Geospatial Visualization

Visualization of geographic data and spatial patterns.

Geospatial visualization allows you to represent data on maps and analyze spatial patterns. From heatmaps to choropleth maps, from point maps to route visualization – geospatial visualization is a powerful tool for understanding data with a geographical context and applying it in machine learning.

Tools: Folium, GeoPandas

Application: Density, intensity.

Tools: Folium, Plotly

live demo · related simulation● LIVE

Advantages: Interactive, web maps

Type: Geospatial analysis.

Foundation: Pandas + Shapely

Frequently asked questions

How can you create an interactive map?

What is a choropleth map?

How do you use Folium for creating interactive maps?

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation