Interactive Map Visualization with Kepler GL and Streamlit
https://DevCourseWeb.com
Published 11/2024
Created by Kyla Kim
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 56m ) | Size: 1.65 GB
Visualizing Maps with Kepler GL, Sharing Maps with Streamlit, and Customizing Map Styles with Mapbox
What you'll learn
Mastering Kepler GL UI: Use the Kepler GL to understand the basics of the UI and how to interact with it for map visualization tasks.
Kepler GL Config Extraction: Visualize various data types (Basic Map, Boundary, Point, H3, Line), and extract their configurations.
Sharing Map Visualizations with Streamlit: Use Streamlit to share maps with other users effectively.
Customizing Map Styles with Mapbox: Apply custom map styles using Mapbox to create unique and personalized visualizations.
H3 Data Generation: Learn how to convert point data into hexagon data, preparing for efficient spatial data visualization.
Requirements
Basic Python skills required: Familiarity with Python, pip for library installation, and basic GitHub usage will make it easier to follow this course.