Ecology, Statistics, and Data Science with R
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  • Schedule
  • R
    • About Course Content
    • Module 1: Introduction to R
    • 1.0 Course Introduction
    • 1.1 First Steps
    • 1.2 Data Wrangling
    • 1.3 Plotting
    • Module 2: Spatial Analyses
    • 2.1 Spatial Data
    • 2.2 Spatial Raster Data
    • 2.3 More Raster Data
    • Module 3: Building R packages
    • 3.1 Quickstart guide
    • Module 4: Reproducible and Interactive Research
    • 4.1 Research Reports with R markdown
    • 4.2 Version control with Github
    • 4.3 RMarkdown Tools: Interactive Presentations, Apps, Websites
  • Ecological Modeling
    • Introduction to Species Distribution Models
    • Range Models with Wallace
    • Introduction to Demography
    • Introduction to Integral Projection Models
    • Ecoinformatics Workshop
    • 0 Workshop Schedule
    • 1 (BIEN) Botanical Information and Ecology Network
    • 2 Taxonomic Name Resolution
    • 3 Accessing Plant Biodiversity Data
    • 4 A streamlined modeling workflow: Wallace
    • 5 Integrating biogeographic data
    • 6 Network Associations
    • 7 Teaching Econformatics
  • Resources
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Course Introduction

1 Introduction

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