In this short course you will be introduced to R-Instat, its functionalities and how it can be used to compare satellite data with station data. R-Instat is a statistics software, which is very well designed to manage station data and compare and combine station data with satellite data.
Participants will be given time to play with R-Instat, check out the functionalities to compare station data with satellite data. Participants are invited to join a feedback / Q&A session on Monday, 8 February 2021 at 12:00 - 13:00 UTC.
Participants are invited to install R-Instat prior to the course. R-Instat is designed for windows operating systems, however it can also be installed on Ubuntu 18.04 through wine.
with Christine Traeger Chatterjee, Steffen Kothe and Danny Parsons
Recording of the webinar on 3rd Feb is now available:
Joining the session
For Q&A, go to Slido.com and use #EUMSC10 or simply go to https://app.sli.do/event/vtcvnmle (no log in required). You can join Slido from your phone.Post your graphs and analyses on Padlet https://padlet.com/CMSAF/cmsaf_padlet to share with others!
R-Instat Presentation from the live session (PDF)
We are happy to have you here. On this page you will be able to find all important information about the course. After the course, you will be able to access here the recording of the session.
Before the short course begins please make sure you follow the preparation steps below. This will ensure that you have the required software installed on your machine and you can make the most of the time available in the short course to learn as much as possible.
This section is not required to be done before the start of the short course. However, you may which to go through this before to get some practice.
Once you have installed R-Instat you can start working with data. R-Instat is designed to analyse both station and satellite data, as well as having general features of a statistics package.
In this short course we will focus on comparing station data with satellite data. However, in this section we also provide resources on the general use of R-Instat.
Whatever you intend to use R-Instat for, we suggest starting with the two tutorials (below) to familiarise yourself with how R-Instat works and to get started working with data.
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