Skip to content

R interface for various datasets in US disaster aid funding. Includes cleaned datasets from NOAA, FEMA, HUD, and SBA.

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md
Notifications You must be signed in to change notification settings

etam4260/disasteraidr

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

disasteraidr

About

The goal of disasteraidr is to have an easy way to download cleaned data in R from various sources associated with disaster aid allocation in the UNITED STATES. This is an ongoing project with the University of Maryland Hazards and Infrastructures team. Currently ‘cleaned’ datasets come from HUD, NOAA, and FEMA. The main transformations come in CPI adjustments and conversion of row details associated with the location to FIPS/county level resolution. US Territories are left out in some of the dataset such as Guam, Puerto Rico.

Installation

You can install the development version of disasteraidr from Github with:

install.packages("devtools")
devtools::install_github("etam4260/disasteraidr")

Example

This is a basic example which shows you how to load in the data:

library(disasteraidr)
# The package currently contains 6 datasets:
# These will return <promise> objects. If in R studio, click on
# the <promise> tag to load it in.

# FEMA Hazard Mitigation Assistance Projects
data("hma")

# NOAA Storm Events
data("noaastorm")

# FEMA Individuals and Household Programs
data("ihp")

# HUD Community Block Grant Program
data("cdbgdr")

# FEMA Public Assistance
data("pa")

# FEMA Disaster Declarations
data("dd")

About

R interface for various datasets in US disaster aid funding. Includes cleaned datasets from NOAA, FEMA, HUD, and SBA.

Topics

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages