EV Analysis Project

Comprehensive Spatial Analysis of Electric Vehicle Infrastructure

Project Overview

A comprehensive spatial analysis project focused on Electric Vehicle (EV) infrastructure, adoption patterns, and related socio-economic factors using Geographic Information Systems (GIS). This project combines demographic, economic, infrastructure, and satellite data to provide insights into EV accessibility and adoption patterns in Lahore.

Key Features

Spatial Analysis

Analyze EV infrastructure distribution and accessibility patterns across geographic regions.

Demographic Integration

Correlate EV adoption with demographic factors using 2023 Lahore Census Data.

Economic Analysis

Examine relationships between economic indicators and EV infrastructure development.

Satellite Data Processing

Utilize satellite imagery for land use analysis and urban planning insights.

Interactive Mapping

Generate interactive and static maps for comprehensive data visualization.

Comprehensive Reporting

Automated report generation with key findings and actionable insights.

Technology Stack

Python

Data Processing & Analysis

GIS Software

QGIS / ArcGIS

OpenStreetMap

Geospatial Data Source

Census Data

Demographic Analysis

EV Suitability Analysis Map

Interactive Map: Click on markers and zones to explore detailed EV infrastructure analysis for Lahore

Project Structure

data/
Processed data ready for analysis
boundaries/ Geographic boundary files
demographics/ Population data
economic/ Economic indicators
infrastructure/ EV stations, roads
satellite/ Satellite imagery
raw_data/
Original, unprocessed data files
scripts/
Analysis scripts and code
outputs/
Final project outputs
maps/ Publication-ready maps
reports/ Final reports
docs/
Project documentation