File:Cost-of-storms-by-decade.jpg

Summary
The cost of extreme weather is rising rapidly and could reach four trillion dollars by 2020. source data: IPCC. Some of the increase is due to greater exposure such as building on the coast.

Note that the underlying cause (excess heat trapped in atmosphere by greenhouse gases) more closely fits a sigmoid curve. The logistic function or its functional neighbors (e.g., the Gompertz function) might produce a better extrapolation.

Application and source code

 * # from http://www.ipcc.ch/present/graphics/2001syr/large/08.17.jpg
 * # from http://www.ipcc.ch/present/graphics/2001syr/large/08.17.jpg
 * # from http://www.ipcc.ch/present/graphics/2001syr/large/08.17.jpg


 * # for graph


 * # enter log domain for nonnegative data



"... on 2 degrees of freedom, adjusted R-squared: 0.9839, p-value: 0.00804"


 * # calculate confidence intervals


 * # exit log domain



Thanks
Thanks to Marc Schwartz for the R commands to create graphs with confidence intervals.