Building Catastrophe Models With Open Data And Open Software
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Title 
Building Catastrophe Models With Open Data And Open Software

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License 
CC Attribution  NonCommercial  ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and noncommercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. 
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Release Date 
2013

Language 
English

Production Place 
Nottingham

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Subject Area  
Abstract 
A catastrophe model is a tool/technique which estimates the potential loss of property and life following a major catastrophic event. Different types of events or perils are modelled including; windstorm, earthquake, flood, and storm surge. ELEMENTS is the inhouse catastrophe modelling software which is developed by Impact Forecasting, part of Aon Benfield Analytics. Behind the software are models for a wide range of different event and peril types across many countries and regions of the world. To develop the different components of the catastrophe model, Impact Forecasting use a variety of proprietary and open solutions. Open Data sources such as OpenStreetMap, SRTM, CORINE land cover datasets are used, amongst others. The opensource programming language, Python, is also used extensively to create hazard footprints and files needed for the catastrophe model. The use of Open Source software and Open Data supplemented with other available proprietary data sources allow Impact Forecasting to build more flexible and transparent catastrophe models.

00:00
Dialect
Mathematical model
Building
Open source
Open set
Mathematical model
Mathematical model
Open set
Mathematical model
Personal digital assistant
Oval
Visualization (computer graphics)
Nichtlineares Gleichungssystem
01:00
Area
Group action
Mathematical model
Online help
Client (computing)
Mereology
Field (computer science)
Data management
Event horizon
Insertion loss
Personal digital assistant
Strategy game
Serviceoriented architecture
Data type
02:01
Dataflow
Building
Software developer
Texture mapping
Connectivity (graph theory)
Maxima and minima
Denialofservice attack
Set (mathematics)
Insertion loss
Limit (category theory)
Function (mathematics)
Content (media)
Event horizon
Mathematical model
Mathematical model
Element (mathematics)
Number
Radius
Visualization (computer graphics)
Hazard (2005 film)
Addressing mode
Physical system
Exception handling
Vulnerability (computing)
Vulnerability (computing)
Mathematical model
Characteristic polynomial
Software developer
Closed set
Bit
Element (mathematics)
Mathematical model
Number
Uniform resource locator
Frequency
Integrated development environment
Personal digital assistant
Calculation
Computing platform
Video game
Summierbarkeit
Figurate number
Data structure
04:08
Metropolitan area network
Building
Mathematical model
Online help
State of matter
Covering space
Regulator gene
Execution unit
Menu (computing)
Online help
Mathematical model
Mathematical model
Element (mathematics)
Mathematical model
Prime ideal
Natural number
Natural number
Physical law
Conditionalaccess module
Form (programming)
Computerassisted translation
05:28
Standard deviation
Sensitivity analysis
Slide rule
Functional (mathematics)
Mapping
Concurrency (computer science)
Table (information)
Connectivity (graph theory)
Multiplication sign
Mathematical model
Computer
Event horizon
Element (mathematics)
Explosion
Stochastic
Singleprecision floatingpoint format
Visualization (computer graphics)
Software
Reduction of order
Utility software
Hazard (2005 film)
Pairwise comparison
Identity management
Area
Metropolitan area network
Default (computer science)
Vulnerability (computing)
Dialect
Matching (graph theory)
Mathematical model
Software developer
Closed set
Open source
Bit
Open set
Mathematical model
Human migration
Componentbased software engineering
Personal digital assistant
Table (information)
Freeware
07:34
Point (geometry)
Building
Digital electronics
Building
Multiplication sign
Time zone
Mathematical model
Medical imaging
Uniform resource locator
Population density
Different (Kate Ryan album)
Hazard (2005 film)
Reading (process)
08:32
Time zone
Mathematical model
Distribution (mathematics)
Building
Weight
Time zone
Instance (computer science)
Port scanner
Medical imaging
Frequency
Event horizon
Function (mathematics)
Authorization
Energy level
Hazard (2005 film)
Energy level
Information
09:31
Slide rule
Table (information)
Link (knot theory)
Variety (linguistics)
Denialofservice attack
Set (mathematics)
Menu (computing)
Disk readandwrite head
Event horizon
Code
Mathematical model
Number
Personal digital assistant
Hardwareintheloop simulation
Maize
Mathematical model
Open source
Data storage device
Code
Denialofservice attack
Bit
Open set
Mathematical model
Event horizon
Personal digital assistant
Computer cluster
Different (Kate Ryan album)
Energy level
Quicksort
Table (information)
Local ring
10:53
Point (geometry)
Presentation of a group
Freeware
Mapping
Service (economics)
Computer file
Variety (linguistics)
Open set
Counting
Mathematical model
