Codes and Data for 'Data Driven Risk Management for Fire Services'

DOI:10.4121/616ebe58-9d77-4882-a5d6-dbc07b91f077.v1
The DOI displayed 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: 10.4121/616ebe58-9d77-4882-a5d6-dbc07b91f077

Datacite citation style

Van Lieshout, Marie-Colette; Lu, Changqing (2024): Codes and Data for 'Data Driven Risk Management for Fire Services'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/616ebe58-9d77-4882-a5d6-dbc07b91f077.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The folder includes the codes for generating synthetic data and some public data sets used in research for 'Data Driven Risk Management for Fire Services'.

The 'infill asymptotic' files are regarding confidence interval construction for estimating equations for spatial point processes.

The 'Bei' and 'Capp' are public data sets on tropical forestry data on Barro Colorado Island in Panama. The original description can be found in the reference link.

History

  • 2024-09-27 first online, published, posted

Publisher

4TU.ResearchData

Funding

  • Data Driven Risk Management for Fire Services (grant code 18004) NWO

Organizations

University of Twente, Faculty of Electrical Engineering Mathematics and Computer Science, Stochastic Operations Research Group

DATA

Files (11)