xp-song/intro2r-spatial

A crash course in analysing spatial patterns of the landscape using R

Intro2R-spatial

This repository contains teaching materials for a workshop on analysing spatial patterns of the physical landscape.

The workshop introduces the use of R to classify land cover and to quantify landscape composition/configuration. It assumes that you have basic knowledge of GIS (i.e. coordinate reference systems, rasters and vectors) and the R programming language. You can read more about the workshop in this blogpost, or preview the slide deck directly here.

Workshop outline

1. Why analyse spatial patterns?

2. Landscape ecology: Conceptual models

3. Land cover classification

4. Landscape metrics

Instructions

You will need to have R and R Studio installed on your computer. Download the materials for this workshop from the Github repository Intro2R-spatial.

In the downloaded folder you will see a few important items.

• The slide decks in PDF format.

• The workshop notes in .Rmd (R notebook source file) and .html format. View in your web browser by opening the .html files

• The 'data' folder. It contains example datasets we will use in this workshop.

• The 'clean_data' folder. Processed data will be stored in this folder. We will specify in our code to export/import files here.

• The RStudio Project file (ending with .Rproj). Opening it boots up RStudio.

Credits

This repository contains the following:

• Landsat-8 satellite images from the U.S. Geological Survey
• Singapore Regional Master Plan 2014 from the Urban Redevelopment Authority

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Copyright (c) 2020 Song, Xiao Ping