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Visualizing perceived spatial data quality of 3D objects within virtual globes

International Journal of Digital Earth 2014年第10期7卷 771-788页

作者： Krista Jones Rodolphe Devillers Yvan Bedard Olaf Schroth Department of Geography Memorial University of NewfoundlandSt.John’sCanada Departement des sciences geomatiques Universite LavalQuebecCanada Department of Landscape The University of SheffieldSheffieldUK

Virtual globes(VGs)allow Internet users to view geographic data of heterogeneous quality created by other *** article presents a new approach for collecting and visualizing information about the perceived quality of 3D data in *** aims atimproving users’awareness of the qualityof 3D *** of relying onthe existing metadata or on formal accuracy assessments that are often impossible in practice,we propose a crowd-sourced quality recommender system based on the five-star visualization method successful in other types of Web *** alternative five-star visualizations were implemented in a Google Earth-based prototype and tested through a formal user *** tests helped identifying the most effective method for a 3D *** indicate that while most websites use a visualization approach that shows a‘number of stars’,this method was the least preferred by ***,participants ranked the‘number within a star’method highest as it allowed reducing the visual clutter in urban settings,suggesting that 3D environments such as VGs require different *** that expert and non-expert users in geographic data share similar preferences for the most and least preferred visualization methods.

关键词： virtual globes spatial data quality uncertainty quality recommender system five-star 3D objects

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spatial data trusts:an emerging governance framework for sharing spatial data

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International Journal of Digital Earth 2023年第1期16卷 1607-1639页

作者： Nenad Radosevic Matt Duckham Mohammad Saiedur Rahaman Serene Ho Katherine Williams Tanzima Hashem Yaguang Tao School of Science RMIT UniversityMelbourneAustralia School of Computing Technologies RMIT UniversityMelbourneAustralia Frontier SI MelbourneAustralia Department of Computer Science and Engineering Bangladesh University of Engineering and TechnologyDhakaBangladesh

data Trusts are an important emerging approach to enabling the much wider sharing of data from many different sources and for many different purposes,backed by the confidence of clear and unambiguous data *** Trusts combine the technical infrastructure for sharing data with the governance framework of a legal *** concept of a data Trust applied specifically to spatial data offers significant opportunities for new and future applications,addressing some longstanding barriers to data sharing,such as location privacy and data *** paper introduces and explores the concept of a‘spatial data Trust’by identifying and explaining the key functions and characteristics required to underpin a data Trust for spatial *** work identifiesfive key features of spatial data Trusts that demand specific attention and connects these features to a history of relevant work in thefield,including spatial data infrastructures(SDIs),location privacy,and spatial data *** conclusions identify several key strands of research for the future development of this rapidly emerging framework for spatial data sharing.

关键词： data governance spatial information location privacy indigenous data sovereignty spatial data quality

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quality assessment of OpenStreetMap data using trajectory mining

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Geo-spatial Information Science 2016年第1期19卷 56-68页

作者： Anahid Basiri Mike Jackson Pouria Amirian Amir Pourabdollah Monika Sester Adam Winstanley Terry Moore Lijuan Zhang The Nottingham Geospatial Institute The University of NottinghamNottinghamUK Ordnance Survey SouthamptonUK The School of Computer Science The University of NottinghamNottinghamUK Institute of Cartography and Geoinformatics(IKG) Leibniz UniversitätHannoverGermany e Department of Computer Science Maynooth UniversityMaynoothIreland Faculty of Civil and Environmental Engineering The Technion-Israel Institute of TechnologyHaifaIsrael

OpenStreetMap(OSM)data are widely used but their reliability is still *** contributors to OSM have not been trained in geography or surveying and consequently their contributions,including geometry and attribute data inserts,deletions,and updates,can be inaccurate,incomplete,inconsistent,or *** are some mechanisms and applications dedicated to discovering bugs and errors in OSM *** systems can remove errors through user-checks and applying predefined rules but they need an extra control process to check the real-world validity of suspected errors and *** paper focuses on finding bugs and errors based on patterns and rules extracted from the tracking data of *** underlying idea is that certain characteristics of user trajectories are directly linked to the type of *** such rules,some sets of potential bugs and errors can be identified and stored for further investigations.

关键词： spatial data quality OpenStreetMap(OSM) trajectory data mining

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Modeling data quality for risk assessment of GIS

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Journal of Southeast University(English Edition) 2008年第S1期24卷 37-42页

作者： Su, Ying Jin, Zhanming Peng, Jie Institute of Scientific and Technical Information of China Beijing 100038 China School of Economics and Management Tsinghua University Beijing 100084 China

This paper presents a methodology to determine three data quality (DQ) risk characteristics: accuracy, comprehensiveness and nonmembership. The methodology provides a set of quantitative models to confirm the information quality risks for the database of the geographical information system (GIS). Four quantitative measures are introduced to examine how the quality risks of source information affect the quality of information outputs produced using the relational algebra operations Selection, Projection, and Cubic Product. It can be used to determine how quality risks associated with diverse data sources affect the derived data. The GIS is the prime source of information on the location of cables, and detection time strongly depends on whether maps indicate the presence of cables in the construction business. Poor data quality in the GIS can contribute to increased risk or higher risk avoidance costs. A case study provides a numerical example of the calculation of the trade-offs between risk and detection costs and provides an example of the calculation of the costs of data quality. We conclude that the model contributes valuable new insight.

关键词： risk assessment data quality geographical information system probability spatial data quality

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