Basis Risk of Earthquake Catastrophe Bond Trigger Using Scenario-Based versus Station Intensity–Based Approaches: A Case Study for Southwestern British Columbia

2013 ◽  
Vol 29 (3) ◽  
pp. 757-775 ◽  
Author(s):  
Katsuichiro Goda
Keyword(s):  
British Columbia ◽  
Spatial Correlation ◽  
Ground Motions ◽  
Basis Risk ◽  
Catastrophe Bonds ◽  
Correlation Models ◽  
Wood Frame ◽  
Trigger Mechanisms ◽  
Balanced Solutions

This study investigates the effectiveness of two trigger mechanisms for parametric earthquake catastrophe bonds: scenario-based and station intensity–based approaches, in terms of basis risk. Advantages of the station intensity–based method are that balanced solutions with low total trigger errors and with similar positive and negative errors can be obtained. Two methods are applied to a case study for 2,000 conventional wood-frame houses in southwestern British Columbia. The results indicate that the station intensity–based method performs at least as well as the scenario-based method in terms of total trigger error. Moreover, model risks, as part of basis risk, are assessed by considering different spatial correlation models of peak ground motions. The use of incorrect spatial correlation models results in additional errors of the catastrophe bond trigger mechanisms.

Comparison of Nonlinear Spatial Correlation Models by the Influence of the Data Augmentation to the Classification Risk

2002 ◽  
Vol 7 (1) ◽  
pp. 31-42
Author(s):  
J. Šaltytė ◽  
K. Dučinskas
Keyword(s):  
Spatial Correlation ◽  
Random Fields ◽  
Data Augmentation ◽  
Gaussian Random Fields ◽  
Classification Rule ◽  
Numerical Comparison ◽  
First Order ◽  
Bayesian Risk ◽  
Correlation Models

The Bayesian classification rule used for the classification of the observations of the (second-order) stationary Gaussian random fields with different means and common factorised covariance matrices is investigated. The influence of the observed data augmentation to the Bayesian risk is examined for three different nonlinear widely applicable spatial correlation models. The explicit expression of the Bayesian risk for the classification of augmented data is derived. Numerical comparison of these models by the variability of Bayesian risk in case of the first-order neighbourhood scheme is performed.

scholarly journals Closing the research-implementation gap using data science tools: a case study with pollinators of British Columbia

2020 ◽  
Author(s):  
Laura Melissa Guzman ◽  
Tyler Kelly ◽  
Lora Morandin ◽  
Leithen M’Gonigle ◽  
Elizabeth Elle
Keyword(s):  
British Columbia ◽  
Data Science ◽  
Academic Research ◽  
Science Methods ◽  
Research Implementation ◽  
Conservation Practice ◽  
Implementation Gap ◽  
Web App ◽  
Using Data

AbstractA challenge in conservation is the gap between knowledge generated by researchers and the information being used to inform conservation practice. This gap, widely known as the research-implementation gap, can limit the effectiveness of conservation practice. One way to address this is to design conservation tools that are easy for practitioners to use. Here, we implement data science methods to develop a tool to aid in conservation of pollinators in British Columbia. Specifically, in collaboration with Pollinator Partnership Canada, we jointly develop an interactive web app, the goal of which is two-fold: (i) to allow end users to easily find and interact with the data collected by researchers on pollinators in British Columbia (prior to development of this app, data were buried in supplements from individual research publications) and (ii) employ up to date statistical tools in order to analyse phenological coverage of a set of plants. Previously, these tools required high programming competency in order to access. Our app provides an example of one way that we can make the products of academic research more accessible to conservation practitioners. We also provide the source code to allow other developers to develop similar apps suitable for their data.

scholarly journals Where is it? Examining Post-Secondary Students' Accessibility to Policies and Resources on Sexual Violence

2019 ◽  
Vol 49 (2) ◽  
pp. 90-108
Author(s):  
Jacey Magnussen ◽  
Irene Shankar
Keyword(s):  
British Columbia ◽  
Sexual Assault ◽  
Sexual Violence ◽  
Secondary Students ◽  
Support Services ◽  
Post Secondary ◽  
Policies And Programs ◽  
Sexual Assault Policy ◽  
Similar Legislation

Faced with a growing demand for adequate policies and programs that meaningfully address sexual violence on campus, the provinces of British Columbia, Ontario and Manitoba have introduced legislation requiring all post-secondary institutions to institute a sexual assault policy. The remaining provinces and territories do not have similar legislation. In absence of such legislation, using the case study of Alberta, we examined how equipped post-secondary institutions in this province are to assist students in need. Utilizing publicly available data we examined: 1) whether Alberta’s post-secondary institutions have a sexual violence policy which is readily and easily accessible to the student; and 2) the ease with which students can access university resources and support services for sexual violence. The results indicate that most institutions do not have an accessible policy and support services for students in need. We are hopeful that this study can inform those designing and advocating for sexual violence policies on campus to institute measures to clarify institutions’ sexual violence policies, increase accessibility to those policies, create policies where they are missing, and work on clarifying the availability of resources for students on and off campus.

3D joint inversion of magnetotelluric and airborne tipper data: a case study from the Morrison porphyry Cu-Au-Mo deposit, British Columbia, Canada

2017 ◽  
Vol 66 (2) ◽  
pp. 397-421 ◽  
Author(s):  
Benjamin M. Lee ◽  
Martyn J. Unsworth ◽  
Juliane Hübert ◽  
Jeremy P. Richards ◽  
Jean M. Legault
Keyword(s):  
British Columbia ◽  
Joint Inversion ◽  
Porphyry Cu
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