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30 Days of Maps Day 8 - Humanitarian Data Exchange (HDX)

· 2 min read
James Dales
James Dales
Co-founder of Tekantis

We're onto day 8 of the #30DayMapChallenge.

The theme for today's map is Humanitarian Data Exchange (HDX) - *Use data from HDX to map humanitarian topics. Explore the datasets from the Humanitarian Data Exchange, covering disaster response, health, population, and development. Map for social good. *

The dataset caught my eye as it's vast! I'm using the Global Population Density for 400m H3 Hexagons dataset from Kontur. I then limited to the Central American countries which is still 286,422 rows of data. As we've seen from previous challenges, more than 30,000 rows is a challenge for Power BI. I've used a forthcoming version of Icon Map Pro that will enable more H3 hexagons to be displayed on the map - in this case nearly 300,000.

The earlier challenge where I used H3 hexagons, Icon Map Pro generated the H3 cells based on aggregating longitude and latitude coordinates, whereas in this case, the data is provided as 2 columns - H3 Cell Index and Population in that cell. Icon Map Pro natively supports these cell IDs so the map configuration is really easy and only requires these 2 fields. I also overlaid a shape file with the country outlines in too, and added a Power BI slicer to zoom to specific countries.

If you'd like to see how the report was built, you can download it here.