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<title>IPUMS DHS Spatial Analysis and Health Research Hub</title>
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<description>Understand population health in its environmental context</description>
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<item>
  <title>Introduction on using remotely sensed data to measure deforestation</title>
  <dc:creator>Devon Kristiansen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-07-07-deforestation/</link>
  <description><![CDATA[ If you read our three-part series on remotely-sensed vegetative indices and land cover data, you might be wondering, what’s next? One application is to measure long term change in forest cover over certain areas. ]]></description>
  <category>Land Cover</category>
  <category>Forest Cover</category>
  <category>terra</category>
  <category>Deforestation</category>
  <category>R</category>
  <category>ggspatial</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-07-07-deforestation/</guid>
  <pubDate>Tue, 07 Jul 2026 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Access to Healthcare Part 3</title>
  <dc:creator>Grace Cooper</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-06-05-distance-pt3/</link>
  <description><![CDATA[ Spatial accessibility to healthcare, a known barrier to healthcare utilization<span class="citation" data-cites="bain_prevalence_2022"><sup>1</sup></span> which leads to poor health<span class="citation" data-cites="yao_geographical_2013"><sup>2</sup></span>, is understudied in the regions that need it most, such as rural sub-Saharan Africa, due to lack of adequate road network and population data. Spatial accessibility models that account for more complex influences on spatial access, such as distance decay and supply and demand of services (i.e.&nbsp;gravity models such as the Two-Step Floating Catchment Area (2SFCA) model), typically depend on vector-based data that is less available in areas with the most vulnerable populations. Vector-based data include census population counts aggregated to administrative units and road network data. Global gridded population datasets (publicly available, high resolution population estimates), are becoming more widely used in social and population health studies<span class="citation" data-cites="chen_geographic_2017"><sup>3</sup></span>, however they continue to be underutilized in spatial accessibility to health models<span class="citation" data-cites="shao_supply-demand_2022 tao_hierarchical_2020 bryant_examination_2019"><sup>4–6</sup></span>. This post describes an innovative method researchers can use to incorporate gridded population, land cover, and elevation data into a 2SFCA model for use in any region in the world, regardless of administrative data availability. ]]></description>
  <category>Health care</category>
  <category>Accessibility</category>
  <category>Distance models</category>
  <category>Gravity models</category>
  <category>Population density</category>
  <category>Network analysis</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-06-05-distance-pt3/</guid>
  <pubDate>Fri, 05 Jun 2026 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Access to Healthcare Part 2: The 2SFCA Model</title>
  <dc:creator>Grace Cooper</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-05-15-distance-pt2/</link>
  <description><![CDATA[ Health outcomes and healthcare utilization rates are influenced by spatial accessibility to health, especially in rural areas of developing countries. This second post in a series of three describes one of the most effective ways to measure spatial accessibility: the Two-Step Floating Catchment Area (2SFCA) Model. ]]></description>
  <category>Health care</category>
  <category>Accessibility</category>
  <category>Distance models</category>
  <category>Gravity models</category>
  <category>Population density</category>
  <category>Network analysis</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-05-15-distance-pt2/</guid>
  <pubDate>Fri, 15 May 2026 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Access to Healthcare Part 1: How it is Measured</title>
  <dc:creator>Grace Cooper</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-03-25-health-care-distance/</link>
  <description><![CDATA[ Many people in developing countries experience poor health as a result of poor spatial access to clinics and hospitals. Our understanding of how to improve global health is limited by our ability to measure healthcare accessibility. ]]></description>
