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Intelligent geovisualizations for open government data (vision paper)

Authors:

Auriol Degbelo,

Christian KrayAuthors Info & Claims

SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 77 - 80

https://doi.org/10.1145/3274895.3274940

Published: 06 November 2018 Publication History

Abstract

Open government datasets (OGD) have been flooding the Web in recent years. Geovisualisations are the natural way of making sense of them, and have been gradually coming out. However, one key problem is the lack of flexibility of these visualizations, which severely limits their re-use in new scenarios. This article therefore proposes to increase the intelligence of existing geovisualisations by incorporating five features, to make better use of OGD: (i) automatic geographic data type recognition, (ii) generation of geovisualisation designs, (iii) monitoring of users' understanding of geographic facts, (iv) self-optimization, and (v) user activity recognition. In addition to benefiting users of OGD, realizing these features presents rich scientific challenges and opportunities for Geovisualization research, the OGD landscape (and beyond).

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Cited By

Meißner SDegbelo A(2024)User Performance Modelling for Spatial Entities Comparison with Geodashboards: Using View Quality and Distractor as ConceptsCompanion Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3660515.3661325(7-14)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3660515.3661325
Degbelo ASchmidt BHenzen CLechler SLubahn BZander F(2023)Desiderata for Intelligent Maps: A Multiperspective CompilationDesiderata für intelligente Karten: Eine multiperspektivische ZusammenstellungKN - Journal of Cartography and Geographic Information10.1007/s42489-023-00142-w73:3(183-198)Online publication date: 17-Jun-2023
https://doi.org/10.1007/s42489-023-00142-w
Somaskantharajan SDegbelo AKrukar J(2023)An Exploratory Study of Models of Mobile Map User ExperienceEine explorative Studie über Modelle der Nutzererfahrung bei mobilen KartenKN - Journal of Cartography and Geographic Information10.1007/s42489-023-00136-873:2(127-146)Online publication date: 29-Apr-2023
https://doi.org/10.1007/s42489-023-00136-8
Show More Cited By

Index Terms

Intelligent geovisualizations for open government data (vision paper)
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
    2. Visualization systems and tools

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Published In

cover image ACM Conferences

SIGSPATIAL '18: Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2018

655 pages

ISBN:9781450358897

DOI:10.1145/3274895

General Chairs:
Farnoush Banaei-Kashani
University of Colorado, Denver
,
Erik Hoel
Esri
,
Program Chairs:
Ralf Hartmut Güting
FernUniversität in Hagen, Germany
,
Roberto Tamassia
Brown University
,
Li Xiong
Emory University

Copyright © 2018 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

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Published: 06 November 2018

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H2020 European Research Council

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SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6 - 9, 2018

Washington, Seattle

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SIGSPATIAL '18 Paper Acceptance Rate 30 of 150 submissions, 20%;

Overall Acceptance Rate 220 of 1,116 submissions, 20%

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Cited By

Meißner SDegbelo A(2024)User Performance Modelling for Spatial Entities Comparison with Geodashboards: Using View Quality and Distractor as ConceptsCompanion Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3660515.3661325(7-14)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3660515.3661325
Degbelo ASchmidt BHenzen CLechler SLubahn BZander F(2023)Desiderata for Intelligent Maps: A Multiperspective CompilationDesiderata für intelligente Karten: Eine multiperspektivische ZusammenstellungKN - Journal of Cartography and Geographic Information10.1007/s42489-023-00142-w73:3(183-198)Online publication date: 17-Jun-2023
https://doi.org/10.1007/s42489-023-00142-w
Somaskantharajan SDegbelo AKrukar J(2023)An Exploratory Study of Models of Mobile Map User ExperienceEine explorative Studie über Modelle der Nutzererfahrung bei mobilen KartenKN - Journal of Cartography and Geographic Information10.1007/s42489-023-00136-873:2(127-146)Online publication date: 29-Apr-2023
https://doi.org/10.1007/s42489-023-00136-8
Gorte VDegbelo A(2022)Choriented Maps: Visualizing SDG Data on Mobile DevicesThe Cartographic Journal10.1080/00087041.2021.198661659:1(35-54)Online publication date: 19-Jul-2022
https://doi.org/10.1080/00087041.2021.1986616
Degbelo A(2021)FAIR geovisualizations: definitions, challenges, and the road aheadInternational Journal of Geographical Information Science10.1080/13658816.2021.198357936:6(1059-1099)Online publication date: 28-Oct-2021
https://doi.org/10.1080/13658816.2021.1983579
Degbelo ATeka BPurves RJones C(2019)Spatial search strategies for open government dataProceedings of the 13th Workshop on Geographic Information Retrieval10.1145/3371140.3371142(1-10)Online publication date: 28-Nov-2019
https://dl.acm.org/doi/10.1145/3371140.3371142
Degbelo ASarfraz SKray C(2019)Data scale as cartography: a semi-automatic approach for thematic web map creationCartography and Geographic Information Science10.1080/15230406.2019.1677176(1-18)Online publication date: 5-Nov-2019
https://doi.org/10.1080/15230406.2019.1677176
Degbelo AWissing JKauppinen T(2018)A Comparison of Geovisualizations and Data Tables for Transparency Enablement in the Open Government Data LandscapeInternational Journal of Electronic Government Research10.4018/IJEGR.201810010414:4(39-64)Online publication date: Oct-2018
https://doi.org/10.4018/IJEGR.2018100104

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