H1N1

h1n1_50

h1n1_100

h1n1_150

The "H1N1" dataset provides provincial statistical incidences of
influenza A virus subtype H1N1 in China for 2013. It includes H1N1 incidences and related variables across
three different spatial grid sizes: 50 km, 100 km, and 150 km.
Detailed references and data sources will be added.

datasets

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>. The model has
been applied in factor exploration of road performance and multi-scale
spatial segmentation for network data, as described in
Yongze Song (2018) <doi:10.3390/rs10111696> and
Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.

Wenbo Lv

Geographical Detectors for Assessing Spatial Factors

Yongze Song

Wenbo Lyu

H1N1 function

<dl>
<dt><code>h1n1_50</code></dt>
<dd>A data frame with 3977 rows and 11 variables (50 km grid size).</dd><dt><code>h1n1_100</code></dt>
<dd>A data frame with 987 rows and 11 variables (100 km grid size).</dd><dt><code>h1n1_150</code></dt>
<dd>A data frame with 443 rows and 11 variables (150 km grid size).</dd>
</dl>

Format

Spatial datasets of H1N1 flu incidences — H1N1

<dl>
<dt><code>h1n1_50</code></dt>
<dd>A data frame with 3977 rows and 11 variables (50 km grid size).</dd>

<dt><code>h1n1_100</code></dt>
<dd>A data frame with 987 rows and 11 variables (100 km grid size).</dd>

<dt><code>h1n1_150</code></dt>
<dd>A data frame with 443 rows and 11 variables (150 km grid size).</dd>


</dl>

H1N1: Spatial datasets of H1N1 flu incidences

Description

Usage

Arguments

Format