GEDSys: Software components for the Geographic Event Detection System.
doi:10.4121/0c38adcb-d42e-4c67-b6a6-2a48a16010fd.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/0c38adcb-d42e-4c67-b6a6-2a48a16010fd
doi: 10.4121/0c38adcb-d42e-4c67-b6a6-2a48a16010fd
Datacite citation style:
Garcia Alvarez, Manuel (2024): GEDSys: Software components for the Geographic Event Detection System. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/0c38adcb-d42e-4c67-b6a6-2a48a16010fd.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
categories
licence
MIT
Components for the Geographic Event Detection System. This system implements the RASCA architecture for event-driven application. Event-driven applications detect the occurrence of relevant geographic events on data streams produced by sensor networks.
history
- 2024-11-27 first online, published, posted
publisher
4TU.ResearchData
format
script/.py, script/java, json
associated peer-reviewed publication
GeoSmart Cites: an event-driven approach to process big geodata in smart cities
organizations
University of Twente, Faculty of ITC, Department of Geo-information Processing
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/a97b4bbb-93ad-4828-968f-80202ee160b8.git "GEDSys"
files (1)
- 1,266,703 bytesMD5:
e6d59c0a44ce62e015b47aa984828fea
GEDSys-2.0.0-beta.tar.gz -
download all files (zip)
1,266,703 bytes unzipped