Global Assessment Report on Disaster Risk Reduction 2015
Making development sustainable: The future of disaster risk management


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52
Part I - Chapter 2
Notes
1 See Figure 2.11, GAR11 (UNISDR, 2011a

UNISDR. 2011a,Global Assessment Report on Disaster Risk Reduction: Revealing Risk, Redefining Development, Geneva, Switzerland: UNISDR.. .
), http://www. preventionweb.net /english/hyogo/gar/ 2011/en/what / chapter2_2_3.html.
2
World Bank regions.
3
World Bank data: http://data.worldbank.org.
4
www.ioc.tsunami.org.
5
See the case study on Mexico’s earthquake early warning system in Chapter 7.
6
In Figure 2.5 and the following graphs, it is possible to determine whether a trend is significant or not using the r-squared (R2) value, which is the coefficient of determination. R2 is a statistical measure that generally ranges from 0 to 1 and indicates how well data fits a statistical model. The higher the coefficient of determination is, the better the fit between the regression and the data.
7
https://www.zamg.ac.at/cms/de/klima/news/wetterberuhigt-sich-allmaehlich (accessed 23 December 2014).
8
www.emdat.be. 9 www.emdat.be.
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