Using a generic spatial access method for caching and efficient retrieval of vario-scale data in a server-client architecture

Using a generic spatial access method for caching and efficient retrieval of vario-scale data in a server-client architecture

Rovers, A
Meijers, B.M. (TU Delft OLD Department of GIS Technology)
van Oosterom, P.J.M. (TU Delft OLD Department of GIS Technology)

Bregt, Arnold (editor)
Sarjakoski, Tapani (editor)
Lammeren, Ron van (editor)
Rip, Frans (editor)

2017

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.

vario-scale data
vario-scale maps
spatial access methods
server-client architecture
caching

http://resolver.tudelft.nl/uuid:2a497baf-6486-419a-953b-21401c0ecc00

Wageningen University

978-90-816960-7-4

Proceedings of the 20th AGILE Conference on Geographic Information Science: Societal Geo-innovation

AGILE 2017: 20th AGILE International Conference on Geographic Information Science, 2017-05-09 → 2017-05-12, Wageningen, Netherlands

Institutional Repository

conference paper

© 2017 A Rovers, B.M. Meijers, P.J.M. van Oosterom