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edarin committed Oct 15, 2021
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27 changes: 9 additions & 18 deletions index.Rmd
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knitr::opts_chunk$set(echo = TRUE)
```

Statistical population modelling is a powerful tool for producing gridded population estimates that can support census activities. [WorldPop](https://www.worldpop.org/) at the University of Southampton is a global leader in developing these methods and has partnered with the [United Nations Population Fund (UNFPA)](https://www.unfpa.org/) to provide support to national statistics offices in training and production of high-resolution gridded population estimates from existing data sources (e.g. household surveys, building footprints, administrative records, census projections).
Statistical population modelling is a powerful tool for producing gridded population estimates to support census activities. [WorldPop](https://www.worldpop.org/) at the University of Southampton is a global leader in developing these methods and has partnered with the [United Nations Population Fund (UNFPA)](https://www.unfpa.org/) to provide support to national statistics offices in training and production of high-resolution gridded population estimates from existing data sources (e.g. household surveys, building footprints, administrative records, census projections).

This website provides a series of tutorials in Bayesian statistics for population modelling
and hands-on experience to start developing the
necessary skills. It includes example code and other resources designed to
expedite the learning curve as much as possible.
This website provides a series of tutorials in **Bayesian statistics for population modelling** and hands-on experience to start developing the necessary skills. It includes example code and other resources designed to expedite the learning curve as much as possible.

The key concepts that will be covered in
the tutorial series will include:
The key concepts that are covered in the tutorial series include:

1. Introduction to software for Bayesian statistical
modelling:  R and Stan,
1. Introduction to software for Bayesian statistical modelling:  R and Stan,

2. Simple linear regression in a Bayesian context,

3. Random effects to account for settlement type
(e.g. urban/rural) and other types of stratification in survey data,
3. Random effects to account for settlement type (e.g. urban/rural) and other types of stratification in survey data,

4. Quantifying and mapping uncertainties in
population estimates and
4. Quantifying and mapping uncertainties in population estimates and

5. Diagnostics to evaluate model performance (e.g.
cross-validation).
5. Diagnostics to evaluate model performance (e.g. cross-validation).

It has been taught in a remote workshop to the Brazilian Stats Office, Instituto Brasileiro de Geografia e Estatística (IBGE), in October 2021.
The material has been used during a remote workshop with the Brazilian Stats Office, Instituto Brasileiro de Geografia e Estatística (IBGE), in October 2021.

## Material

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# Suggested citation

Darin E, Leasure DR, Tatem AJ. 2021. Statistical population modelling for census support. WorldPop,
University of Southampton
Darin E, Leasure DR, Tatem AJ. 2021. Statistical population modelling for census support. WorldPop, University of Southampton, <https://wpgp.github.io/bottom-up-tutorial/>

<br>

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<h1 class="title toc-ignore">Statistical population modelling for census support</h1>
<h4 class="date">Last compiled on 2021-10-08</h4>
<h4 class="date">Last compiled on 2021-10-15</h4>

</div>


<p><img src="assets/pic/wp_logotype_gray_low.png" /></p>
<p>Statistical population modelling is a powerful tool for producing gridded population estimates that can support census activities. <a href="https://www.worldpop.org/">WorldPop</a> at the University of Southampton is a global leader in developing these methods and has partnered with the <a href="https://www.unfpa.org/">United Nations Population Fund (UNFPA)</a> to provide support to national statistics offices in training and production of high-resolution gridded population estimates from existing data sources (e.g. household surveys, building footprints, administrative records, census projections).</p>
<p>This website provides a series of tutorials in Bayesian statistics for population modelling and hands-on experience to start developing the necessary skills. It includes example code and other resources designed to expedite the learning curve as much as possible.</p>
<p>The key concepts that will be covered in the tutorial series will include:</p>
<p>Statistical population modelling is a powerful tool for producing gridded population estimates to support census activities. <a href="https://www.worldpop.org/">WorldPop</a> at the University of Southampton is a global leader in developing these methods and has partnered with the <a href="https://www.unfpa.org/">United Nations Population Fund (UNFPA)</a> to provide support to national statistics offices in training and production of high-resolution gridded population estimates from existing data sources (e.g. household surveys, building footprints, administrative records, census projections).</p>
<p>This website provides a series of tutorials in <strong>Bayesian statistics for population modelling</strong> and hands-on experience to start developing the necessary skills. It includes example code and other resources designed to expedite the learning curve as much as possible.</p>
<p>The key concepts that are covered in the tutorial series include:</p>
<ol style="list-style-type: decimal">
<li><p>Introduction to software for Bayesian statistical modelling:  R and Stan,</p></li>
<li><p>Simple linear regression in a Bayesian context,</p></li>
<li><p>Random effects to account for settlement type (e.g. urban/rural) and other types of stratification in survey data,</p></li>
<li><p>Quantifying and mapping uncertainties in population estimates and</p></li>
<li><p>Diagnostics to evaluate model performance (e.g. cross-validation).</p></li>
<li><p>Diagnostics to evaluate model performance (e.g. cross-validation).</p></li>
</ol>
<p>It has been taught in a remote workshop to the Brazilian Stats Office, Instituto Brasileiro de Geografia e Estatística (IBGE), in October 2021.</p>
<p>The material has been used during a remote workshop with the Brazilian Stats Office, Instituto Brasileiro de Geografia e Estatística (IBGE), in October 2021.</p>
<div id="material" class="section level2">
<h2>Material</h2>
<ul>
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</div>
<div id="suggested-citation" class="section level1">
<h1>Suggested citation</h1>
<p>Darin E, Leasure DR, Tatem AJ. 2021. Statistical population modelling for census support. WorldPop, University of Southampton</p>
<p>Darin E, Leasure DR, Tatem AJ. 2021. Statistical population modelling for census support. WorldPop, University of Southampton, <a href="https://wpgp.github.io/bottom-up-tutorial/" class="uri">https://wpgp.github.io/bottom-up-tutorial/</a></p>
<p><br></p>
<p><br></p>
<p><img src="assets/pic/320px-UNFPA_logo.svg.png" width="20%" /><img src="assets/pic/wp_logo_gray_low.png" width="20%" /></p>
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