  <category>Health care</category>
  <category>Accessibility</category>
  <category>Distance models</category>
  <category>Gravity models</category>
  <category>Population density</category>
  <category>Network analysis</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-03-25-health-care-distance/</guid>
  <pubDate>Wed, 25 Mar 2026 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Vegetation and Land Cover Part 3: Land Cover/Land Use</title>
  <dc:creator>Devon Kristiansen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-03-13-land-cover-pt3/</link>
  <description><![CDATA[ An almost overwhelming number of vegetative and land cover data types exist. This post describes and compares sources of land cover data, as the final installment of a series of three. ]]></description>
  <category>Land cover</category>
  <category>Land Use Change Dynamics</category>
  <category>Agriculture</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-03-13-land-cover-pt3/</guid>
  <pubDate>Fri, 13 Mar 2026 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Vegetation and Land Cover Part 2: Environmental Moisture</title>
  <dc:creator>Devon Kristiansen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-03-02-land-cover-pt2/</link>
  <description><![CDATA[ An almost overwhelming number of vegetative and land cover data types exist. This second post of three describes a few common indices representing vegetative or soil moisture, with an emphasis on agricultural productivity. ]]></description>
  <category>WRSI</category>
  <category>Agriculture</category>
  <category>Seasonality</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-03-02-land-cover-pt2/</guid>
  <pubDate>Mon, 02 Mar 2026 06:00:00 GMT</pubDate>
</item>
<item>
  <title>Vegetation and Land Cover Part 1: Vegetative Indices</title>
  <dc:creator>Devon Kristiansen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2026-02-06-land-cover-intro/</link>
  <description><![CDATA[ An almost overwhelming number of vegetative and land cover data types exist. As the first post in a series of three, this blog gives a brief primer into vegetative indices and which ones might be most appropriate for different research goals. ]]></description>
  <category>NDVI</category>
  <category>LAI</category>
  <category>VCF</category>
  <category>Agriculture</category>
  <category>Seasonality</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2026-02-06-land-cover-intro/</guid>
  <pubDate>Fri, 06 Feb 2026 06:00:00 GMT</pubDate>
</item>
<item>
  <title>Multilevel Dietary Diversity using DHS data</title>
  <dc:creator>Devon Kristiansen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-11-21-diet-diversity-ndvi/</link>
  <description><![CDATA[ A follow-up post on using a comparable measure of dietary diversity in a multilevel model including NDVI contextual information in the model. ]]></description>
  <category>Nutrition</category>
  <category>Integrated geography</category>
  <category>Comparable indicators</category>
  <category>Multilevel models</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-11-21-diet-diversity-ndvi/</guid>
  <pubDate>Fri, 21 Nov 2025 06:00:00 GMT</pubDate>
</item>
<item>
  <title>Using Historical and Projected Climate Data to Forecast Child Malnutrition</title>
  <dc:creator>Rebecca Luttinen</dc:creator>
  <dc:creator>Jessie Pinchoff</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-10-24-forecasting-pt4/</link>
  <description><![CDATA[ In the final post in our series on future estimation we create a model to predict child malnutrition and plug in projected climate scenario data to predict a future level of child malnutrition. ]]></description>
  <category>Climate</category>
  <category>Scenarios</category>
  <category>Temperature</category>
  <category>R</category>
  <category>Nutrition</category>
  <category>Forecasts</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-10-24-forecasting-pt4/</guid>
  <pubDate>Fri, 24 Oct 2025 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Harnessing CHC-CMIP6 Climate Scenario Data to Explore the Future</title>
  <dc:creator>Rebecca Luttinen</dc:creator>
  <dc:creator>Jessie Pinchoff</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-09-05-forecasting-pt3/</link>
  <description><![CDATA[ Returning to our series on future estimation, we provide an overview of a data source for future climate scenarios. ]]></description>
  <category>Climate</category>