Mathematical model
Element (mathematics)
Geometry
Pointer (computer programming)
Insertion loss
Computer configuration
Visualization (computer graphics)
Hazard (2005 film)
Extension (kinesiology)
Mathematical model
Server (computing)
Open source
Division (mathematics)
Port scanner
Open set
Element (mathematics)
Mathematical model
Componentbased software engineering
Process (computing)
Visualization (computer graphics)
Personal digital assistant
Video game
Quicksort
Whiteboard
Task (computing)
Extension (kinesiology)
13:10
Spectrum (functional analysis)
Code
Texture mapping
Insertion loss
Average
Total S.A.
Mathematical model
Computer
Event horizon
Proper map
Google Earth
Mixture model
Insertion loss
Visualization (computer graphics)
Software
Bus (computing)
Damping
Hazard (2005 film)
Summierbarkeit
Boss Corporation
Dialect
Building
State of matter
Code
Mathematical model
Process (computing)
Event horizon
Uniform resource name
Right angle
Energy level
Resultant
15:03
Point (geometry)
Presentation of a group
Building
Table (information)
Shape (magazine)
Mathematical model
Mathematics
Software
Hazard (2005 film)
Vulnerability (computing)
Mathematical model
Information
View (database)
Computer file
Open source
Sound effect
Bit
Exponential function
Open set
Element (mathematics)
Mathematical model
Componentbased software engineering
Mathematics
Different (Kate Ryan album)
Cycle (graph theory)
Resultant
16:10
Point (geometry)
Standard deviation
Color confinement
Mapping
View (database)
Set (mathematics)
Canonical ensemble
Proper map
Mathematical model
Mathematical model
Goodness of fit
Software
Visualization (computer graphics)
output
Physical system
Noise (electronics)
Mathematical model
Online help
Open source
Element (mathematics)
Open set
Mathematical model
Componentbased software engineering
Process (computing)
Visualization (computer graphics)
Different (Kate Ryan album)
Key (cryptography)
Quicksort
Catastrophism
Task (computing)
18:17
Suite (music)
Group action
Building
State of matter
Multiplication sign
Decision theory
Execution unit
Boom (sailing)
Insertion loss
Water vapor
Function (mathematics)
Open set
Disk readandwrite head
Mathematical model
Web 2.0
Sign (mathematics)
Computer configuration
Oval
Series (mathematics)
Physical system
Algorithm
Moment (mathematics)
Sampling (statistics)
Bit
Flow separation
Demoscene
Arithmetic mean
Digital photography
Data model
Process (computing)
Telecommunication
Right angle
Quicksort
Resultant
Web page
Slide rule
Functional (mathematics)
Service (economics)
Connectivity (graph theory)
Virtual machine
Device driver
Mathematical model
Event horizon
Product (business)
Element (mathematics)
Goodness of fit
Fluid
Authorization
Energy level
Metropolitan area network
Information
Physical law
Projective plane
Counting
Incidence algebra
Frame problem
Database normalization
Uniform resource locator
Personal digital assistant
Video game
Game theory
Musical ensemble
00:00
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00:18
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01:02
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01:25
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02:03
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02:39
components and the answer and it seems there were his coming and the with the exception only really got 3 3 key component of the Dow Zuck Environment ability and the explosion so within the houses that we might look at things like that for a quick shaking census a set and a break up of the same place was the intensity shaking at a location and close to the local Winstone was talking about when windspeed with stress and and floated might be the that will the flow of losses of the foot and the next the about vulnerability that's how a building or a stroke should respond to sue because such issues and that the damage to my Mike said the from those was responded to got to win Stone a greenhouse or get them quickly competitive with a bit more robust than exposure the defines and the risk in the 4th over of the things of the buildings and the sums in showed how much enjoyed each location and that may be and in some cases with his life insurance the number of people living alone in a location and together the 3 components can come together and just such a model and the output is the calculation giving Amitri figures for the potential losses for them but so they asked white people
04:12
using such a willingness to help them and help insurers and Rangers price the ecstatic of that the state is damage money we need to keep it that happens to take people out there was the last 25 usually started and in the rest and and following hurricane under and also the European winstone's the late Eighties and early Nineties we've seen since the only natural Tyrol's things like this great footed Winstone but and also Salonika also following the World Trade Center attacks things after as a model start to be developed and
04:59
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05:29
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05:49
