Population density overlays

Population Density Overlays
Population density layers are available as a map layer option for most countries, visible at the city and district zoom levels. 

You can overlay any other data accessible to you in mWater, such as water points, with this layer. You can also query this data in your dashboards and datagrids by using the Population Within expression

You can also query this data in your maps, dashboards and datagrids. Learn more about how to do this here.
This population density data is sourced from the Humanitarian Data Exchange and shared under a Creative Commons license (CC BY 4.0).  The data is derived from satellite imagery using machine learning cross-referenced with census data and it is due to be updated every 3 months. New countries are periodically being added to the dataset.

Creating Population Density Layers

1) Edit a Map 
2) Select Population Density from the Advanced layer options 

Zoom down to the city or district level to make the population density view visible. 

Select Population Density from Advanced layer options
Select Population Density from Advanced layer options
Zoom to the city or district level to see population density
Zoom to the city or district level to see population density

Examples: Twenty African Cities

Use these ready-made maps to explore the population densities of twenty of the largest cities in Africa:
Lagos
Kinshasha
Cairo
Alexandria
Abidjan
Kano
Ibadan
Cape Town
Durban
Luanda
Nairobi
Dar es Salaam
Dakar
Johannesburg
Algiers
Accra
Conakry
Pretoria
Kaduna
Harare
Note: You can Duplicate the maps for your own use and start adding your own layers.

More Information

Population density layers in mWater build on the pioneering machine learning work done by Columbia University's Center for International Earth Science Information Network (CIESIN) in collaboration with Facebook researchers.

In mWater, this publicly shared data has been projected into WGS 84 Web Mercator and included in the mapping library to be made available as map layers in all visualizations. These layers can be used with any other map layers in the platform to deepen analyses.
Image: Facebook / EOX Sentinel-2 cloudless
Image: Facebook / EOX Sentinel-2 cloudless
Read more about the project here: https://ai.facebook.com/blog/mapping-the-world-to-help-aid-workers-with-weakly-semi-supervised-learning/
The source data is available on HDX here: https://data.humdata.org/organization/facebook

Video guide


Feedback or comments? Get in touch at info@solstice.world or info@mwater.co
Updated: 2021-02-03 Petri Autio