Bayesian analysis with JAGS and R
Bangkok, 3 - 14 July 2017
Bayesian analysis seems to be
taking the world of ecological statistics by storm! Since 2009, more than 20 papers have appeared in the mainstream
ecological literature (eg. Ecology, Journal of Applied
Ecology, Biological Conservation) which use Bayesian
analysis methods and provide the code used to run the analysis in R
This workshop aims to get participants to the point where
they can read and understand Bayesian analyses in the ecological
literature, run the example code provided, and adapt it to suit
their own models. Details of workshop content are
The next Bayesian analysis with JAGS workshop
will be a 10-day event organised by the
Program at King Mongkut's University of Technology Thonburi (KMUTT)
from 3 to 14 July 2017. The content will be an extension of the
usual 5-day workshop; details will be available in late January.
If you are interested in joining this workshop, please contact Dr
Dusit Ngoprasert: ndusit_at_gmail_dot_com.
Introduction to GIS with QGIS and R
Geographic information system (GIS) tools are
essential today for understanding what is happening around us. A commonly used application is QGIS,
which is free, open-source, cross-platform
software that is constantly updated for greater performance.
QGIS works on Macs and Linux, but the
facilitators only have experience with Windows.
This workshop is intended for those who want to
learn the basics of GIS but do not have access to proprietary
More details of the content are
The next QGIS workshop in Malaysia will likely be late in 2017.
Charts and Graphs (in R)
Some types of charts can be drawn in spreadsheet software (eg. MS
Excel or LibreOffice Calc), but R offers both a greater range of
chart types and more flexibility in adjusting chart details to meet
the demands of journal editors. We will focus on the powerful base
graphics package in R, and only refer briefly to other add-in
Details of topics to be covered are
The next Charts and Graphs workshop will
be late 2017.
Simulations and Modelling (in R)
Simulations are an important tool in study design. It enables
you to explore different sample sizes and sampling strategies,
to see how best to collect data to answer your research
question. In addition, setting up simulations forces you to
think through how the data might be generated, ie, to create a
model of the system you are studying.
We'll be using the R programming language, which is ideal for
building models and simulating data. You'll get more out of this
workshop if you are already familiar with R.
The next Simulations and Modelling workshop
in Malaysia will be late 2017.