# Road Access Deprivation Modelled Dataset in Lagos, Nigeria

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

## Overview

The dataset maps the **degree of road access deprivation**—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:** The road network is paved and in good condition. The majority of buildings in these areas are directly connected to motorable roads. 
- **1 – Medium Informality:** Roads are unpaved but motorable. Most buildings are directly connected to roads, meaning no buildings block their access to the road network.  
- **2 – High Informality:** Motorable roads are sparse. Most buildings have only indirect access to the road network via paths, meaning more than one building is generally located between a building and its nearest road.

## File Contents

- model-outputs.csv/ _Main data file_
- dataset-format.md/ _Explanation about the format of the main data file_
- model-interpretability.md/ _Classifications methods_
- model-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_