  <category>Scenarios</category>
  <category>Temperature</category>
  <category>R</category>
  <category>CHIRTS</category>
  <category>Comparison</category>
  <category>GGSPATIAL</category>
  <category>Terra</category>
  <category>SF</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-09-05-forecasting-pt3/</guid>
  <pubDate>Fri, 05 Sep 2025 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2025-09-05-forecasting-pt3/images/clipboard-1796866763.png" medium="image" type="image/png" height="111" width="144"/>
</item>
<item>
  <title>Measuring Dietary Diversity using DHS data</title>
  <dc:creator>Devon Kristiansen</dc:creator>
  <dc:creator>Rebecca Luttinen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-08-06-intro-diet-diversity/</link>
  <description><![CDATA[ An introduction to constructing comparable dietary diversity indicators. This post breaks away from the series on future conditions, with the first post of two on dietary diversity. ]]></description>
  <category>Nutrition</category>
  <category>Integrated geography</category>
  <category>Comparable indicators</category>
  <category>Trends</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-08-06-intro-diet-diversity/</guid>
  <pubDate>Wed, 06 Aug 2025 05:00:00 GMT</pubDate>
</item>
<item>
  <title>Estimating the now and predicting the future: Fertility rate estimation and population projection</title>
  <dc:creator>Rebecca Luttinen</dc:creator>
  <dc:creator>Elizabeth Heger Boyle</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-06-03-forecasting-pt2/</link>
  <description><![CDATA[ Use the DHS to estimate fertility levels and project future population levels ]]></description>
  <category>Projections</category>
  <category>Population</category>
  <category>Fertility</category>
  <category>Methodology</category>
  <category>R</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-06-03-forecasting-pt2/</guid>
  <pubDate>Tue, 03 Jun 2025 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2025-06-03-forecasting-pt2/images/family.jpg" medium="image" type="image/jpeg"/>
</item>
<item>
  <title>Anticipating the Future: Important terminology</title>
  <dc:creator>Molly Brown</dc:creator>
  <dc:creator>Rebecca Luttinen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-04-23-forecasting-pt1/</link>
  <description><![CDATA[ Part 1 in our series exploring climate and population projections in health research ]]></description>
  <category>Projections</category>
  <category>Scenarios</category>
  <category>Forecasts</category>
  <category>Predictions</category>
  <category>Population</category>
  <category>Methodology</category>
  <category>Research concepts</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-04-23-forecasting-pt1/</guid>
  <pubDate>Wed, 23 Apr 2025 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2025-04-23-forecasting-pt1/images/image1.png" medium="image" type="image/png" height="99" width="144"/>
</item>
<item>
  <title>From MODIS to VIIRS: The Latest Source for NDVI Data</title>
  <dc:creator>Finn Roberts</dc:creator>
  <dc:creator>Rebecca Luttinen</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2025-03-31-viirs/</link>
  <description><![CDATA[ Update your NDVI workflows with NASA’s newest instruments ]]></description>
  <category>NDVI</category>
  <category>VIIRS</category>
  <category>MODIS</category>
  <category>NASA</category>
  <category>Agriculture</category>
  <category>Food production</category>
  <category>Importing Data</category>
  <category>R</category>
  <category>Reproducible workflows</category>
  <category>terra</category>
  <category>rhdf5</category>
  <category>stringr</category>
  <category>purrr</category>
  <category>ggspatial</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2025-03-31-viirs/</guid>
  <pubDate>Mon, 31 Mar 2025 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2025-03-31-viirs/index_files/figure-html/listing-img-1.png" medium="image" type="image/png" height="115" width="144"/>
</item>
<item>
  <title>Incorporating Qualitative Methods into Spatial Health Research</title>
  <dc:creator>Kathryn Grace</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2024-12-06-qualitative-methods/</link>
  <description><![CDATA[ Spatiotemporal research is enhanced when guided by local knowledge, perspective, and expertise. ]]></description>
  <category>Qualitative methods</category>
  <category>Extreme weather</category>
  <category>Methodology</category>
