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Yun Zhang, Zhi Tang, Jing Huang, Yue Ding, Hao He, Xiaosheng Xia and Chunhua Li
The copyright of data is a key point that needs to be solved in spatial data infrastructure for data sharing. In this paper, we propose a decentralized digital rights management model of spatial data, which can provide a novel way of solving the existing...
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Rodrigo Smarzaro, Clodoveu A. Davis, Jr. and José Alberto Quintanilha
One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that, usua...
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Mohsen Kalantari, Syahrudin Syahrudin, Abbas Rajabifard and Hannah Hubbard
Spatial metadata profiles have been designed and evolved by data custodians to manage, share, discover, and use spatial data. The end-users of spatial data often do not have much input in designing the profiles. The spatial data infrastructure literature...
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Morteza Omidipoor, Ara Toomanian, Najmeh Neysani Samany and Ali Mansourian
The size, volume, variety, and velocity of geospatial data collected by geo-sensors, people, and organizations are increasing rapidly. Spatial Data Infrastructures (SDIs) are ongoing to facilitate the sharing of stored data in a distributed and homogeneo...
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Qasim Hamakhurshid Hamamurad, Normal Mat Jusoh and Uznir Ujang
This paper examines the phenomena of the local government?s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia?s...
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Line Hvingel,Lasse Baaner,Lise Schrøder
Pág. 131 - 149
The relation of spatial data and e-Government is important, but not always acknowledged in the development and implementation of e-Government. The implementation of the INSPIRE directive pushed this agenda towards a growing awareness of the role of spati...
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Carsten Juergens
Data literacy is an essential skill for today?s digital way of life, to be able to judge the reliability of different data presented, for instance in news and media or in business processes. Geo-Spatial data are a specific kind of data and influence most...
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Linda Petutschnig, Thomas Clemen, E. Sophia Klaußner, Ulfia Clemen and Stefan Lang
International policy and humanitarian guidance emphasize the need for precise, subnational malaria risk assessments with cross-regional comparability. Spatially explicit indicator-based assessments can support humanitarian aid organizations in identifyin...
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Md. Mostafizur Rahman and György Szabó
National spatial data infrastructure (NSDI) is an essential framework for managing and sharing geospatial data across different sectors and organizations. In Bangladesh, the development of NSDI is still in its early stages, and there are several challeng...
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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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Ying Sun, Yuefeng Lu, Ziqi Ding, Qiao Wen, Jing Li, Yanru Liu and Kaizhong Yao
Most commonly used road-based homonymous entity matching algorithms are only applicable to the same scale, and are weak in recognizing the one-to-many and many-to-many types that are common in matching at different scales. This paper explores model match...
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Rafael Sierra Requena, José Carlos Martínez-Llario, Edgar Lorenzo-Sáez and Eloína Coll-Aliaga
The spatial and semantic data of geographic addresses are extremely important for citizens, governments, and companies. The addresses can georeference environmental, economic, security, health, and demographic parameters in urban areas. Additionally, add...
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John Byabazaire, Gregory M. P. O?Hare, Rem Collier, Chamil Kulatunga and Declan Delaney
Smart agriculture relies on accurate yield maps as a crucial tool for decision-making. Many yield maps, however, suffer from spatial errors that can compromise the quality of their data, while several approaches have been proposed to address some of thes...
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Michael Wagner and Christin Henzen
In Earth System Sciences (ESS), spatial data are increasingly used for impact research and decision-making. To support the stakeholders? decision, the quality of the spatial data and its assurance play a major role. We present concepts and a workflow to ...
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Sercan Gülci, Hafiz Hulusi Acar, Abdullah E. Akay and Nese Gülci
Road curve attributes can be determined by using Geographic Information System (GIS) to be used in road vehicle traffic safety and planning studies. This study involves analyzing the GIS-based estimation accuracy in the length, radius and the number of s...
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Ba-Huy Tran, Nathalie Aussenac-Gilles, Catherine Comparot and Cassia Trojahn
Semantic technologies have proven their relevance in facilitating the interpretation of Earth Observation (EO) data through formats such as RDF and reusable models, especially for the representation of space and time. While rasters are the usual data for...
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Zhaolian Xing and Weimin Guo
With large-scale urban demolition, the spatial pattern of the urban area in many cities has been destroyed, leading to the loss of urban regional identity; therefore, these urban spaces need to be urgently studied and protected. Previous studies on the s...
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Driss En-Nejjary, François Pinet and Myoung-Ah Kang
The size of spatial data is growing intensively due to the emergence of and the tremendous advances in technology such as sensors and the internet of things. Supporting high-performance queries on this large volume of data becomes essential in several da...
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Yi-Jou Lee, Nan-Jay Su, Hung-Tai Lee, William Wei-Yuan Hsu and Cheng-Hsin Liao
Mixed fisheries refer to fishing activities that catch more than one species simultaneously, and a species may be fished using different gear. A trawl fishery shares these features to exploit multiple species simultaneously, with diverse fishing gear and...
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Monika Kuffer, Jon Wang, Dana R. Thomson, Stefanos Georganos, Angela Abascal, Maxwell Owusu and Sabine Vanhuysse
Routine and accurate data on deprivation are needed for urban planning and decision support at various scales (i.e., from community to international). However, analyzing information requirements of diverse users on urban deprivation, we found that data a...
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