Spatial data science: from aerial data to discrete spatio-temporal event analysis
L'abstract è presente nell'allegato / the abstract is in the attachment
Building Digital Twin Data Model Based on Public Data
This study aims to propose a method for constructing basic digital twin data in South Korea by adhering to international standards and by utilizing publicly available data. Specifically, the study focuses on designing and proposing a digital twin data model for buildings, as building-related digital twin data are the most applicable among the basic...
RDSC: Range-Based Device Spatial Clustering for IoT Networks
The growth of the Internet of Things (IoT) has become a crucial area of modern research. While the increasing number of IoT devices has driven significant advancements, it has also introduced several challenges, such as data storage, data privacy, communication protocols, complex network topologies, and IoT device management. In essence, the manage...
Monitoring and Tracking the Long-Term Stability of the Subsidence Cone at Salina Ocna Dej
Published in Mining Revue
The analysis of the subsidence cone at Salina Ocna Dej involved modern measurement techniques, including drones, to evaluate terrain changes and generate a detailed 3D model. Data collection occurred in two stages, in 2021 and 2022, utilizing drones to capture a large number of high-resolution images (5472x3648 pixels) [1], resulting in a significa...
Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models
Spatial auto-regressive (SAR) models are widely used in geosciences for data analysis; their main feature is the presence of weight (W) matrices, which define the neighboring relationships between the spatial units. The statistical properties of parameter and forecast estimates strongly depend on the structure of such matrices. The least squares (L...
Prendre en compte les dimensions temporelles de l’information géographique environnementale dans l’action publique terri...
La multiplication des indicateurs quantitatifs dans les politiques publiques liées à l’environnement engendre le recours croissant aux systèmes d’information géographique et aux données environnementales géoréférencées. L’enjeu est de traduire spatialement les changements globaux pour la planification et le suivi des dynamiques naturelles et anthro...
A Spatial Gaussian-Process Boosting Analysis of Socioeconomic Disparities in Wait-Listing of End-Stage Kidney Disease Pa...
In this study, we employed a novel approach of combining Gaussian processes (GPs) with boosting techniques to model the spatial variability inherent in End-Stage Kidney Disease (ESKD) data. Our use of the Gaussian processes boosting, or GPBoost, methodology underscores the efficacy of this hybrid method in capturing intricate spatial dynamics and e...
Izboljšave geografskega informacijskega sistema v elektrodistribucijskem podjetju
Avtomatsko ocenjevanje kakovosti prostorskih podatkov
Iskanje najkrajših poti med točkami telekomunikacijskega omrežja
