ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR04)
Please feel free to share!
ABOUT THIS COURSE
This 5-day course will cover R concepts, methods, and tools that can be used to analyze community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity indices, distance measures and distance-based multivariate methods, clustering, classification and ordination techniques using the R package VEGAN. We will use real-world empirical data sets to motivate analyses, such as describing patterns along gradients of environ-mental or anthropogenic disturbances, quantifying the effects of continuous and discrete predictors. We will emphasise visualisation and reproducible workflows as well as good programming practices. The modules will consist of introductory lectures, guided computer coding, and participant exercises. The course is intended for intermediate users of R who are interested in community ecology, particularly in the areas of terrestrial and wetland ecology, microbial ecology, and natural resource management. You are strongly encouraged to use your own data sets (they should be clean and already structured, see the document: “recommendation if you participate with your data”.
Please feel free to contact email@example.com with any questions.
Wednesday, June 15th, 2022
ONLINE COURSE – Model Selection and Model Simplification Using R And Rstudio (IMMR06) This course will be delivered live
Monday, June 20th 2022
ONLINE COURSE – Bayesian GLM’s For Ecologists (BGFE01) This course will be delivered live
Wednesday, June 29th, 2022
ONLINE COURSE – Introduction to Machine Learning and Deep Learning using R (IMDL03) This course will be delivered live
Monday July 11th 2022
ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE05) This course will delivered live
Monday, May 9th, 2022
ONLINE COURSE – Introduction To Multivariate Analysis In Ecology And Evolutionary Biology (IMAE01) This course will be delivered live
Monday, September 12th, 2022
ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR04) This course will be delivered live
Tuesday, September 20th, 2022
ONLINE COURSE – Bioacoustics For Ecologists: Hardware, Survey design And Data analysis (BIAC03) This course will be delivered live
Monday, September 26th, 2022
ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB04) This course will be delivered live
Monday, September 26th, 2022
ONLINE COURSE – Remote Sensing With Satellite Multi-Spectral Sensors (RSMS01) This course will be delivered live
Monday, October 3rd, 2022
ONLINE COURSE Aquatic Acoustic Telemetry Data Analysis (ATDA02) This course will be delivered live
Wednesday, October 5th, 2022
ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM05) This course will be delivered live
Tuesday, 18th October 2022
ONLINE COURSE – Bayesian Data Analysis (BADA02) This course will be delivered live
Wednesday, November 2nd, 2022
ONLINE COURSE – Nonlinear Regression using Generalized Additive Models (GAMR02) This course will be delivered live
Monday, December 6th 2022
ONLINE COURSE – Remote Sensing With Aircraft And Drone LiDAR Sensors (RSLD01) This course will be delivered live
Monday, December 12th, 2022
ONLINE COURSE – Ecological niche modelling using R (ENMR04) This course will be delivered live
Monday, February 6th, 2023
ONLINE COURSE – Remote Sensing With Drone RGB And Near Infrared Cameras (RSWD01) This course will be delivered live
Remember* we have over 30 courses archived and available on demand on our recorded courses page https://www.prstatistics.com/recorded-courses/
Moving our courses online due to the COVID pandemic has allowed us to archive all our previous courses and offer them in a recorded format.
This is ideal for;
People with busy schedules who can’t take long periods off work to attend workshops.
Allows attendees to work at their own pace with email support.
Suitable for people from all timezones.
The recordings are taken from our Live Online Courses which ensures all materials and software packages are constantly up-to-date.