Tutorials

All these tutorials have an Ecologist bias, mixed with my own opinions on best practices.

R Basics:

R Intermediate:

Combining Multiple Plots in R

Introduction

Tidyverse

ggplot2

patchwork

A Introduction to Combining Plots in R for Research Scientists: From Facetting to Patchworks.

Making Static Maps in R

Introduction

Tidyverse

ggplot2

Mapping

GIS

A Rapid Introduction to Mapping in R for Research Scientists: From Reading in Shape files and Rasters to plotting Shape files alongside Rasters in different Projections.

Making Interactive Maps in R

Introduction

Tidyverse

ggplot2

leaflet

Mapping

GIS

A Rapid Introduction to Interactive Mapping in R for Research Scientists: All/some things Leaflet.

Spatial Data in R

Tidyverse

ggplot2

terra

Mapping

GIS

An Introduction look at spatial analyses, plotting, manipulation and combination.

Complex GIS in R

Tidyverse

ggplot2

terra

Mapping

GIS

An in-depth look at spatial dataset analyses.

Loops in R

Tidyverse

ggplot2

forloop

map

purrrr

An Introduction look at loops/ifelse/apply/mapping.

R Advanced:

Making Maps from Satellite Imagery

Tidyverse

ggplot2

terra

Mapping

GIS

Introduction to using Satellite Imagery for Mapping.

General Linear Models (GLMs):

Introduction GLMs

Introduction

GLMs

An Introduction to General Linear Models (GLMs) in R.

Gaussian GLMs

Introduction

GLMs

Stats

Gaussian

Examples of Gaussian GLMs

Poisson GLMs

Introduction

GLMs

Stats

Poisson

Examples of Poisson GLMs

Binomial GLMs

Introduction

GLMs

Stats

Binomial

Examples of Binomial GLMs

Gamma GLMs

Introduction

GLMs

Stats

Gamma

Examples of Gamma GLMs

Beta GLMs

Introduction

GLMs

Stats

Beta

Examples of Beta GLMs

Zero Inflated GLMs

Introduction

GLMs

Stats

Zero Inflation

Examples of Zero Inflated GLMs

Common GLM Problems

Problems

GLMs

Understanding and Solving Common Problems of General Linear Models (GLMs) in R.

General Linear Mixed Effect Models (GLMMs):

Introduction to GLMMs

Introduction

GLMMs

An Introduction to General Linear Mixed Effect Models (GLMMs) in R.

Machine Learning:

Introduction to Machine Learning

Introduction

Machine Learning

Stats

Random Forest

Brief Introduction to Machine Learning

Comparing and Ensembling Machine Learning Models

Introduction

Machine Learning

Stats

Random Forest

XGBoost

SVM

KNN

Building different Models and Intercomparing, and then Combining into an Ensemble

Using Machine Learning with Satellite Imagery

Introduction

GIS

Machine Learning

Remote Sensing

Mapping

Stats

Random Forest

Building a Prediction Model for Satellite Imagery

Categories

Tutorials

R Basics:

Introduction to R

Data Manipulation in R

Data Visualisation in R

R Intermediate:

Combining Multiple Plots in R

Making Static Maps in R

Making Interactive Maps in R

Spatial Data in R

Complex GIS in R

Loops in R

R Advanced:

Making Maps from Satellite Imagery

General Linear Models (GLMs):

Introduction GLMs

Gaussian GLMs

Poisson GLMs

Binomial GLMs

Gamma GLMs

Beta GLMs

Zero Inflated GLMs

Common GLM Problems

General Linear Mixed Effect Models (GLMMs):

Introduction to GLMMs

Machine Learning:

Introduction to Machine Learning

Comparing and Ensembling Machine Learning Models

Using Machine Learning with Satellite Imagery