Spatial Analysis Using Python Modules

Challenge yourself with versatile Python
Map-based spatial analysis + visualization! 🧭

spatial data analysis ,
It's not difficult, right?

In this lecture 📖

Among various data analysis processes, spatial analysis is performed to analyze location and geographic data.
Based on the programming language Python, you will learn how to visualize data and draw analytical conclusions using Folium, Google Cloud APIs, and other tools.

Even beginners new to spatial data analysis can benefit. Instead of relying on complex visualization tools or GIS-specific analysis tools, try out a familiar Python library for a fun way to analyze spatial data!

Lecture Learning Objectives
Check it out 📜

• Basic Learning of Spatial Data Analysis
• Introduction to Folium and basic function practice (add markers, cluster, change tiles, etc.)
• Administrative district notation and mapping data analysis
• Overview and Usage of the Geocoding API
• Loading Public Data and Geocoding Conversion
• Handling Real-World Geo Data (Subway Passenger Count Dataset)
• Preprocessing subway station name data and calculating the total number of passengers getting on and off.
• Data extraction and Folium visualization by district
• The importance of visualizing and normalizing other statistics, and analyzing patterns.

How you will look after taking this course ✨

Learn the basics of using Folium for spatial data analysis.

You can use various data-related functions provided by Folium.

You can preprocess/convert and utilize Geo Data using the Geocoding API.

You can perform map visualization and spatial analysis using real public data.

Lecture contents
Check it out in advance! 💻