road_GD

<p>"road_GD" dataset is the road damage conditions on 5000 road segments,
together with the potential factors of speed limit, local soil type,
population within 1-km buffer around the road, and the daily vechile volumes.
More detials about the data can be found in Yongze Song (2018)
&lt;doi:10.1109/TITS.2018.2805817&gt;.</p>

dataset

Geographical detectors for measuring spatial stratified heterogeneity,
as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and
Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the
optimal discretization of continuous data, four primary functions of
geographical detectors, comparison of size effects of spatial unit and
the visualizations of results. To use the package and to refer the
descriptions of the package, methods and case datasets, please cite
Yongze Song (2020) <doi:10.1080/15481603.2020.1760434>.

Yongze Song 

Geographical Detectors

road_GD function

<p>A data frame with 5000 rows and 5 variables</p>

road_GD: Spatial datasets of road damage conditions.

Description

Usage

Arguments

Format

References