First announcement of the IBS-DR/DVFFA Biometry workshop 2015

First announcement of the IBS-DR/DVFFA Biometry workshop 2015

April 13, 2015

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

on

“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.

logo2

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:

Hooman Latifi

Dept. of Remote Sensing

University of Würzburg

Email: hooman.latifi@uni-wuerzburg.de

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.

follow us and share it on:

you may also like:

Teaching activities in the Arctic: EORC at UNIS on Svalbard

Teaching activities in the Arctic: EORC at UNIS on Svalbard

It started a few years ago, when Mirjana Bevanda built up a collaboration with partners at UNIS, the University Centre in Svalbard. Jakob Schwalb-Willmann joined soon after, and today a growing group from EORC heads north to teach there, including Antonio...

A First Get-Together with the New EAGLE Generation 🦅

A First Get-Together with the New EAGLE Generation 🦅

A new EAGLE generation means new faces, new ideas, and the start of another journey in Earth Observation. And what better way to kick things off than with a relaxed evening at the pub? Our first social event brought together the new students, older EAGLE generations,...

An Evening with Professor Jarugu Narasimha Moorthy

An Evening with Professor Jarugu Narasimha Moorthy

It was a pleasure to have dinner with Professor Jarugu Narasimha Moorthy, who received an honorary doctorate from the Faculty of Chemistry and Pharmacy in recognition of his achievements. The ceremony took place on 29 September 2026 in the Chemistry Central Building....

Ecology or Sampling Bias? A Roadside Perspective on Invasion Risk

Ecology or Sampling Bias? A Roadside Perspective on Invasion Risk

At the 2026 annual meeting of the AK Fernerkundung (German Working Group on Remote Sensing), which was hosted by the Thünen Institute in Braunschweig, our EORC team member Dr. Insa Otte presented research results on sampling bias in species distribution models in...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This