# Morphological Informality Modelled Dataset in Harare, Zimbabwe

The outputs are also visualised on the [IDEAMAP platform](https://www.ideamapsdataecosystem.org/) 

## Overview

The dataset maps the **degree of morphological informality**—a spatial proxy for urban deprivation—based on the built environment structure.  
It classifies every **100×100 m grid cell** into one of three categories:

- **0 – Low Informality:** Buildings are larger, detached from one another, and regularly arranged. 
- **1 – Medium Informality:** Buildings are small and close together OR buildings are irregularly arranged. Roads are moderately present.  
- **2 – High Informality:** Buildings are small and close together AND buildings are irregularly arranged. Roads are hard to visualise, or they are absent.

## File Contents

- model-outputs.csv/ _Main data file_
- dataset-interpretability.md/ _Classifications methods_
- dataset-format.md/ _Explanation about the format of the main data file_
- dataset-metadata.json/ _Metadata of the main data file_
- image-examples/ _Reference images of each category_
- LICENSE.md/ _License_
- CITTATION.cff/ _How to cite this dataset_