  <category>Research concepts</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2024-12-06-qualitative-methods/</guid>
  <pubDate>Fri, 06 Dec 2024 06:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2024-12-06-qualitative-methods/images/flowchart.png" medium="image" type="image/png" height="121" width="144"/>
</item>
<item>
  <title>Using QGIS for Spatial Data Analysis</title>
  <dc:creator>Ankit Sikarwar</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2024-10-25-qgis/</link>
  <description><![CDATA[ Standalone GIS software can provide an interactive alternative to code-based analysis workflows ]]></description>
  <category>GIS</category>
  <category>QGIS</category>
  <category>Open-source software</category>
  <category>CHIRTS</category>
  <category>Geoprocessing</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2024-10-25-qgis/</guid>
  <pubDate>Fri, 25 Oct 2024 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2024-10-25-qgis/images/Fig4.png" medium="image" type="image/png" height="76" width="144"/>
</item>
<item>
  <title>Using Leaflet for Exploratory Data Analysis: Part 2</title>
  <dc:creator>Finn Roberts</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2024-09-30-leaflet-pt2/</link>
  <description><![CDATA[ Exploring customization options for leaflet maps ]]></description>
  <category>Cartography</category>
  <category>Population density</category>
  <category>Urbanization</category>
  <category>Interactivity</category>
  <category>Longitudinal data</category>
  <category>R</category>
  <category>leaflet</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2024-09-30-leaflet-pt2/</guid>
  <pubDate>Mon, 30 Sep 2024 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2024-09-30-leaflet-pt2/images/listing-img.png" medium="image" type="image/png" height="111" width="144"/>
</item>
<item>
  <title>Using Leaflet for Exploratory Data Analysis: Part 1</title>
  <dc:creator>Finn Roberts</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2024-09-13-leaflet-pt1/</link>
  <description><![CDATA[ An introduction to interactive mapping using the leaflet package ]]></description>
  <category>Cartography</category>
  <category>Population density</category>
  <category>Urbanization</category>
  <category>Longitudinal data</category>
  <category>R</category>
  <category>leaflet</category>
  <category>terra</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2024-09-13-leaflet-pt1/</guid>
  <pubDate>Fri, 13 Sep 2024 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2024-09-13-leaflet-pt1/images/listing-img.png" medium="image" type="image/png" height="91" width="144"/>
</item>
<item>
  <title>Measuring Population Density</title>
  <dc:creator>Grace Cooper</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2024-08-30-pop-density/</link>
  <description><![CDATA[ An introduction to gridded data sources used to measure human presence across the globe ]]></description>
  <category>Population</category>
  <category>Population density</category>
  <category>Urbanization</category>
  <category>Data sources</category>
  <category>GRUMP</category>
  <category>GHSL</category>
  <category>LandScan</category>
  <category>WorldPop</category>
  <category>Research concepts</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2024-08-30-pop-density/</guid>
  <pubDate>Fri, 30 Aug 2024 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2024-08-30-pop-density/images/listing-img.png" medium="image" type="image/png" height="140" width="144"/>
</item>
<item>
  <title>Aggregation Methods for NDVI Data</title>
  <dc:creator>Finn Roberts</dc:creator>
  <link>https://ipums.github.io/dhs-research-hub/posts/2024-08-16-ndvi-data-2/</link>
  <description><![CDATA[ We use data from two regions to illustrate approaches to processing NDVI data ]]></description>
  <category>NDVI</category>
  <category>Seasonality</category>
  <category>Climatological normals</category>
  <category>Agriculture</category>
  <category>Extreme weather</category>
  <category>Food production</category>
  <category>R</category>
  <category>Time series</category>
  <category>terra</category>
  <category>ggspatial</category>
  <category>sf</category>
  <guid>https://ipums.github.io/dhs-research-hub/posts/2024-08-16-ndvi-data-2/</guid>
  <pubDate>Fri, 16 Aug 2024 05:00:00 GMT</pubDate>
  <media:content url="https://ipums.github.io/dhs-research-hub/posts/2024-08-16-ndvi-data-2/index_files/figure-html/listing-img-1.png" medium="image" type="image/png" height="115" width="144"/>
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