Ecology in R

Ecological data-mining, map making and GIS, SDM, movement models/home range analyses, phylogenetics & tree building

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.

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.

Course Content

  • Lesson 1: Introduction to R –> 5 lectures • 39min.
  • Lesson 2: Species Occurrences & Density/Distance Analysis –> 3 lectures • 58min.
  • Lesson 3: Field Guide Maps & SDM –> 4 lectures • 42min.
  • Lesson 4: Movement Ecology –> 3 lectures • 1hr 1min.
  • Lesson 5: Trapping Data –> 2 lectures • 36min.
  • Lesson 6: Phylogenetics in R –> 3 lectures • 33min.

Ecology in R

Requirements

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.

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