Abstract
This paper presents a methodology for using a generic data-driven spatial access method as a communication mechanism for vario-scale data in a server-client setting. As a complete data set is often quite large, it is managed at the server side and supporting different scale levels is important. We show that a generic R-tree like grouping method, commonly used for efficiently organizing and retrieving data from a database, can be used in a networked architecture and that it allows off-loading processing tasks from a server to a client. This helps in making web services more scalable. The method supports efficient retrieval of partial data by a client and makes it possible to reuse data by means of caching. This can make communication more efficient.
Original language | English |
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Title of host publication | Proceedings of the 20th AGILE Conference on Geographic Information Science |
Subtitle of host publication | Societal Geo-innovation |
Editors | Arnold Bregt, Tapani Sarjakoski, Ron van Lammeren, Frans Rip |
Publisher | Wageningen University |
Number of pages | 6 |
ISBN (Electronic) | 978-90-816960-7-4 |
Publication status | Published - 2017 |
Event | AGILE 2017: 20th AGILE International Conference on Geographic Information Science - Wageningen, Netherlands Duration: 9 May 2017 → 12 May 2017 https://agile-online.org/index.php/conference/conference-2017 |
Conference
Conference | AGILE 2017: 20th AGILE International Conference on Geographic Information Science |
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Country/Territory | Netherlands |
City | Wageningen |
Period | 9/05/17 → 12/05/17 |
Internet address |
Keywords
- vario-scale data
- vario-scale maps
- spatial access methods
- server-client architecture
- caching