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Showing 551 to 600 of 670 works
Towards dynamically generating immersive video scenes for studying human-environment interactions
Abstract. Studies where participants interact with their environment are necessary, for example to investigate pedestrian behaviour, in urban planning or for environmental studies…
Using Machine Learning to drive social learning in a Covid-19 Agent-Based Model
Abstract. Disease transmission and governmental interventions influence the spread of Covid-19. Models can be essential tools to optimise these governmental interventions. This re…
Detection of Wet Riparian Areas using Very High Resolution Multispectral UAS Imagery Based on a Feature-based Machine L…
Abstract. Unmanned Aerial System (UAS) imagery has enabled very high-resolution multispectral image acquisition. Detection of wet areas and classification of land cover based on t…
An evacuation simulation model of pedestrian flow using Bayesian Nash equilibrium and a Multi-Agent System
Abstract. The shortage of experimental data for individual behaviours has hampered systematic research on pedestrian behaviours and the refined development of evidence informed ru…
The Effect of COVID-19 on the Origins of Florida State Park Visitors and Online Reviewers
Abstract. The COVID-19 pandemic has caused substantial socioeconomic disruptions and affected travel behaviour at various geographic scales. Public parks were some of the few recr…
A method to produce metadata describing and assessing the quality of spatial landmark datasets in mountain area
Abstract. The increase of recreational activities in the mountains and a growing amount of websites proposing geographic data, offer new opportunities for societal needs such as m…
Impact of sea level rise on the land cover structure in Southeast Asia
Abstract. Sea-level rise in Southeast Asia is a consequence of climate change that will affect almost all coastal countries in the region. The results of this phenomenon may have …
Use of SafeGraph visitation patterns for the identification of essential services during COVID-19
Abstract. Mobility was severely impacted during the COVID-19 pandemic due to travel restrictions, curfews, and closed locations, such as businesses, schools, administrative office…
Comparison of low-cost techniques for digital cultural heritage preservation of an original Egyptian temple
Abstract. The research covers a method to map archaeological objects (cultural heritage) in 3D in an accurate, detailed way with low-cost equipment. This paper deals with a prelim…
Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake
Abstract. Fast and reliable geographic information is vital in disaster management. In the late 2000s, crowdsourcing emerged as a powerful method to provide this information. Base…
Machine Learning with <i>Kay</i>
Abstract. Computational power is very important when training Deep Learning (DL) models with large amounts of data (Wooldridge, 2021). Hence, High-Performance Computing (HPC) can …
Hey You! Let’s Talk. Dialogue-Initiatives Revisited for Wayfinding Instructions
Abstract. This paper presents Human-Computer Interaction design guidelines for interactive wayfinding assistance systems which provide on-line route instructions. These design sug…
Semi-automated Pipeline to Produce Customizable Tactile Maps of Street Intersections for People with Visual Impairments
Abstract. Street intersections are very challenging for people with visual impairments. Manually produced tactile maps are an important support in teaching and assisting independe…
Geotechnology-based Spatial Learning: The Effects on Spatial Abilities and Sketch Maps in an Inter-Cultural Study
Abstract. GIS have been coined as a support to thinking and learning spatially. In particular spatial learning in real environments can be supported by Geotechnologies as location…
The Impact of Built Environment on Bike Commuting: Utilising Strava Bike Data and Geographically Weighted Models
Abstract. Active travel provides significant public health benefits including improving physical and mental health and air quality. Given the geography of congested roads, availab…
GeoXTag: Relative Spatial Information Extraction and Tagging of Unstructured Text
Abstract. Spatial information has gained more attention in natural language processing tasks in different interdisciplinary domains. Moreover, the spatial information is available…
Building Change Detection of Airborne Laser Scanning and Dense Image Matching Point Clouds using Height and Class Infor…
Abstract. Detecting changes is an important task to update databases and find irregularities in spatial data. Every couple of years, national mapping agencies (NMAs) acquire natio…
Educing knowledge from text: semantic information extraction of spatial concepts and places
Abstract. A growing body of geospatial research has shifted the focus from fully structured to semistructured and unstructured content written in natural language. Natural languag…
Helicopter Landing Sites Identification depending on Slope, Landing Site Dimension and Shape
Abstract. The identification of the Helicopter Landing Sites (HLS) needs complex analysis of the terrain considering a lot of aspects. One of the unconditional aspects in this cas…
Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks
Abstract. Accurate and complete geographic data of human settlements is crucial for effective emergency response, humanitarian aid and sustainable development. Open- StreetMap (OS…
Spatial Dataset Search: Building a dedicated Knowledge Graph
Abstract. A growing number of spatial datasets are published every year. These can usually be found in dedicated web portals with different structures and specificities. However, …
Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks
Abstract. Short-term traffic demand prediction is one of the crucial issues in intelligent transport systems, which has attracted attention from the taxi industry and Mobility-on-…
Corn planting quality assessment in very high-resolution RGB UAV imagery using Yolov5 and Python
Abstract. Uniform plant spacing along crop rows is a primary concern in maximising yield in precision agriculture, and research has shown that variation in this spacing uniformity…
Analysis and mapping of crime perception: A quantitative approach of sketch maps
Abstract. Evidence exists that people’s perception of crime is not often consistent with the actual incidents statistics, and there is a tendency of underestimating or overestimat…
Documentation of cultural heritage monuments with CityGML: an application for ancient theatres
Abstract. The scope of this research is to identify the concepts that describe cultural heritage monuments and model them with CityGML. CityGML is the most popular data model for …
