Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

viviwammbachi/School_Accessibility_Analysis_Kenya

Domaine:

geospatialeducation

Type de record:

project
Créateur:
viv
Hôte:
GIS analysis of school distribution and accessibility in Kenya using ArcMap. # School Accessibility Analysis in Kenya Using GIS ## Project Overview This project analyzes the distribution and accessibility of schools in Kenya using Geographic Information System (GIS) techniques. The aim of the project is to understand where schools are located, how accessible they are within selected distance zones, and how school numbers vary across counties. The project was completed using **ArcMap 10.8**. It uses school point data and Kenya county boundary data to produce professional GIS maps for education planning, spatial analysis, and portfolio presentation. ## Project Objectives The main objective of this project was to use GIS to analyze school distribution and accessibility in Kenya. The specific objectives were: - To organize and prepare school and county boundary data for GIS analysis. - To classify schools into primary and secondary school categories. - To map the distribution of primary and secondary schools in Kenya. - To create a 3 km accessibility buffer around primary schools. - To create a 5 km accessibility buffer around secondary schools. - To count the number of schools found in each county using spatial join. - To create a choropleth map showing the number of schools per county. - To design and export professional GIS maps for presentation and portfolio use. ## Study Area The study area is **Kenya**. The analysis uses Kenya county boundaries as the administrative base layer and school point data to show the location and distribution of schools across the country. ## Data Used The project used two main spatial datasets: ### 1. School Point Data The school point dataset contained school locations across Kenya. Each school was represented as a point feature. The dataset included fields such as: - School name - School level - Status - County - District - Sub-county - Ward - X and Y coordinates The school dataset contained **37,930 school records**, classified as: - **Primary Schools:** 29,097 - **Secondary Schools:** 8,833 …

Visit

github.com

Similaires

viviwammbachi/Nairobi_Urban_Inequality_Service_Gap_Analysisviviwammbachi/Drought_Vegetation_Stress_Mapping_Kenyaviviwammbachi/Kenya_Health_Service_Accessibility_Analysis

viviwammbachi/Nairobi_Urban_Inequality_Service_Gap_Analysis

GIS analysis of urban service distribution, service gaps, and ward-level priority intervention areas

viviwammbachi/Drought_Vegetation_Stress_Mapping_Kenya

GIS portfolio project using CHIRPS rainfall and Sentinel-2 NDVI to map drought and vegetation stress

viviwammbachi/Kenya_Health_Service_Accessibility_Analysis

GIS and Python data analysis project assessing county-level health service accessibility, facility p