their for some world of element will migrate tomorrow concurrency to these houses on ability and explosions were and reduction model components easier to social all the time or the findings fastest where my efficient under was in some cases the cheaper and so some examples we've got a book out here for individual event and now not sure you see that this is the city that little doubt that the current calculated footprint on a long close agreed to Turkey on the of quitting were quite proud of the match but this is the these Evans the default on that city from the issue as did you feel it's a quick could people go in and say we felt that this sense in this area so the dozen model that those who work closely matching what people felt and social life and so it is utilization use of the typhoon with not what would and based not as well and they say wanted is not as look at single event the look of hundreds of thousands of events he would build up this and pro ballistic events at a Stochastic events at so far Pomegreat hundreds of thousands of footprints you can and a much pretty free computer Preston sensitive and reason Piketon identities the Alexei wanted to Willis footprints is to say will these it is the regions of the disease and the that could affect affected us where we bring all together into a single massive table which showed that in the coming slides and we using all to do that with awaited and function which offers 2nd I'm a bit of the
07:36
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08:22
spell at different locations different mounted shaking and so this is the concept of shooting examples of the earthquake
08:34
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09:00
on sale method used to generate this is the author of that period the and and this gives you the treaty then we have the and Ashes only effects and in the probability of a citizens and the seat is eager to have a year had a L will approachability of high houses in the city millions and hypoglycemia of allows it going down to in new houses and the and so that was 1
09:31
example this is a bit more graphical for just for flood just showing how we bring together so a showing athletics and head after postal codes and they were looking at an does 1 event in this case and that the initiative and the event so model got these tables of made millions of millions roads because got hundreds of thousands vents each 1 affect number of a gets pretty big pretty quickly get so we know if we have sort it
10:02
on to the open days where they can use of open days said in a variety of ways mostly by creating and menu their freeness and by the advance of the World Trade is to a with a receipt for the storage cation local commercial use easy and counties the date set is a suitable for trying to do for us to do it in the scenario model and new I become we counties and the data is not a new 1 of the details for you to do and the link the biggest in going around but the by Guy and in the case so scurrilous about 3 of 400 data so and taken to the link with the slides of made available later and so some
10:55
examples a guest with the where Juakali developing and a is seen on model of Chile on the beaches of the south the and it is an open and will like the sort strange next year using said and a visit agreed with elevation values and and that really we win without because we want to present Countrywide model and and it was it was based only option a lot of other options which much higher costs on would would probably have implications for for the processing sound so this was also the illustrator prejudices was using at you let alone and survey the cases that data and sometimes and shift Kate and along scavenging Bailey and as they open sauces saucy and and she has produced the aesthetic useful for somewhat of 5 3 models using current which is why the status of the year and was also offer open data sauces making those Thomas does again to the use of the history some the point of interest is that there is a Case so
12:13
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13:12
examples 3 of them from the job of bosses job public and was the of tools so that the top left to begin the got and the average inundation the proposal code for 1 event from the Austrian float model of the disease built on lazy and and was giving the is just before the 1st of 4 events on the right here we got at all right of got and the average annual loss and 7 inches Kanharith as it does the burning costs and a guest will as the Ashes computer Sherman Cowell which is a more recent American I couldn't say the aptly values mean something but we states is relatively high and this means more vigorous and but left got exposure so we can take care of to December amount of of where they enjoyed locations on and then the bus right here we've got a similar to the south left of this is an looking as Sonata events and showing what the to a loss is the region to the toilet should look at Campbell switch off is as well the postcodes districts municipalities and and regions as well also just
14:36
dementia season not just of his result is a propriety tools to and there are giants and global not really great bellicose just tools and these global can we will do I don't admitted that had and Gillis's well under the neighbors reasons as of junior during solutions to work and had a mixture of the so some so that the
