Titlebook: Web and Wireless Geographical Information Systems; 18th International S Sergio Di Martino,Zhixiang Fang,Ki-Joune Li Conference proceedings

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A Social-Spatial Data Approach for Analyzing the Migrant Caravan Phenomenonent analysis and spatiotemporal data exploration. The study reveals significant ethnic polarization and ideological patterns but noticeable regional differences in rural and urban areas. The experimental study shows that our approach provides a valuable experimental framework to study emerging regional phenomena as they appear from social media.

Inveterate

Pander

Magnitude

CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Riskies have focused on the heat-related analysis or on developing general routing applications for pedestrians, few have aimed at providing routing services for pedestrians specifically to reduce their heatstroke risk. In this research, we propose a novel routing system that can recommend pedestrian ro

Biomarker

What Do We Actually Need During Self-localization in an Augmented Environment? makes people understanding their location more intuitively. The signals that can be used for self-localization include landmarks, road names, direction guidance, etc., but these elements cannot all be added on a limited size screen. This paper using eye tracking technology to conduct an experiment,

新星

Predicting Indoor Location based on a Hybrid Markov-LSTM Model a novel hybrid Markov-LSTM model to predict the indoor user’s next location, which adopt the multi-order Markov chains (k-MCs) to model the long indoor location sequences and use LSTM to reduce dimension through combining multiple first-order MCs. Finally, we conduct comprehensive experiments on th

摘要

Massive Spatio-Temporal Mobility Data: An Empirical Experience on Data Management Techniquesphones, GPS handhelds, etc.), has led to a significant increase in the availability of datasets representing mobility phenomena, with high spatial and temporal resolution. Especially in the urban scenario, these datasets can enable the development of “Smart Cities”. Nevertheless, these massive amoun

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The Integration of OGC SensorThings API and OGC CityGML via Semantic Web Technologyions. While 3D city models, Internet of Things (IoT), and domain models are essential components of smart cities, the integration of IoT resources and 3D city models is a central information backbone for smart city cyber-infrastructures. However, we argue that most of the existing solutions integrat

使习惯于

Location Optimization of Urban Emergency Medical Service Stations: A Hierarchical Multi-objective Moreceiving special attention. This paper presents a novel hierarchical multi-objective optimization model that considers the goal of providing effectiveness equal service for all citizens firstly, reducing the total travel cost of emergency medical service missions and the number of overall stations