[R-sig-Geo] Course - Introduction to Ecological Remote Sensing in R

[Roger Bivand]

Advertising of commercial courses charging more than simple cost-covering is bad practice. The list maintainer should have been asked for permission, something most course providers usually are careful to do. Please desist - any further such postings without permission will lead to administrative unsubscription. You use multiple other channels to market your courses, please do not turn this list into a commercial arena as it will lead to many ceasing to use the list for its main purposes.

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Roger Bivand
Emeritus Professor
Norwegian School of Economics
Postboks 3490 Ytre Sandviken, 5045 Bergen, Norway
Roger.Bivand using nhh.no

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From: R-sig-Geo <r-sig-geo-bounces using r-project.org> on behalf of info using physalia-courses.org <info using physalia-courses.org>
Sent: 11 August 2023 18:36
To: r-sig-geo using r-project.org
Subject: [R-sig-Geo] Course - Introduction to Ecological Remote Sensing in R


Dear all,We are excited to announce the upcoming online course on "Introduction to Ecological Remote Sensing in R" scheduled for September 11-15, 2023. This course aims to provide scholars with no prior experience in R a comprehensive understanding of ecological remote sensing and its application in analyzing planetary changes.**Course Overview:**The course is tailored to those seeking to delve into the world of ecological remote sensing and harness the power of R for data analysis. We will begin from the basics of R programming and guide attendees through each step of coding remote sensing analysis. By the end of the course, participants will have developed proficiency in constructing analysis workflows and effectively reporting their findings using LaTeX. The final part of the course will cover the essentials of LaTeX scripting for articles and presentations.**Learning Outcomes:**By attending this course, participants will achieve the following objectives:- Learn how to set up and
 manage a GitHub account for storing code- Develop foundational coding skills in R, progressing to remote sensing data analysis- Gain insight into LaTeX for coding text and generating output reports**Program Overview:**The course will follow a daily schedule from 15:00 to 18:00 (Berlin time), covering a range of topics and practical sessions.

This course is a unique opportunity to enhance your skills in ecological remote sensing and R programming, regardless of your prior experience level.

For more information and registration, please visit https://www.physalia-courses.org/courses-workshops/remote-sensing-in-r/

We look forward to welcoming you to the "Introduction to Ecological Remote Sensing in R" course in September.

Best regards,
Valentina

Valentina Sardina
Course coordinator
info using physalia-courses.org
[ http://www.physalia-courses.org/ ]( http://www.physalia-courses.org/ )
mobile: +49 17645230846
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