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Official Course URL: 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:
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Setup R Environment: Best practices for setting up RStudio, R Projects, and R Markdown.
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R Fundamentals: Syntax, data structures, and functions for spatial analysis.
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Understanding Spatial Data: Differentiate between vector and raster formats.
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Handling Large Spatial Datasets: Techniques for managing data exceeding RAM limits.
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Coordinate Reference Systems: Appropriate selection and application of CRS.
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Vector Data Manipulation: Geometry and spatial operations on vector data.
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Raster Data Analysis: Summarizing raster data for information extraction.
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Automated Data Workflows: Scripting to process and visualize geospatial data.
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Creating Visualizations: Develop interactive maps and visualizations.
???? Course Benefits:
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Expert Instruction: Learn from Dr. Xiao Ping Song, an experienced educator and researcher.
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Hands-on Learning: Engage with downloadable code notebooks and step-by-step walkthroughs.
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Resource Access: Obtain all slides as downloadable PDFs and enjoy lifetime course updates.
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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.