[Udemy] Geospatial Data Science with R

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Geospatial Data Science with R
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Description

? Request a Course: ? docs.google.com/forms

? 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:
- ?️ 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.



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[Udemy] Geospatial Data Science with R


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413.4 MB
seeders:8
leechers:11
[Udemy] Geospatial Data Science with R


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