USlandfall

datasets

Methods for fitting point processes with parameters of generalised additive
model (GAM) form are provided. For an introduction to point processes see Cox, D.R &
Isham, V. (Point Processes, 1980, CRC Press), GAMs see Wood, S.N. (2017)
<doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. &
Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.

Ben Youngman

ppgam

Generalised Additive Point Process Models

USlandfall function

A data frame with 61129 rows and 2 variables
The variables are as follows:
<dl>
 <dt>date</dt>
<dd>date of landfall, as class "Date"</dd> <dt>landfall</dt>
<dd>an integer: did a hurricane make landfall on this day?</dd>
</dl>

Format

Times of landfalling US hurricanes — USlandfall

A data frame with 61129 rows and 2 variables
The variables are as follows:
<dl>
 <dt>date</dt>
<dd>date of landfall, as class "Date"</dd>

 <dt>landfall</dt>
<dd>an integer: did a hurricane make landfall on this day?</dd>


</dl>

USlandfall: Times of landfalling US hurricanes

Description

Usage

Arguments

Format

References

Examples