Title	Data Slips, Trips and Falls
Creator	McLoughlin, Neal
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2013-10-21
Description	Statisticians and physical modellers working on wildfire-related questions often utilize historical fire and weather archives and/or geospatial datasets maintained by fire management agencies. While these datasets are rich sources of information, they are also a reflection of policy changes, evolving collection methods and variable quality control measures. It is conceivable that analysis results could lead to erroneous conclusions if the subtleties associated with fire management data are overlooked. This presentation provides Alberta examples of how the unwary researcher may slip, trip or fall when using fuel, weather, and/or fire history data. Data sharing agreements will also be discussed.
Extent	48 minutes
Subject	Mathematics; Probability theory and stochastic processes; Operations research, mathematical programming; Mathematics of planet earth
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Government of Alberta
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2014-08-07
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivs 2.5 Canada
DOI	10.14288/1.0043764
URI	http://hdl.handle.net/2429/49717
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Undergraduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/2.5/ca/
Aggregated Source Repository	DSpace

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Data Slips, Trips and Falls McLoughlin, Neal

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