Efficient Interactive Visualization of Large Geospatial Query Results
Article No.: 51, Pages 1 - 4
Abstract
We present a web mapping application that offers interactive visualization of query results with hundreds of millions of geospatial objects. This is in contrast to existing applications, which are slow or unresponsive when the number of objects in the result is large. We describe a general technique, which works for any database engine that represents each geospatial object with a unique IDs and that can return a query result either with the objects or with the IDs. We have implemented a web mapping application using this technique and with the QLever SPARQL engine as backend. We evaluate it on queries on the complete OpenStreetMap (OSM) data, with result sizes ranging from small to very large. We compare it against the map interfaces of Overpass, PostGIS, and OSCAR.
References
[1]
Daniel Bahrdt, Stefan Funke, Rick Gelhausen, and Sabine Storandt. 2017. Searching OSM Planet with Context-Aware Spatial Relations. In GIS 2017.
[2]
Hannah Bast, Patrick Brosi, Johannes Kalmbach, and Axel Lehmann. 2021. An Efficient RDF Converter and SPARQL Endpoint for the Complete OpenStreetMap Data. In GIS. ACM, 536--539.
[3]
Hannah Bast and Björn Buchhold. 2017. QLever: A Query Engine for Efficient SPARQL+Text Search. In CIKM 2017, Singapore, November 06 - 10.
[4]
Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, and Niklas Schnelle. 2022. Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs. In CIKM. ACM, 2893--2902.
[5]
Roland M. Olbricht. 2015. Data Retrieval for Small Spatial Regions in OpenStreetMap. In OpenStreetMap in GIScience. Springer, 101--122.
Index Terms
- Efficient Interactive Visualization of Large Geospatial Query Results
Recommendations
Multisource Remotely Sensed Wetland Information Exploration Using Interactive Visualization Methods
BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of ThingsIn wetland research, the increasing amount of data available from earth observation technologies provides new challenges for data analysis and wetland mapping. Interactive visualization can provide new techniques for knowledge discovery in remote ...
Interactive Visualization of Multiple Query Results
INFOVIS '01: Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)This paper introduces a graphical method for visually presenting and exploring the results of multiple queries simultaneously. This method allows a user to visually compare multiple query result sets, explore various combinations among the query result ...
Approximate Query Processing for Interactive Data Science
SIGMOD '17: Proceedings of the 2017 ACM International Conference on Management of Datashift in the algorithms and tools used to analyze data towards more interactive systems with highly collaborative and visual interfaces. Ideally, a data scientist and a domain expert should be able to make discoveries together by directly manipulating, ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
November 2023
686 pages
ISBN:9798400701689
DOI:10.1145/3589132
- General Chairs:
- Maria Luisa Damiani,
- Matthias Renz,
- Program Chairs:
- Ahmed Eldawy,
- Peer Kröger,
- Mario A Nascimento
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 December 2023
Check for updates
Author Tags
Qualifiers
- Short-paper
Conference
SIGSPATIAL '23
Sponsor:
SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems
November 13 - 16, 2023
Hamburg, Germany
Acceptance Rates
Overall Acceptance Rate 220 of 1,116 submissions, 20%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 73Total Downloads
- Downloads (Last 12 months)73
- Downloads (Last 6 weeks)11
Reflects downloads up to 04 Oct 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in