Blog Archives

New R package hazus: Damage functions from FEMA’s HAZUS software for use in modeling financial losses from natural disasters

June 20, 2014
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New R package hazus: Damage functions from FEMA’s HAZUS software for use in modeling financial losses from natural disasters

Damage Functions (DFs) translate physical damage to property, resulting from natural disasters, to financial damage. FEMA in USA developed several thousand DFs and these serve as a benchmark in natural catastrophe modeling, both in academia and industry. However, these DFs and their documentation are buried within FEMA's HAZUS software and are not easily accessible for analysis and visualization.The hazus...

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New R package rainfreq: Rainfall Frequency (or Design Storm) Estimates from the US National Weather Service

May 26, 2014
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New R package rainfreq: Rainfall Frequency (or Design Storm) Estimates from the US National Weather Service

Rainfall estimates at desired frequency (e.g., 1% annual chance or 100-year return period) and duration (e.g., 24-hour) are often required in the design of dams and other hydraulic structures, catastrophe risk modeling, environmental planning and manag...

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Updates to R package emdatr: Global Disaster Losses from the EMDAT Database

May 13, 2014
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Updates to R package emdatr: Global Disaster Losses from the EMDAT Database

The EMDAT database provides valuable information on human and financial losses from natural disasters around the world. Some of the issues with the EMDAT data are lack of entire data accessibility, static and inconsistent summary reports, and the lack ...

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New R package dams: Dams in the United States

May 7, 2014
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New R package dams: Dams in the United States

The dams package provides functionality to access over 74,000 dams in the National Inventory of Dams (NID) from the US Army Corps of Engineers, the single largest source of dams in the United States. Each dam has 64 attributes such as geographical...

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Dams in the United States from the National Inventory of Dams (NID) Database

April 7, 2014
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Dams in the United States from the National Inventory of Dams (NID) Database

There is no database containing information on all the dams in the United States. The single largest source is the National Inventory of Dams (NID) from the US Army Corps of Engineers which claims to have more than 80,000 dams. I downloaded the en...

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The Tornado Project: Annual Tornado Frequency by Location

January 21, 2014
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The Tornado Project: Annual Tornado Frequency by Location

The goal of this open source R-based analysis, as mentioned earlier (first post, second post) is to bring consistency and transparency to the analyses of publicly available Tornado data.The latest addition to the project is the analysis of local t...

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USA Drought of 2013: Analysis of High-resolution Rainfall Data Using R

January 8, 2014
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USA Drought of 2013: Analysis of High-resolution Rainfall Data Using R

The ongoing drought in California and other parts of Southwestern United States has been reported extensively by newspapers and government sites.Although rainfall deficit is technically meteorological drought, and drought could be of several other...

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The Rain Project: An R-based Open Source Analysis of Publicly Available Rainfall Data

January 6, 2014
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Rainfall data used by researchers in academia and industry does not always come in the same format. Data is often in atypical formats and in extremely large number of files and there is not always guidance on how to obtain, process and visualize the da...

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The Tornado Project: Counting Tornadoes

December 29, 2013
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The goal of this open source R-based analysis, as mentioned in my earlier post, is to bring consistency and transparency to the analyses of publicly available Tornado datasets.The project home page is on my GitHub site - https://github.com/Ra...

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The Tornado Project

December 9, 2013
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GoalBring consistency and transparency to the analyses of publicly available Tornado datasets using an R-based open source analysis.IssuesTornado data available from the NOAA Storm Prediction Center and other government agencies around the world h...

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