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Miguel R. Luaces, Jesús A. Fisteus, Luis Sánchez-Fernández, Mario Munoz-Organero, Jesús Balado, Lucía Díaz-Vilariño and Henrique Lorenzo
Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from...
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Haochen Zou, Keyan Cao and Chong Jiang
Urban road traffic spatio-temporal characters reflect how citizens move and how goods are transported, which is crucial for trip planning, traffic management, and urban design. Video surveillance camera plays an important role in intelligent transport sy...
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Quan Xiong, Xiaodong Zhang, Wei Liu, Sijing Ye, Zhenbo Du, Diyou Liu, Dehai Zhu, Zhe Liu and Xiaochuang Yao
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organiz...
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Yunfan Gao, Yun Xiong, Siqi Wang and Haofen Wang
Thanks to the development of geographic information technology, geospatial representation learning based on POIs (Point-of-Interest) has gained widespread attention in the past few years. POI is an important indicator to reflect urban socioeconomic activ...
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Wenwen Li and Chia-Yu Hsu
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography. Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of GeoA...
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Ian Masser
Pág. 26 - 38
In the last couple of years there have been two very different attempts to evaluate the performance of large scale spatial data infrastructures (SDIs). The first of these was in the United States of America where the Coalition of Geospatial Organizations...
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Dany Laksono and Trias Aditya
Developers have long used game engines for visualizing virtual worlds for players to explore. However, using real-world data in a game engine is always a challenging task, since most game engines have very little support for geospatial data. This paper p...
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Laurens Bogaardt, Romulo Goncalves, Raul Zurita-Milla and Emma Izquierdo-Verdiguier
The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal da...
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Yuke Zhou, Shaohua Wang and Yong Guan
Map overlay analysis is essential for geospatial analytics. Large scale spatial data pressing poses challenges for geospatial map overlay analytics. In this study, we propose an efficient parallel algorithm for polygons overlay analysis, including active...
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Stergios Roumeliotis, Kyriakos Lampropoulos, Ekaterini Delegou, Elisavet Tsilimantou, Vasileios Keramidas, Asterios Bakolas and Antonia Moropoulou
The restoration of historic buildings and structures involves a wide range of scientific and technical fields. The grouting process is among an array of rehabilitation and preservation interventions and aims to homogenize the structure after the implemen...
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Toni Rantanen, Arttu Julin, Juho-Pekka Virtanen, Hannu Hyyppä and Matti T. Vaaja
Increasing interest has recently been shown towards the digital twins of cities. These urban digital twins utilize 3D city models together with other data sources, such as open data, which can be accessed, e.g., through application programming interfaces...
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Mingrui Huang, Xiangtao Fan, Hongdeng Jian, Hongyue Zhang, Liying Guo and Liping Di
The Open Geospatial Consortium (OGC) is an international non-profit standards organization. Established in 1994, OGC aims to make geospatial information and services FAIR-Findable, Accessible, Interoperable, and Reusable. OGC specifications have greatly ...
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Raymond Low, Zeynep Duygu Tekler and Lynette Cheah
Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urban planning. With the availability of different data sources, POI conflati...
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Lilu Zhu, Yang Wang, Yunbo Kong, Yanfeng Hu and Kai Huang
The integration of geospatial-analysis models is crucial for simulating complex geographic processes and phenomena. However, compared to non-geospatial models and traditional geospatial models, geospatial-analysis models face more challenges owing to ext...
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Guiming Zhang and Jin Xu
Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges. The e...
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Fengying Jin, Rui Li, Jianyuan Liang, Xianyuan Zhang, Huaqiao Xing, Zhipeng Gui and Huayi Wu
The service network is capable of addressing large-scale service composition. However, existing service network works still have several limitations. Prior knowledge, such as expert-defined service chains, is not incorporated into the service network. Qo...
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Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria and Borja Bordel Sanchez
The road surface area extraction task is generally carried out via semantic segmentation over remotely-sensed imagery. However, this supervised learning task is often costly as it requires remote sensing images labelled at the pixel level, and the result...
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Thomas Albrecht, Ignacio González-Álvarez and Jens Klump
Landscapes evolve due to climatic conditions, tectonic activity, geological features, biological activity, and sedimentary dynamics. Geological processes at depth ultimately control and are linked to the resulting surface features. Large regions in Austr...
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Yoganand Korgaonkar, David Phillip Guertin, Thomas Meixner and David C Goodrich
Green Infrastructure (GI) practices are being implemented in numerous cities to tackle stormwater management issues and achieve co-benefits such as mitigating heat island effects and air pollution, as well as water augmentation, health, and economic bene...
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Joseph P. Hupy and Cyril O. Wilson
Soil erosion monitoring is a pivotal exercise at macro through micro landscape levels, which directly informs environmental management at diverse spatial and temporal scales. The monitoring of soil erosion can be an arduous task when completed through gr...
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