units_belgium

<p>An object of class <code>sf</code> with the small spatial units of Belgium (based on data from the <a href="https://statbel.fgov.be/nl/open-data/statistische-sectoren-2024">Algemene Directie Statistiek - Statistics Belgium</a>). The data is aggregated to municipal level and converted to the Mollweide projection with the following code:</p>
<p><div class="sourceCode r"></div></p><pre><code># read the data
statsec &lt;- st_read('sh_statbel_statistical_sectors_31370_20240101.geojson')<p></p><p># aggregate units to munipal level and rename variables
units_belgium &lt;- statsec %&gt;%
  group_by(cd_munty_refnis) %&gt;%
  summarise(UID = first(as.integer(cd_munty_refnis)),
            GID_0 = first(cd_country),
            NAME_0 = 'Belgium',
            GID_1 = first(cd_rgn_refnis),
            NAME_1 = first(tx_rgn_descr_nl),
            GID_2 = first(cd_prov_refnis),
            NAME_2 = first(tx_prov_descr_nl),
            GID_3 = first(cd_dstr_refnis),
            NAME_3 = first(tx_adm_dstr_descr_nl),
            GID_4 = first(cd_munty_refnis),
            NAME_4 = first(tx_munty_descr_nl)
  )</p><p># simplify geometries and convert to Mollweide
units_belgium &lt;- units_belgium %&gt;% select(-cd_munty_refnis) %&gt;%
  rmapshaper::ms_simplify() %&gt;%
  st_transform('ESRI:54009') %&gt;%
  rename(geom = geometry)
</p></code></pre><p></p>

datasets

Enables the construction of flexible urban delineations that
can be tailored to specific applications or research questions, see Van
Migerode et al. (2024) <DOI:10.1177/23998083241262545> and Van Migerode
et al. (2025) <DOI:10.5281/zenodo.15173220>.
Originally developed to flexibly reconstruct the Degree of
Urbanisation classification of cities,
towns and rural areas developed by Dijkstra et al.
(2021) <DOI:10.1016/j.jue.2020.103312>. Now it also support a broader
range of delineation approaches, using multiple datasets – including
population, built-up area, and night-time light grids – and different
thresholding methods.

Céline Van Migerode

flexurba

Construct Flexible Urban Delineations

Ate Poorthuis

Ben Derudder

KU Leuven 

FWO 

units_belgium function


<div class="section" id="units-belgium">
<h3><code>units_belgium</code></h3><p></p><p>
</p><p>A object of class <code>sf</code> with spatial units for Belgium</p>
</div>


Format

<p>An object of class <code>sf</code> with the small spatial units of Belgium (based on data from the <a href='https://statbel.fgov.be/nl/open-data/statistische-sectoren-2024'>Algemene Directie Statistiek - Statistics Belgium</a>). The data is aggregated to municipal level and converted to the Mollweide projection with the following code:</p>
<p><div class="sourceCode r"></p><pre><code># read the data
statsec &lt;- st_read('sh_statbel_statistical_sectors_31370_20240101.geojson')

# aggregate units to munipal level and rename variables
units_belgium &lt;- statsec %&gt;%
  group_by(cd_munty_refnis) %&gt;%
  summarise(UID = first(as.integer(cd_munty_refnis)),
            GID_0 = first(cd_country),
            NAME_0 = 'Belgium',
            GID_1 = first(cd_rgn_refnis),
            NAME_1 = first(tx_rgn_descr_nl),
            GID_2 = first(cd_prov_refnis),
            NAME_2 = first(tx_prov_descr_nl),
            GID_3 = first(cd_dstr_refnis),
            NAME_3 = first(tx_adm_dstr_descr_nl),
            GID_4 = first(cd_munty_refnis),
            NAME_4 = first(tx_munty_descr_nl)
  )

# simplify geometries and convert to Mollweide
units_belgium &lt;- units_belgium %&gt;% select(-cd_munty_refnis) %&gt;%
  rmapshaper::ms_simplify() %&gt;%
  st_transform('ESRI:54009') %&gt;%
  rename(geom = geometry)
</code></pre><p></div></p>

Spatial units of Belgium — units_belgium


<div class='section' id='units-belgium'>
<h3><code>units_belgium</code></h3>


<p>A object of class <code>sf</code> with spatial units for Belgium</p>
</div>


units_belgium: Spatial units of Belgium

Description

Usage

Arguments

Format

`units_belgium`