Cartographic Representation of Social Inequalities in Urban Space Using GIS Technique

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. Introduction

Define social inequality in urban contexts (e.g., income, education, housing, health).

Explain why mapping these inequalities is important for policy and planning.


 Objectives:

To spatially analyze disparities in urban services and living conditions.

To visually communicate inequality through GIS-based cartographic tools.


 Literature Review

Review works on spatial inequality, urban geography, and GIS applications.


A map

Demographic background

Socio-economic context

Satellite imagery 


. Methodology

a. Data Collection

Spatial Data:

Administrative boundaries (wards, districts, etc.) Road networks, public transport, land use


Socioeconomic Data:

Population density

Income levels

Unemployment rates

Educational attainment

Housing quality or informal settlements

Crime rates

Health facility locations


Sources:

National census bureaus

City development plans

UN-Habitat, World Bank, OpenStreetMap

Household surveys use (ODK, Kobocollect)

Local NGOs or government departments


b. Data Processing in GIS

Georeferencing and cleaning data

Creating spatial layers (vector or raster)

Performing spatial joins and overlays

Calculating inequality indices (e.g., Gini Index, Theil Index)


c. Cartographic Techniques

Choropleth maps for income, education, etc.

Heatmaps for crime or service access

Dasymetric mapping for refined population distributions

Composite index maps using weighted overlap 


. Analysis

Identify spatial patterns of inequality (e.g., clusters of poverty)

Compare access to infrastructure/services across neighborhoods

Discuss urban planning implication 


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