Urban heat island modelling based on MUKLIMO: examples from Slovakia
Abstract. Cities are generally expected to experience higher temperatures than surrounding rural areas due to the Urban Heat Island (UHI) effect. The aim of this paper is to docum…
Developing a city-specific walkability index through a participatory approach
Abstract. The extent to which the built environment encourages people to walk in public spaces, hence the quality of being walkable or ‘walkability’ has long been associated with …
Whom to Follow? A Comparison of Walking Routes Computed Based on Social Media Photos from Different Types of Contributo…
Abstract. Since many tourists share the photos they take on social media channels, large collections of tourist attraction photos are easily accessible online. Recent research has…
Identification of Microplastics in Soils Using 2D Geometric Shape Descriptors
Abstract. Microplastics (MP), until now mostly studied in aquatic ecosystems, are also largely polluting terrestrial ecosystems, especially soil systems. Overall, there is a lack …
COVID-Forecast-Graph: An Open Knowledge Graph for Consolidating COVID-19 Forecasts and Economic Indicators via Place an…
Abstract. The longer the COVID-19 pandemic lasts, the more apparent it becomes that understanding its social drivers may be as important as understanding the virus itself. One suc…
A Comparative Study of Typing and Speech For Map Metadata Creation
Abstract. Metadata is key to effective knowledge organization, and designing user interfaces that maximize user performance and user experience during metadata creation would bene…
An Approach to Assess the Effect of Currentness of Spatial Data on Routing Quality
Abstract. During spatial decision making, the quality of the utilized data is of high importance. During navigation these decisions are crucial for being routed to the desired des…
Spatial Data Lake for Smart Cities: From Design to Implementation
Abstract. In this paper, we propose a methodology for designing data lake dedicated to Spatial Data and an implementation of this specific framework. Inspired from previous propos…
Evaluation of SRGAN Algorithm for Superresolution of Satellite Imagery on Different Sensors
Abstract. In recent years, deep learning has quickly evolved to be the go-to solution for any kind of analysis of non-linear data. One such use has been that of Generative Adversa…
Towards a governance assessment framework for geospatial data: A policy coherence evaluation of the geospatial data pol…
Abstract. Governance Assessment Frameworks allow the identification of implementation bottlenecks and they can propose answers to the identified challenges. However, no assessment…
Geospatial Blockchain: review of decentralized geospatial data sharing systems
Abstract. Blockchain technologies are driving the internet infrastructures into a transformation from Web 2.0 to Web 3.0. This remodels the internet foundations from a centralized…
Modeling the Effect of Congestion Charge and Parking Pricing on Urban Traffic: Example of Jerusalem
Abstract. Transportation Network Companies (TNC), like Uber, Lyft, and VIA, started their activities a decade ago with a far-reaching hope that Mobility-On-Demand (MOD) transporta…
Experimental evaluation of using BLE beacon for outdoor positioning in GPS-denied environment
Abstract. Although Global Positioning System (GPS) is widely used in outdoor location-based services, it still lacks precision due to obstacles that reduce its performance, such a…
Comparing supervised learning algorithms for Spatial Nominal Entity recognition
Abstract. Discourse may contain both named and nominal entities. Most common nouns or nominal mentions in natural language do not have a single, simple meaning but rather a number…
Tracking Hurricane Dorian in GDELT and Twitter
Abstract. GDELT is a machine coded database of events that uses both foreign and domestic news feeds and contains over a quarter of a billion worldwide event records categorized i…
Unlocking social network analysis methods for studying human mobility
Abstract. Planning and operations in urban spaces are strongly affected by human mobility behavior. A better understanding of individual mobility is key to improve transportation …
Usability Problems in GI Web Applications: A lesson from Literature
Abstract. Organizations and individuals are becoming more aware of the benefits of geoinformation (GI) in supporting decision making. That being the case, there is a growing need …
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online
Abstract. Many geoportals such as ArcGIS Online are established with the goal of improving geospatial data reusability and achieving intelligent knowledge discovery. However, acco…
The new role of cartography in modern tourism
Abstract. Cartography and maps have historically been valuable tools for tourism and travellers. In the pre-COVID era, tourism had been rapidly growing worldwide. supported by all…
A Geo-Dashboard Concept for the Interactively Linked Visualization of Provenance and Data Quality for Geospatial Datase…
Abstract. In Earth System Sciences, a data-driven research domain, several communities discuss the importance, guidance and implementation of making research data findable, access…
Why Maps are More Favored Visuals in Climate Change Newsfeeds on Social Media? Exploring the Influence of User Characte…
Abstract. Social media is a key platform for climate change communication. However, it remains a challenge to attract audiences effectively. This study examines user preferences f…
Comparison of interpolation methods in the production of rainfall-induced soil erosion maps in the urban area of Torres…
Abstract. The evaluation of rainfall-induced soil erosion risk is fundamental for territorial planning and takes into account parameters such as rainfall erosivity, soil erodibili…
Beyond Walking and Biking: Expanding the 15-Minute City Area through Public Transport
Abstract. The concept of the "15-minute city" has recently attracted notable attention and is being widely discussed in urban planning and policymaking. The original idea focuses …
Investigating Moran’s I Properties for Spatial Machine Learning: A Preliminary Analysis
Abstract. This study explores the application of Moran’s I, a measure of spatial autocorrelation, in evaluating spatial machine learning models, specifically focusing on random fo…
Explore maps as you read a comic book
Abstract. While maps have been evolving towards more interactivity and pan-scalar display, their design did not change this much, lacking progressiveness between the numerous maps…
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