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Advanced Spatial Data Visualization In Python
Released 11/2025
With Milan Janosov, Ph.D.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 39m 16s | Size: 368 MB
Discover advanced techniques in spatial data visualization with Python. Learn how to create interactive, 3D, and temporal map visualizations to tell more engaging spatial stories.
Course details
Explore the cutting-edge field of spatial data visualization with Python. Join Milan Janosov, the founder of Geospatial Data Consulting, for hands-on experience creating interactive, 3D, and temporal map visualizations that bring spatial stories to life.
Milan demonstrates vector and raster visualization techniques, showing how to build a complete framework using Matplotlib and Datashader for urban and large-scale spatial data. Learn how to create interactive maps with Plotly and Folium, and explore 3D mapping techniques using Matplotlib, Plotly, and pydeck to represent spatial geometries in three dimensions. Finally, discover temporal visualizations-static, animated, and interactive-for mapping spatiotemporal datasets.
Designed for data scientists and geospatial practitioners, this advanced course emphasizes real-world applications and practical strategies for evaluating and selecting visualization techniques for different data types and engagement needs.
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Advanced Spatial Data Visualization In Python
