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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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Angéla Olasz,Binh Nguyen Thai,Dániel Kristóf
Pág. 85 - 111
Geospatial technology is still facing a lack of ?out of the box? distributed processing solutions which are suitable for the amount and heterogeneity of geodata, and particularly for use cases requiring a rapid response. Moreover, most of the current dis...
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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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Imene Bareche and Ying Xia
The magnitude of highly dynamic spatial data is expanding rapidly due to the instantaneous evolution of mobile technology, resulting in challenges for continuous queries. We propose a novel indexing approach model, namely, the Velocity SpatioTemporal ind...
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Kaihua Hou, Chengqi Cheng, Bo Chen, Chi Zhang, Liesong He, Li Meng and Shuang Li
As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral...
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Candan Eylül Kilsedar and Maria Antonia Brovelli
The focus of this research is addressing a subset of the geovisualization (i.e., geographic visualization) challenges identified in the literature, namely multidimensional vector and raster geospatial data visualization. Moreover, the work implements an ...
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Alexander Koshlan,Olha Salnikova,Mariia Chekhovska,Ruslan Zhyvotovskyi,Yevgen Prokopenko,Taras Hurskyi,Alexander Yefymenko,Yevhen Kalashnikov,Sergii Petruk,Andrii Shyshatskyi
Pág. 35 - 45
The algorithm of complex processing of geospatial data in special-purpose geoinformation systems in the conditions of diversity and uncertainty of data is developed. The novelty of the algorithm is to ensure the functioning of the geoinformation system i...
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Junghee Jo and Kang-Woo Lee
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Tomá? Rezník, Vojtech Lukas, Karel Charvát, Karel Charvát, Zbynek Krivánek, Michal Kepka, Luká? Herman and Helena Rezníková
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Dongming Guo and Erling Onstein
Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and mos...
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Przemyslaw Tymków, Grzegorz Józków, Agata Walicka, Mateusz Karpina and Andrzej Borkowski
The paper presents an efficient methodology of water body extent estimation based on remotely sensed data collected with UAV (Unmanned Aerial Vehicle). The methodology includes the data collection with selected sensors and processing of remotely sensed d...
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Debajyoti Ghosh, Jagan Sankaranarayanan, Kiran Khatter and Hanan Samet
Many spatial applications benefit from the fast answering to a seemingly simple spatial query: ?Is a point of interest (POI) ?in-path? to the shortest path between a source and a destination?? In this context, an in-path POI is one that is either on the ...
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Guiming Zhang
Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observatio...
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Dominik Warch, Patrick Stellbauer and Pascal Neis
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho...
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Sujit Bebortta, Saneev Kumar Das, Meenakshi Kandpal, Rabindra Kumar Barik and Harishchandra Dubey
Several real-world applications involve the aggregation of physical features corresponding to different geographic and topographic phenomena. This information plays a crucial role in analyzing and predicting several events. The application areas, which o...
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Ziheng Sun, Liping Di, Annie Burgess, Jason A. Tullis and Andrew B. Magill
AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention. Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate formats; and require sophisticated AI workflows that include not only...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of geodata with high spatial and temporal resolution is increasing steadily. Often, these data are continuously generated by distributed sensor networks and provided as geodata streams. Geostatistical analysis methods, such as spatiotemp...
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Cédric Mpié Simba, Emmanuel Lemelin, Eric Masson, Ahmed Senouci and Walid Maherzi
In the absence of industry data, organisms, and researchers leverage free and available data, specifically building and demolition permits. Geospatial processing is essential to integrate information from various files into a single GIS layer containing ...
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Polina Lemenkova and Olivier Debeir
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to ap...
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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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