We are ICIMOD, a unique intergovernmental institution leading the global effort to protect the pulse ...
With a vast array of partners, we organize our work in what we call Regional ...
Successful interventions can change lives for the better. We hope that the stories of success ...
ICIMOD is organizing a four-day training on data analysis using R software under its Hindu Kush Himalayan Cryosphere Monitoring Programme (HKH-CMP) implemented under the Cryosphere Initiative. The HKH-CMP is a regional initiative that aims to enhance and expand the current knowledge and understanding of the HKH’s cryosphere. The activities are funded by the Government of Norway.
River Basins and Cryosphere
Everest Meeting Hall, ICIMOD, Kathmandu
17 December 2019 to
20 December 2019
Tika Ram Gurung
The training on glacio-hydrological analysis using R will cover the basics of R software, time-series analysis of glacio-hydrological data, data visualization, spatial analysis, and snow cover analysis using R. The training will be conducted with a combination of presentations and demonstrations complemented by hands-on exercises.
The Cryosphere Initiative is collaborating closely with national partners in the HKH region, contributing to developing and maintaining cryosphere monitoring programmes and providing technical backstopping. This training is being organized to enhance the data analysis skills of the collaborating partners. Participation is by invitation only.
ICIMOD promotes open-source software, standardized methodologies, and regional collaboration. R is an open-access and free software and has a wide global community with millions of active users. Users can access thousands of statistical, mathematical, and graphical functions. There are online forums to help troubleshoot and understand R-related problems.
Through the software, it is possible to generate high-quality graphics that can be used in academic reports. R scripts are easily automated and compatible with any system (Windows, Linux, Mac), which makes them suitable for promoting reproducible research.
Before the training, participants are requested to download and install R from www.cran.r-project.org and R Studio from www.rstudio.com