Analysis of community ecology data in R

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====== List of past and future classes and workshops ======

This website was or will be occasionally used for teaching the following classes or workshops:
  * **2020** (spring semester) - [[http://www.davidzeleny.net/wiki/doku.php/numecol:start|Numerical Methods in Community Ecology]] (National Taiwan University, Taiwan)
  * **2019** (spring semester) - [[http://www.davidzeleny.net/wiki/doku.php/numecol:start|Numerical Methods in Community Ecology]] (National Taiwan University, Taiwan; 5-day course open also for students from other universities)
  * **2018** (spring semester) - [[http://www.davidzeleny.net/wiki/doku.php/numecol:start|Numerical Methods in Community Ecology]] (National Taiwan University, Taiwan)
  * **2017** (spring semester) - [[http://www.davidzeleny.net/wiki/doku.php/numecol:start|Numerical Methods in Community Ecology]] (National Taiwan University, Taiwan)
  * **2015** (July 25-26) - [[iavs2015:start|David Zelený & Ching-Feng Li (Woody): Multivariate Analysis of Vegetation Data in R: current practice]] (Brno, Czech Republic, workshop for conference of International Association of Vegetation Science)
  * **2015** (spring semester) - [[en:anadatr-2015|David Zelený: Analysis of community ecology data in R program]] (Masaryk University, Czech Republic)
  * **2013** (spring semester) - [[http://is.muni.cz/predmet/sci/jaro2013/Bi7550?lang=en|David Zelený: Analysis of community ecology data in R program]] (Masaryk University, Czech Republic)
  * **2013** (April) - [[anadat-r-rome-2013|David Zelený & Ching-Feng Li (Woody): Analysis of community ecology data in R program]] (Roma Tre University, Italy)
  * **2011** (spring semester) - [[http://is.muni.cz/predmet/sci/jaro2011/Bi7550?lang=en|David Zelený: Analysis of community ecology data in R program]] (Masaryk University, Czech Republic)
  * **2011** (April) - [[http://www.scienzadellavegetazione.it/sisv/notizia/dettagli.jsp?id=54|David Zelený: Analysis of ecological data in R program]] (Roma Tre University, Italy)

Analysis of community ecology data in R

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