[Udemy] Geospatial Data Science with R
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[Udemy] Geospatial Data Science with R
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Category: Other
Total size: 413.36 MB
Added: 2025-03-10 23:39:06
Share ratio:
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5 leechers
Info Hash: 7524A7D3E13470468504180127CE97BB859A173F
Last updated: 14.4 hours ago
Description:
Official Course URL: https://www.udemy.com/course/geospatial-datascience-r/
Course Overview:
Embark on a comprehensive journey into the world of geospatial data science with Geospatial Data Science with R. Designed for all skill levels, this course equips you with the knowledge to effectively work with spatial data for real-world applications, using the open-source R programming environment.
What You'll Learn:
- Setup R Environment: Best practices for setting up RStudio, R Projects, and R Markdown.
- R Fundamentals: Syntax, data structures, and functions for spatial analysis.
- Understanding Spatial Data: Differentiate between vector and raster formats.
- Handling Large Spatial Datasets: Techniques for managing data exceeding RAM limits.
- Coordinate Reference Systems: Appropriate selection and application of CRS.
- Vector Data Manipulation: Geometry and spatial operations on vector data.
- Raster Data Analysis: Summarizing raster data for information extraction.
- Automated Data Workflows: Scripting to process and visualize geospatial data.
- Creating Visualizations: Develop interactive maps and visualizations.
Course Benefits:
- Expert Instruction: Learn from Dr. Xiao Ping Song, an experienced educator and researcher.
- Hands-on Learning: Engage with downloadable code notebooks and step-by-step walkthroughs.
- Resource Access: Obtain all slides as downloadable PDFs and enjoy lifetime course updates.
- Certification: Earn a certificate of completion to validate your skills.
Total Hours of Course: 4 hours 0 minutes
Course Size: 413.3 MB
Subtitles: English, Persian
Who is this course for? Ideal for beginners stepping into coding through geospatial data, researchers, or developers keen on leveraging spatial data within the R ecosystem