[R-sig-Geo] Spatial Data Visualization in R course - online, 17-19 June

2025-03-23 Thread [email protected]


Dear all,
We are pleased to announce the upcoming "Spatial Data Visualization in R" 
course, running from 17th to 19th June, held online to encourage global 
participation.
 
Course website: [ 
https://www.physalia-courses.org/courses-workshops/spatial-dataviz/ ]( 
https://www.physalia-courses.org/courses-workshops/spatial-dataviz/ )
 
This course offers a comprehensive introduction to spatial data analysis, 
focusing on visualizing spatial matrices and point patterns, with a dedicated 
module on designing accessible, colorblind-friendly visualizations — an 
essential skill for modern scientific communication.
 
Key learning outcomes include:
 
- Visualizing Remote Sensing Data
- Understanding Spatial Variability 
- Analyzing Temporal Variability
- Utilizing Spatial Analysis Techniques
- Addressing Accessibility in Scientific Visualization
 
Daily schedule: 3:00 PM – 6:00 PM (Berlin time)
No prior R experience is required — this course is suitable for both beginners 
and those looking to enhance their visualization skills.
 
Best regards,
Carlo


Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

[email protected]

mobile: +49 17645230846

[ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin 
]( https://www.linkedin.com/in/physalia-courses-a64418127/ )


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[R-sig-Geo] Spatial Data Visualization in R course - online, 17-19 June

2025-02-26 Thread [email protected]


Dear all,
We are pleased to announce the upcoming Physalia online course on Spatial Data 
Visualization in R, designed for researchers and professionals working with 
spatial data. This online training will provide hands-on experience with R 
tools for spatial analysis, focusing on ecological applications and 
accessibility in scientific visualisation.
 
 
Course Details:
Dates: 17-19 June 2025
Time: 3:00 PM – 6:00 PM (Berlin time)
Format: Online
Website: [ 
https://www.physalia-courses.org/courses-workshops/remote-sensing-in-r/ ]( 
https://www.physalia-courses.org/courses-workshops/remote-sensing-in-r/ )
 
This course is open to participants at all levels, and no prior experience with 
R is required.
 
 
Best regards,
Carlo
 
 



Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

[email protected]

mobile: +49 17645230846

[ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin 
]( https://www.linkedin.com/in/physalia-courses-a64418127/ )



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