ONLINE COURSE – Ecological niche modelling using R (Species Distribution Modelling) (ENMR04)

oliver-hookerOliver Hooker
  • 9 Aug

ONLINE COURSE – Ecological niche modelling using R (ENMR04)

https://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/

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12th-15th December

ABOUT THIS COURSE - The course will cover the base theory of ecological niche modelling and its main methodologies. By the end of this 5-day practical course, attendees will have the capacity to perform ecological niche models and understand their results, as well as to choose and apply the correct methodology depending on the aim of their type of study and data.

Ecological niche, species distribution, habitat distribution, or climatic envelope models are different names for similar mechanistic or correlative models, empirical or mathematical approaches to the ecological niche of a species, where different types of ecogeographical variables (environmental, topographical, human) are related with a species physiological data or geographical locations, in order to identify the factors limiting and defining the species’ niche. ENMs have become popular due to the need for efficiency in the design and implementation of conservation management.

The course will be mainly practical, with some theoretical lectures. All modelling processes and calculations will be performed with R, the free software environment for statistical computing and graphics (http://www.r-project.org/). Attendees will learn to use modelling algorithms like Maxent, Bioclim, Domain, and logistic regressions, and R packages for computing ENMs like Dismo and Biomod2. Also, students will learn to compare different ecological niche models using the Ecospat package.

Email oliverhooker@prstatistics.com with any questions.

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The course will cover the base theory of ecological niche modeling and its main methodologies. By the end of this 5-day practical course, attendees will have the capacity to perform ecological niche models and understand Online Course Help their results, as well as choose and apply the correct methodology depending on the aim of their type of study and data.