Contribute Geolocation Data

Abstract. Accurate and complete geographic data of human settlements is crucial for effective emergency response, humanitarian aid and sustainable development. Open- StreetMap (OS…

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, …

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-…

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…

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…

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 …

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…

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 …

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…

Abstract. Microplastics (MP), until now mostly studied in aquatic ecosystems, are also largely polluting terrestrial ecosystems, especially soil systems. Overall, there is a lack …

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…

Abstract. Metadata is key to effective knowledge organization, and designing user interfaces that maximize user performance and user experience during metadata creation would bene…

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…

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…

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…

Abstract. Governance Assessment Frameworks allow the identification of implementation bottlenecks and they can propose answers to the identified challenges. However, no assessment…

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…

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…

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…

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…

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…

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 …

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 …

Abstract. Many geoportals such as ArcGIS Online are established with the goal of improving geospatial data reusability and achieving intelligent knowledge discovery. However, acco…

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…

Abstract. In Earth System Sciences, a data-driven research domain, several communities discuss the importance, guidance and implementation of making research data findable, access…

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…

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…

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 …

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…

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…

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…

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…

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…

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…

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…

Abstract. Recent developments in image recognition technology including artificial intelligence and machine learning led to an intensified research in computer vision models. This…

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…

Abstract. This case study presents a web-based Geospatial eXplainable Artificial Intelligence (GeoXAI) system demonstrated through a case study for wildfire susceptibility assessm…

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…

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…

Abstract. Despite the development of various heuristic and machine learning models, social media user occupation predication remains challenging due to limited high-quality ground…

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…

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…

Abstract. Geographic information is vital for organising humanitarian campaigns and helping those in need. The leading Humanitarian OpenStreetMap Team (HOT) organises projects to …

Abstract. The current division between urban and transport planning is a significant obstacle to achieving sustainable urban development. To transform cities towards sustainabilit…

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…

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…

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 …

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…