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