CA_polygon

A sf(simple feature) containing geometric boundaries of CA counties with their codes.

datasets

Identify statistically significant flow clusters using the local spatial network autocorrelation statistic G_ij*
proposed by 'Berglund' and 'Karlström' (1999) <doi:10.1007/s101090050013>.
The metric, an extended statistic of 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>,
detects a group of flows having similar traits in terms of directionality.
You provide OD data and the associated polygon to get results
with several parameters, some of which are defined by spdep package.

Youngbin Lee

spnaf

Spatial Network Autocorrelation for Flow Data

Hui Jeong Ha

Sohyun Park

Kyusik Kim

Jinhyung Lee

CA_polygon function

A <code>sf</code> object with 58 rows and 2 variables<dl>
 <dt>id</dt>
<dd>FIPS County code of geography</dd> <dt>geometry</dt>
<dd>the geometry column for counties(CRS: NAD83)</dd>
</dl>

Format

Sample polygon data of California counties. — CA_polygon

A <code>sf</code> object with 58 rows and 2 variables<dl>
 <dt>id</dt>
<dd>FIPS County code of geography</dd>

 <dt>geometry</dt>
<dd>the geometry column for counties(CRS: NAD83)</dd>


</dl>

CA_polygon: Sample polygon data of California counties.

Description

Usage

Arguments

Format