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30-Day Money-Back Guarantee
Teaching & Academics Science R

Ecology in R

Ecological data-mining, map making and GIS, SDM, movement models/home range analyses, phylogenetics & tree building
Rating: 4.2 out of 54.2 (183 ratings)
787 students
Created by Russell J Gray
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Mining ecological and environmental data
  • Species range map making
  • Species Distribution Modelling (SDM)
  • Movement data analysis
  • Trapping data analysis
  • Phylogenetic tree building

Requirements

  • Download R and R Studios
  • Internet connection

Description

Learn a wide variety of ecological data analyses by mining your own species occurrences and environmental data from various online sources. R code provided in each lesson is reproducible and easy to modify for your own projects and research. Upon completion of this course, you should have the knowledge to perform these analyses and GIS techniques with your own data, with an improved knowledge and understanding of the packages, functions, and R language.

Who this course is for:

  • Ecologists
  • Researchers
  • Wildlife conservationists
  • Naturalists
  • Environmental data scientists

Course content

6 sections • 20 lectures • 4h 29m total length

  • Ecology in R file package download
    00:15
  • Preview01:16
  • Preview21:15
  • Importing and Exporting Data
    03:43
  • Visualization Basics
    12:05

  • Lesson 2 overview
    01:22
  • Species Occurrence Data Mining
    20:31
  • Species Density and Distance Analysis
    35:51

  • Lesson 3 Overview
    01:36
  • Gathering Environmental Data
    10:59
  • Field Guide Maps
    20:08
  • Species Distribution Modelling (SDM)
    09:45

  • Lesson 4 Overview
    01:00
  • Movement Dynamics
    17:04
  • Home Range Analyses
    42:51

  • Lesson 5 Overview
    01:32
  • Trapping Analyses
    34:51

  • Lesson 6 Overview
    01:12
  • Sequence Analysis
    13:12
  • Trait Analysis
    18:58

Instructor

Russell J Gray
Wildlife Researcher
Russell J Gray
  • 4.2 Instructor Rating
  • 183 Reviews
  • 787 Students
  • 1 Course

I am an independent researcher, working alongside several agencies and institutions in SE Asia, and North America. My current focus is on using modern technologies and implementation of machine learning, computer vision, and AI to create efficient and automated wildlife systems. My long-term goal is to create a monitoring network to enable a global response to detrimental environmental change in order to effectively allocate funding and resources.

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