CHOROPLETH MAP: [Nigerian Population Density Map]
Hi, I'm Leo. A Geomatician and Data Analyst who loves unfolding the metrics of daily human activities.
I recently started a YouTube channel where I share explainer videos on GIS analytical processes. And here I am, starting out a blog for the same purpose.
I'm currently working on adding a host of python libraries to my stack, and I'd be sure to update you as I do.
When I'm not writing codes or crunching numbers to inform Geospatial decisions, you'd find me writing texts on how exactly you can do that. Yes, a Technical Writer.
Here's my Stack: SQL {PostgreSQL, MySQL} Python {NumPy, Pandas, Matplotlib, Seaborn} GIS Applications [QGIS, ArcGIS, Google Earth Pro, AutoCAD]
Aim
The aim of this project is to visualize the population density of states in Nigeria using a choropleth map.
Data Source
The population dataset was obtained from WorldPop. It records the spatial distribution of the population in 2020 with the country's total adjusted to match the corresponding UNPD estimate, Nigeria.
The state boundary data was obtained from Diva-GIS
Result
Using the method of zonal statistics, the sum of population data points within each state boundary was calculated and stored in a new column. The map was further classified into 4 classes of unequal intervals to capture major data shifts. The top ten most populated states are displayed in a table to provide further data insights.
The colour choice was influenced by the country's flag colours; Green and White.
This map is live and can be found on my GitHub profile
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