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Artur Krawczyk
The article attempts to redefine the names for the research area, which is the use of information systems for the analysis and management of spatial data. To resolve the nomenclature issues, the studies were conducted into the structure evolution of spat...
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Shuang Li
Historical geographic data play an important supporting role in the study of long-term geographic studies, such as climate change, urban expansion and land-use and land-cover change. These data vary in source, format and accuracy and are widely found in ...
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Zheren Liu, Chaogui Kang and Xiaoyue Xing
Similar time series search is one of the most important time series mining tasks in our daily life. As recent advances in sensor technologies accumulate abundant multi-dimensional time series data associated with multivariate quantities, it becomes a pri...
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Lu Tao, Yousuke Watanabe and Hiroaki Takada
Long-term vehicular motion prediction is a crucial function for both autonomous driving and advanced driver-assistant systems. However, due to the uncertainties of vehicle dynamics and complexities of surroundings, long-term motion prediction is never tr...
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Bomi Lee, Aetti Kang and Sungil Ham
The damage caused by disasters is increasing worldwide, with hundreds of thousands of deaths due to the occurrence of complex large-scale disasters such as the 2010 Haiti earthquake and the 2004 Indian tsunami. South Korea has also experienced human casu...
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Xiangqiang Min, Dieter Pfoser, Andreas Züfle and Yehua Sheng
The range query is one of the most important query types in spatial data processing. Geographic information systems use it to find spatial objects within a user-specified range, and it supports data mining tasks, such as density-based clustering. In many...
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Tomá? Pohanka and Vilém Pechanec
This paper is focused on comparing database replication over spatial data in PostgreSQL and MySQL. Database replication means solving various problems with overloading a single database server with writing and reading queries. There are many replication ...
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Colin Fischer, Monika Sester and Steffen Schön
In this paper, we present an implementation of a research data management system that features structured data storage for spatio-temporal experimental data (environmental perception and navigation in the framework of autonomous driving), including metad...
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Xuefeng Guan, Chong Xie, Linxu Han, Yumei Zeng, Dannan Shen and Weiran Xing
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Research...
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Anna Giovanella, Patrick Erik Bradley and Sven Wursthorn
Boundary representation models are data models that represent the topology of a building or city model. This leads to an issue in combination with geometry, as the geometric model necessarily has an underlying topology. In order to allow topological quer...
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Karel Janecka
The geodetic point fields play a crucial role in measuring a terrain, in surveying, and mapping applications. Due to the rapid development in the domain of information technologies, it makes sense to consider using the database and web technologies to ma...
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Aristoteles Tegos, Nikolaos Malamos, Andreas Efstratiadis, Ioannis Tsoukalas, Alexandros Karanasios and Demetris Koutsoyiannis
We present and validate a global parametric model of potential evapotranspiration (PET) with two parameters that are estimated through calibration, using as explanatory variables temperature and extraterrestrial radiation. The model is tested over the gl...
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Aristoteles Tegos, Nikolaos Malamos, Andreas Efstratiadis, Ioannis Tsoukalas, Alexandros Karanasios, Demetris Koutsoyiannis
Pág. 1 - 22
We present and validate a global parametric model of potential evapotranspiration (PET) with two parameters that are estimated through calibration, using as explanatory variables temperature and extraterrestrial radiation. The model is tested over the gl...
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Marc Ciufo Green and Damian Murphy
The classification of acoustic scenes and events is an emerging area of research in the field of machine listening. Most of the research conducted so far uses spectral features extracted from monaural or stereophonic audio rather than spatial features ex...
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Nagendra Singh, Mark Tuttle and Budhendra Bhaduri
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Nagendra Singh, Mark Tuttle and Budhendra Bhaduri
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Prabal Pratap Singh and Deepu Philip
Terrorism perpetrated in any country by either internal or external actors jeopardizes the country?s security, economic growth, societal peace, and harmony. Hence, accurate modelling of terrorism has become a necessary component of the national security ...
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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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Yongyao Jiang and Chaowei Yang
With recent advancements, large language models (LLMs) such as ChatGPT and Bard have shown the potential to disrupt many industries, from customer service to healthcare. Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 1...
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Alejandro Vaisman and Esteban Zimányi
The interest in mobility data analysis has grown dramatically with the wide availability of devices that track the position of moving objects. Mobility analysis can be applied, for example, to analyze traffic flows. To support mobility analysis, trajecto...
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