistic Forecast of Individual Mobility
Abstract. The number of electric vehicles (EVs) has been rapidly increasing over the last decade, motivated by the effort to decrease greenhouse gas emissions and the fast develop…
Modelling eye-level visibility of urban green space: Optimising city-wide point-based viewshed computations through pro…
Abstract. Studies from public and environmental health show strong indication of the importance of visible urban green space. However, current approaches for modelling viewshed ba…
A Research Data Infrastructure Component for the Automated Metadata and Data Quality Extraction to Foster the Provision…
Abstract. Metadata management is core to support discovery and reuse of data products, and to allow for reproducibility of the research data in Earth System Sciences (ESS). Thus, …
Six GIScience Ideas That Must Die
Abstract. In 2015, John Brockman edited a volume of chapters contributed by leading thinkers from various domains discussing common scientific ideas hindering further scientific p…
Exploring Factors that Influence Individuals’ Choice Between Internal Combustion Engine Cars and Electric Vehicles
Abstract. The adoption of electric vehicles has the potential to help decarbonizing the transport sector if they are powered by renewable energy sources. Limitations commonly asso…
Towards geospatial blockchain: A review of research on blockchain technology applied to geospatial data
Abstract. In recent years, geospatial big data has been generated at a very high speed, and the data volume is becoming increasingly massive. In order to realize the full potentia…
Applied open-source Discrete Global Grid Systems
Abstract. Discrete Global Grid Systems (DGGS) are spatial reference systems that use a hierarchical tessellation of cells to partition and address the globe and provide alternativ…
Exploring the correlations between spatiotemporal daily activity-travel patterns and stated interest and perception of …
Abstract. The key to Autonomous Vehicles (AVs) successful penetration of markets lies in identifying specific needs that AVs satisfy for daily activity-travel participation of ind…
Representing Vector Geographic Information As a Tensor for Deep Learning Based Map Generalisation
Abstract. Recently, many researchers tried to generate (generalised) maps using deep learning, and most of the proposed methods deal with deep neural network architecture choices.…
Extracting interrogative intents and concepts from geo-analytic questions
Abstract. Understanding syntactic and semantic structure of geographic questions is a necessary step towards true geographic question-answering (GeoQA) machines. The empirical bas…
Impact of transit catchment size on the integration of shared e-scooters in the public transport system
Abstract. E-scooter sharing has been commonly used to integrate public transport systems in many cities worldwide. Accurately modeling integration between shared e-scooters and pu…
Assemble geo-analytical questions through a Blockly-based natural language interface
Abstract. Natural language Interfaces (NLIs) have the ability to make Geographic Information Systems more accessible for interdisciplinary researchers or any inexperienced users. …
A taxonomy for classifying user groups in location-based social media
Abstract. Location-based social media provide great opportunities to monitor and map social, natural or health-related events. Due to the vast amount of data, it is appropriate fo…
Impact of On-Street Parking Space Placement on Through Traffic
Abstract. On-street parking significantly impacts urban traffic flow. Existing research has primarily focused on pricing policies as a method to mitigate the congestion caused by …
3D Gaussian Splatting for Modern Architectural Heritage: Integrating UAV-Based Data Acquisition and Advanced Photoreali…
Abstract. 3D Gaussian Splatting (3DGS) is an advanced 3D representation method that enhances point clouds by incorporating spectral image content, enabling high-fidelity heritage …
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