The CHIESA/AFERIA capacity building sessions, facilitated by former PhD students of the CHIESA project, commenced with five-day training on “Soil carbon stock trends in Taita Hills explored using R statistics and QGIS”. The training was carried out by Dr Crispus Njeru, a scholar and former PhD student under the project. One of the commitments of the scholars was to build the capacity of selected staff members in their home organisation by conducting training in their areas of expertise.
This first course targeted staff working and/or postgraduate level students in environmental, soil and ecosystem services science. The course focused on the utilization of open source QGIS software and R programme to describe and quantify data from CHIESA soil carbon research, and specifically focusing on soil carbon and nitrogen storage potential of a number of land cover systems in Taita Hills, South-eastern Kenya.
Participants of the Statistics and QGIS course at KARLO
The course was attended by 10 participants (5 Male and 5 Female) who comprised of GIS experts, soil scientists, IT specialists, students and undergraduate student interns. The participants selected were diverse and it is hoped that the skills gained will be useful to them in their research work and careers. Interns and students were selected to participate in the training as a way to create interest in the skill and also begin to build their capacity and to mentor them to appreciate the versatility of this data analysis package.
“This course is practical and useful for any scholar who is involved in research and needs a tool that can be used to analyze data and present it in different formats” said Dr Njeru the head trainer. Both QGIS and R are free and open source softwares, allowing the user the freedom to modify analysis codes as it best suit them. Both packages incorporate standard statistical tests, models, and analyses, and several other embeddable tools for formatting, editing, manipulating, analyzing and reporting on data.
For a copy of the training material, please click here
Please click here to view the training photos
More information about the R program https://www.r-project.org/