Dept. of Remote Sensing recently hosted the 5th joint workshop of the working groups “Ecology and Environment“, “Bayes Methods” and “Spatial Statistics” of the German Region of the International Biometric Society and the Forest Biometrics unit of the German Association of Forest Research Stations (DVFFA), which was held in Z6 building of Hubland Campus from october 7th to 9th 2015.
The workshop provided a substantial platform for 26 international researchers and practitioners to establish new contacts, strengthen their existing ties and have fruitful exchanges in spatial statistics and its application in different disciplines including ecology, remote sensing, forest biometry, agriculture, epidemiology and medicine. There have been totally 7 presentations held by various participants, followed by in-depth discussions. In addition, the participants enjoyed the intensive and comprehensive tutorials given by Lauri Mehtätalo on “Mixed-Effects models in Theory and Pracice”, followed by R training sessions and trouble shooting.
We look forward to our continued joint activities with IBS-DR working groups and DVFFA. The next planned event organised by the working group “Ecology and Environment” and the DVFFA will be a statistical session at the German Forest Science Conference (FoWiTa 2016) in Freiburg from 26th to 29th of September 2016.
As previously announced, the biometrics workshop will take place from 7 to 9 of October 2015 at the Hubland Campus of the University of Würzburg.
The information on Workshop as well as on abstract submission can be addiitonally found in
In order to register and submit the contributions, please send an email until 05 of July 2015 to:
The registration email should contain the following information:
- One MS-Word (.docx) file of the contribution abstract (Max. 300 words and up to 5 keywords)
- Name and Surname of the presenting author
- Affiliation of the presenting author (Institution, City, Country)
- Contact details (Email, Phone number and P.O Box)
- Indication of whether or not a participation certificate is required by the author
The workshop is organized by the working groups “Ecology and Environment”, “Bayesian Methods” and “Spatial Statistics” of the International Biometric Society- German Region together with the section “Forest Biometry and computer science” at the German Association of Forest Research Organizations (DVFFA).
In addition to the presented contributions, Lauri Mehtätalo (Universities of Eastern Finland and Helsinki) will give a tutorial on “Mixed-effects mdoels in theory and practice”.
Best regards and hope to see you in Würzburg in October
The organizing team
The working groups “Ecology and Environment“, “Bayes Methods” and “Spatial Statistics” of the German Region of the International Biometric Society and the Forest Biometrics unit of the German Association of Forest Research Stations (DVFFA) announce a joint biometry workshop to be held in the University of Würzburg-Germany from 7th to 9th of October 2015.
The workshop will focus on all relevant topics in spatial statistics and inference, with a main focus on environmental and ecological applications of statistical methods.
Along with the presentations held by the interested participants from various disciplines, he workshop will be enriched by a statistical tutorial held by:
Dr. Lauri Mahtätalo
Associate Professor of the Applied Statistics
Universities of Eastern Finnland and Helsinki
“Mixed-Effects Models in theory and practice”
Mixed-effects models are tools to analyze grouped datasets where the groups constitute a random sample from a population of groups. The aim of the workshop is to provide a space for presentations and discussions of recent developments in spatial modeling (with particular focus on mixed effects models) and their applications in answering environmental and ecological research questions.
In addition to this tutorial, presentations on the following topics are particularly welcome:
- Various constellations for Mixed-Effects models, including
- Linear Mixed-Effects models
- Linear Mixed-Effects models for multilevel datasets
- Multivariate Mixed-Effects models
- Nonlinear Mixed-Effects models
- Other model-assisted applications in environmental and ecological domains, including various frequentistic/ Bayesian models and their applications for problems e.g. filling missing data, meta-analysis and predictions
- software implementations in various languages (R, C++, Python etc.)
Please do not hesitate to contact:
Dept. of Remote Sensing
University of Würzburg
for further questions.
Stay tuned for further information on important dates, submission of abstracts and registration process…
The participation of workshop will be free of charge.