massylll/Algerian-GIS-Data-Acquisition-and-Analysis

A complete GIS workflow for acquiring, processing, and analyzing geospatial data. Includes healthcare accessibility analysis for Algiers using Voronoi diagrams and K-means clustering to identify underserved areas and propose new hospital locations. # Algerian GIS Data Acquisition and Analysis **Geospatial Data Acquisition and Analysis for Healthcare Accessibility in Algeria** Practical work and a final project from the GIS-EDG module focusing on acquiring, structuring, and analyzing geospatial data using open data sources (OpenStreetMap, Google Maps) and ArcGIS. --- ## Overview This repository contains practical work covering: 1. Creating and organizing GIS data directories 2. Exploring and manipulating shapefiles (visualization, search, metadata) 3. Modifying coordinate systems and analyzing impact 4. Creating geodatabases and shapefiles 5. Renseignement metadata according to SIG standards 6. Data acquisition from OpenStreetMap and Google Maps 7. Healthcare accessibility analysis for Algiers wilaya --- ## Key Features ### Data Acquisition Methods - **OpenStreetMap (OSM)** via Overpass API, OSMnx, and ArcGIS Editor for OSM - **Google Maps** via Instant Data Scraper and Google My Maps - **uMap** for custom map creation and data export (GeoJSON, KML, GPX, CSV) - **Address geocoding** with Geopy (Nominatim) - **Data conversion** using Mapshaper (GeoJSON to Shapefile) ### Healthcare Accessibility Analysis - **Hospital Distribution** – Hospitals in Algiers wilaya classified by capacity (Grande/Moyenne/Petite) - **Voronoi Diagram** – Population coverage per hospital - **Proximity Analysis** – Communes >10km from nearest hospital (6 communes, 207,499 people affected) - **Case Study** – Stroke victim in Ouled Chebel: intervention time 68–137 minutes - **Spatial Clustering** – K-means identified 3 underserved clusters in Algiers ### Thematic Mapping - Population growth rate by wilaya - Mortality rate by wilaya - Healthcare distribution at national scale (hospitals, clinics, dispensaries) - Custom symbology (graduated symbols, charts, predefined styles) --- ## Dataset Contents ### TP01 - Partie 1 - **Data Source**: Geofabrik (Algeria shapefiles) - **Shapefiles explored**: Buildings, Landuse, Roads - * …