homework_3

[alexanderquispe]

Homework Assignment: Geospatial Analysis of Schools in Peru

1. Repository Setup

• Create a new GitHub repository for your project. The repo has to be public, and the name should be "High-School-Access-Peru"
• Use the Rodrigo John Paradox repository as a template.

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2. Geospatial Analysis with GeoPandas

📥 Download the Dataset

Download the Excel file from the link while following the guidelines shown in the screenshot. Leave it just as it appears in the screenshot: "Seleccionar" for Department, "Seleccionar" for Province, and "Seleccionar" for District. Then click on "Buscar" and proceed to export the Excel file with the data.

• Use the Schools dataset provided (or indicated by the instructor). [Link]

(https://sigmed.minedu.gob.pe/mapaeducativo/)

Follow the same format as the image for your Streamlit website.
Data Description | Static Maps | Dynamic Maps

🗺️ Task 1: Static Maps by School Level - for all districts in the country

Create 3 static maps showing the distribution of schools by district:

• One for Inicial
• One for Primaria
• One for Secundaria

For each map:

• Count and sum the total number of schools per district.
• Use GeoPandas to plot the results.

📍 Task 2: Proximity Analysis

Regions to Analyze:

• Huancavelica
• Ayacucho

Instructions:

1. For each primary school, create a 5 km radius.
2. Count how many high schools fall within this radius.
3. Use the centroid of each primary school as the center of the circle.
4. Identify:
   • The primary school with the fewest high schools nearby.
   • The primary school with the most high schools nearby.
5. Plot the following using GeoPandas:
   • The selected primary school (centroid)
   • The 5 km circumference
   • All high schools within the circle

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3. Interactive Mapping with Folium

🗺️ Task 1: Choropleth Maps - For all the districts in the country

Create a Folium choropleth map with three layers, one for each school level:

• Layer 1 — Inicial
• Layer 2 — Primaria
• Layer 3 — Secundaria

Use the same count-sum logic per district as in GeoPandas.

📍 Task 2: High School Proximity Visualization - Only for Huancavelica and Ayacucho

Using Folium and OpenStreetMap layers, recreate the proximity plots from GeoPandas:

• The primary school with the fewest and most nearby high schools.
• Show:
  • The centroid primary school
  • The 5 km radius
  • All high schools inside the radius

📝 Include a short written analysis describing the geographic context of these two cases. Consider:

• Terrain
• Accessibility
• Urban vs. rural characteristics

Example:

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4. Application Deployment with Streamlit

Create a Streamlit app with three main tabs:

🗂️ Tab 1: Data Description

• Describe the unit of analysis
• Explain data sources
• Mention any assumptions or preprocessing

🗺️ Tab 2: Static Maps

• Embed your GeoPandas static maps.

🌍 Tab 3: Dynamic Maps

• Include interactive maps using Folium + GeoPandas

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📌 Notes

• Use clean and reproducible code.
• Follow best practices for data visualization and analysis.
• Comment your code clearly to explain each step.
• Don't forget to include your link in the repository.
• In the data description, they can perform the analysis on schools in Peru

📅 Deadline: [30/04/2025]

Example Outputs

Data Decription

Maps Statics

Maps Dinamycs

In this case, 2 primary schools were found with 22 secondary schools around them (green circle), and several primary schools without any secondary schools within a 5 km radius (red circle).

Don't forget to upload the link to your repository in the following Drive (your website must be linked).
https://docs.google.com/spreadsheets/d/1vrmzJIMM2Q7l9QTmqRsHGb6af6w6nXROe9yIuSl4WLE/edit?gid=0#gid=0