Friday, November 22, 2013

New R package emdatr: Global Disaster Losses from the EM-DAT Database

The International Disaster Database EM-DAT from the Center for Research on the Epidemiology of Disasters (CRED, Belgium) is often used as a reference for losses on human life and property resulting from natural and man-made disasters. This database has over 20,000 country-level records from the early 1900s to the present. Data is available for free from EMDAT.

Some issues with EM-DAT data and reports:
  • Country names used by EMDAT are not always the same as those used by ISO 3166 convention. This issue is relevant when making spatial maps using R. 
  • Information such as GDP and population from the year of occurrence of the disaster have to be used to "normalize" or adjust monetary losses from the past. The EMDAT database does not provide such information. 
  • Annual reports published by EMDAT are not consistent with one another in terms of number of disasters per year or the total number of people affected/killed. For instance, number of diasters in 2002 were reported to be 428 in the ADSR 2012 report. But the same number in the 2011, 2010, 2009 and 2008 reports is 421, 421, 422 and 421, respectively!
R package emdatr:
  • comes with pre-processed and cleaned EMDAT data
  • includes above-mentioned additional country-level information
  • has functionality to extract desired subsets of the data
  • through the graphics and modeling capabilities provided by R, much more can be accomplished through this R package and the R language, than conventional spreadsheet analyses
  • by making the analysis transparent, the problems with the presentation of summary statistics could be addressed
The home page for the package presents some examples and graphics. Please see -

Below are the relevant CRAN and GitHub sites:
Please let me know if you find any errors or if you have any comments or suggestions.


Albert Cor said...

EstDamage is in million $, but GDP is in $. Please use the same measure.

Nice job!

Gopi Goteti said...

Thanks Albert! I did not want to change the units of the raw data from EM-DAT or from the world bank and so I left them as is. When I update the package, hopefully in Jan 2013, I will fix this.