within_area

Determine whether locations in the image/lattice (from <code>generate.grid</code>)
are within or without the union of a random set generated by 
<code>sim2D_HPPP_coords()</code>. If the Euclidean distance between a lattice 
location and any 'event' is less than the radius about the 'event', then 
the location is said to be within the random set. Otherwise, it is without
the random set.

Provides tools for simulating spatially dependent predictors (continuous or binary),
which are used to generate scalar outcomes in a (generalized) linear model framework. Continuous
predictors are generated using traditional multivariate normal distributions or Gauss Markov random
fields with several correlation function approaches (e.g., see Rue (2001) <doi:10.1111/1467-9868.00288>
and Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>), while binary predictors are generated using
a Boolean model (see Cressie and Wikle (2011, ISBN: 978-0-471-69274-4)). Parameter vectors
exhibiting spatial clustering can also be easily specified by the user.

Justin Leach

sim2Dpredictr

Simulate Outcomes Using Spatially Dependent Design Matrices

within_area function

<dl><dt>grid.centers</dt>
<dd>Output from <code>generate.grid()</code> that specifies the 
coordinates of the lattice locations in native space.</dd>
<dt>radii</dt>
<dd>A vector of radii values.</dd>
<dt>event.xcoord, event.ycoord</dt>
<dd>Paired vectors specifying the x- and 
y- coordinates, respectively, of each 'event' from the Poisson process.</dd></dl>

Arguments

Determine Whether Lattice Points are Within or Without a Random Set — within_area

<dl>

<dt>grid.centers</dt>
<dd>Output from <code>generate.grid()</code> that specifies the 
coordinates of the lattice locations in native space.</dd>


<dt>radii</dt>
<dd>A vector of radii values.</dd>


<dt>event.xcoord, event.ycoord</dt>
<dd>Paired vectors specifying the x- and 
y- coordinates, respectively, of each 'event' from the Poisson process.</dd>

</dl>

within_area: Determine Whether Lattice Points are Within or Without a Random Set

Description

Usage

Value

Arguments