Species Distribution Models with GIS & Machine Learning in R

Online Course

Udemy
Species Distribution Models with GIS & Machine Learning in R

What is the course about?

Species Distribution Models with GIS & Machine Learning in R
The course Species Distribution Models with GIS & Machine Learning in R is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in R

Course description
  • Species Distribution Models with GIS & Machine Learning in R
  • You will have a greater clarity of basic spatial data concepts and data types
  • Carry out practical spatial data analysis tasks in freely available software in R
  • Analyze spatial data using R
  • Ability to Install Packages in R and RStudio
  • Interest in learning the implementation of GIS techniques in R
  • Interest in applying machine learning to spatial data
  • 4 hours on-demand video
  • 1 article
  • 27 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Minerva Singh

Prerequisites & Facts

Species Distribution Models with GIS & Machine Learning in R

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Species Distribution Models with GIS & Machine Learning in R

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Species Distribution Models with GIS & Machine Learning in R
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Machine Learning