15:07
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15:37
generally just commissures suffer of the shape to seeking change the houses the exposure the ability in the for failure information and and see the effect that has and for example the ability to want to see it and I didn't know that side of the buildings during which quite what and you can make an assumption maybe not native Stern marinated Reinfeldt's concrete he could make the assumption from the model again and again destiny in the results so yes this
16:13
is also true for the UK stushie models as well and they used throughout the Jersey reassurance industry book and there are many other potential uses so a really good agencies and decline and when he had a wife scenario is at event with happen an acceptable to give you not put could help with the evacuation funding and on and humanitarian agencies and also commercial business is an academic institution amounts of taken model and needed for slightly different at all the sort of thing a guest the other point is that when making use of both open open data provided a set of his or some propriety suffer with with what weddings Augustus and make sure and noise of people going in the same way that we have an analyst at the best of the job of the confines of the new so and that the and health system I will use Adams a country country back also so
17:14
Augustus a summary and session lows will alighted Bestinvest on your your risk to to a succession have to build competitive in Durban data on concerns are the of data sauces using the special useful for some of the Countrywide morals wedding and where we need a cannon general general view of catastrophic risk rather than a scenario model that might be which would be very open sauce has suffered really can help speed up the datasets so were using tightened compute hundreds of thousands of great footprints and packages to help the speed of sound and with visualization wheezing Tuesday Vodafone and with a history of standard well the under a sell the also and cistuses final point in accession Mosley's in Asia and America beaten them in many of the sexes industries and simmer for open for the business should
18:18
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tool for the job the best to the sauce and the issue with here is used the best of the job and in all cases eyes open so strong Productivity will depend on the situation serving from them in an early start to the the year ratio times following sickening get the sleek and however free quickly and and is Augusta quite in his 1st taste of what is going to go for a scan could had the of data from the majority of those comments or in the air some of the up on the idea of and so a guess that could use a sample of the the year as Altium's cut costs to rein data so the movies and the and some of the scene on well the within in Chile and the and the and the review returns is this is that we have to feel so is the great great at where not to can match the severity by how but the date was slabs can in some cases that the correct Coretta's history data to also last last 1 example Iustitia shines if you got to go this distressed and if he got the idea for the business of sauce making can cross references songs which can be as much count I've used it was struck off but it was said it of the city and for the state which Chris yet was not Julie 1 using schools but now there is with the ball I the over yet the of all East long P told there is that the music business thanks to the passing the it's really initially in a different situation to dictate what what we've found thing that it with their with everyone a week rigorously were document all processes they will be the subject of any money make a series of assumptions a move and the Evans and and is committed in assumptions about services this is the days reusing and this is all we got was had been today we need in the failure of history finger in the air and say Well we think we should be pitched in this much insurance and at a guess even cost model is best model and but at a place a if there is that the days there and be go time and and and the money cities that we will and but it again and it is also the implications using and unit less cost days more sign days this 1st in event on special terrain data floating meaning go down so on to Didier but they need to spend 2 not his 1st Anderson find out how to use your selling reaches of the Earth work it yesterday is or or or or or or or so to the output of all model would would go into something denied that financial losses to also banned from this tool of pleasure trade on a slide Amin get now lost the event from the model and that the information would feed into a pricing to to its 8 United and doesn't and season is essential losses at the Asian and reach for each event on 3 for each lost on each location committed to the UK or the daily unrealistic of policing output from this is that it has an influence the next also that this is the opposite a ready for the next pricing essentially him