| 1 -Applying Custom Map Styles with Mapbox.mp4 | 117.3 MB | ||
| 1 -Course Introduction.mp4 | 21.2 MB | ||
| 1 -Interacting with Kepler Demo UI without Code.mp4 | 127.2 MB | ||
| 1 -Streamlit Basics.mp4 | 53.5 MB | ||
| 1 -Why Experiment in Google Colab.mp4 | 23.5 MB | ||
| 1 -kepler.url | 0 B | ||
| 1 -mapbox.url | 0 B | ||
| 1 -streamlit.url | 0 B | ||
| 2 -Base Map and Config Extraction.mp4 | 89.9 MB | ||
| 2 -Data Sources.mp4 | 27 MB | ||
| 2 -Displaying a Base Map in Streamlit.mp4 | 42.8 MB | ||
| 2 -New York Borough Boundaries.url | 102.4 B | ||
| 2 -New York City Taxi Trip Duration.url | 102.4 B | ||
| 2 -Troubleshooting Mapbox Style Issues.mp4 | 23.5 MB | ||
| 3 -Adding Boundary Layers to the Map.mp4 | 83 MB | ||
| 3 -Boundary Layer and Config Extraction.mp4 | 93.5 MB | ||
| 3 -H3 Data Generation.mp4 | 69.9 MB | ||
| 3 -H3 resolution.url | 102.4 B | ||
| 3 -Uber Blog.url | 102.4 B | ||
| 4 - Code and Data for this course.html | 102.4 B | ||
| 4 -Adding Point Layers to the Map.mp4 | 115 MB | ||
| 4 -Point Layer and Config Extraction.mp4 | 108.5 MB | ||
| 5 -Adding H3 Layers to the Map.mp4 | 106.3 MB | ||
| 5 -H3 Layer and Config Extraction.mp4 | 101.3 MB | ||
| 6 -Adding Line Layers to the Map.mp4 | 120.3 MB | ||
| 6 -Line Layer and Config Extraction.mp4 | 218.2 MB | ||
| 7 -Organizing Extracted Config.mp4 | 42.7 MB | ||
| 7 -Setting the Layer Order.mp4 | 65.4 MB | ||
| 8 -Deploying an App with Streamlit Cloud.mp4 | 45.4 MB | ||
| 8 -github.url | 0 B | ||
| 8 -streamlit cloud.url | 0 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 34 total files | |||
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.
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| 491.8 MB | freecoursewb | 1 year | 2 | 5 | |
| 1.5 GB | freecoursewb | 2 years | 7 | 0 | |
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