eco-stats.blogspot.com
Eco-Stats Research Blog: Introducing the mvabund package (and why multivariate statistics in ecology is a bit like Rick Astley...)
http://eco-stats.blogspot.com/2012/03/introducing-mvabund-package-and-why.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Thursday, 15 March 2012. Introducing the mvabund package (and why multivariate statistics in ecology is a bit like Rick Astley.). Http:/ www.methodsinecologyandevolution.org/view/0/podcasts.html#vid-warton. You can read the paper at:. Http:/ onlinelibrary.wiley.com/doi/10.1111/j.2041-210X.2012.00190.x/full. 15 March 2012 at 14:58. Good work David and Alice! Subscribe to: Post Comments (Atom). Zero inflation in ecology.
eco-stats.blogspot.com
Eco-Stats Research Blog: January 2015
http://eco-stats.blogspot.com/2015_01_01_archive.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Friday, 9 January 2015. 2014 Eco-Stats paper of the year. Kitzes and Harte Beyond the species–area relationship: improving macroecological extinction estimates. Godoy, Kraft and Levine Phylogenetic relatedness and the determinants of competitive outcomes. Ecology Letters. An interesting mix of empirical work and theory, meticulously collecting data on vital rates in a competition experiment to parameterise a fancy Ches...
eco-stats.blogspot.com
Eco-Stats Research Blog: May 2015
http://eco-stats.blogspot.com/2015_05_01_archive.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Wednesday, 27 May 2015. The May Eco-Stats Lab (Friday 29th, 2pm, Bioscience level 6) will be on the missing data analysis, using the method of Multiple Imputation. In this lab we will explore the method of MI implemented in the mice. Package (van Buuren & Groothuis-Oudshoorn, 2011. Which stands for multivariate imputation by chained equations. For more details see. Http:/ www.jstatsoft.org/v45/i03/. Wednesday, 6 May 2015.
eco-stats.blogspot.com
Eco-Stats Research Blog: Ecostats Workshop - Mixture Models
http://eco-stats.blogspot.com/2014/01/ecostats-workshop-mixture-models.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Saturday, 25 January 2014. Ecostats Workshop - Mixture Models. To all those coming to the UNSW Ecostats workshop on Mixture models,. Computer Lab Room 640.somewhere in Sydney =D. A very very short introduction to mixture models with a very very short taste of how to implement them in R. Francis Hui (PhD student; UNSW School of Maths and Stats). Https:/ www.dropbox.com/s/0ibha7nk2u8k22u/minilecturev1.pdf? 31 January 2014 at...
eco-stats.blogspot.com
Eco-Stats Research Blog: Special Issue from Eco-Stats Symposium in MEE April 2015 issue
http://eco-stats.blogspot.com/2015/04/special-issue-from-eco-stats-symposium.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Thursday, 16 April 2015. Special Issue from Eco-Stats Symposium in MEE April 2015 issue. The Eco-Stats Symposium led to a series of papers which make up the April Special Issue of Methods in Ecology and Evolution. Read the blog post on the topic for a little more info. Planning is well underway for a follow-up Eco-Stats Conference in December 2015 at UNSW. Subscribe to: Post Comments (Atom). Http:/ www.methodsinecology...
eco-stats.blogspot.com
Eco-Stats Research Blog: Forecasting with time series data
http://eco-stats.blogspot.com/2015/07/forecasting-with-time-series-data.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Tuesday, 28 July 2015. Forecasting with time series data. Friday 31st July 2pm. Forecasting with time series data. Forecasting with Times Series Data. We will use Rob Hyndman's forecast R-package. For more details on the package and time-series forecasting in general,. See https:/ www.otexts.org/fpp. Our first example will use annual rainforest loss (ha) data collected. By satellite imagery for Tocantins, Brazilian Amazonia.
eco-stats.blogspot.com
Eco-Stats Research Blog: Species traits in multivariate analysis
http://eco-stats.blogspot.com/2015/03/species-traits-in-multivariate-analysis.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Monday, 23 March 2015. Species traits in multivariate analysis. The March Eco-Stats Lab (Friday 27th, 2pm, Bioscience level 6) will be on incorporating species traits into multivariate analysis (or equivalently, community level models), using some functions recently added to the mvabund package. We will also discuss the relationship of these methods with standard analysis of multivariate abundance data, SDMs, and Bill Ship...
eco-stats.blogspot.com
Eco-Stats Research Blog: April 2015
http://eco-stats.blogspot.com/2015_04_01_archive.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Monday, 20 April 2015. Zero inflation in ecology. The April Eco-Stats Lab (Friday 24th, 2pm, Bioscience level 6) will be on zero inflated data in ecology. . Its very common for ecological data to contain many zeros. To account for this we may need to:. 1 Use zero inflated regression models. 2 Do absolutely nothing (i.e. fit standard glms). Thursday, 16 April 2015. Featuring Otso Ovaskainen (Helsinki), Doug Wu (East Anglia)...
eco-stats.blogspot.com
Eco-Stats Research Blog: Eco-Stats Lab April 2014: Block Bootstrap
http://eco-stats.blogspot.com/2014/04/block-bootstrap.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Tuesday, 29 April 2014. Eco-Stats Lab April 2014: Block Bootstrap. In this weeks lab we learn about the block bootstrap. A non parametric way to deal with spatial auto correlation in your data and still make valid inferences. Bootstrapping allows us to find the unknown distribution of a statistic by resampling the original data (with replacement) and recalculating the statistic many times. Prelude: read in the data. Load i...
eco-stats.blogspot.com
Eco-Stats Research Blog: March 2015
http://eco-stats.blogspot.com/2015_03_01_archive.html
The life and times of the UNSW Ecological Statistics ("Eco-Stats") research group. Monday, 23 March 2015. Species traits in multivariate analysis. The March Eco-Stats Lab (Friday 27th, 2pm, Bioscience level 6) will be on incorporating species traits into multivariate analysis (or equivalently, community level models), using some functions recently added to the mvabund package. We will also discuss the relationship of these methods with standard analysis of multivariate abundance data, SDMs, and Bill Ship...