The document discusses Trellis graphics and the lattice package in R. Trellis plots provide multi-panel conditioning and sophisticated plotting styles to make plots easy to interpret. The lattice package allows creating Trellis plots, including xyplots to visualize latitude and longitude data of earthquake locations and updating plots. Three-dimensional plots can also be created using the cloud function, and Trellis graphics enables conditioning plots by additional variables.

1. Advanced Graphics The Dataminingtools.net Team

2. Trellis Graphics:the lattice package Trellis plots are designed to be easy to interpret and at the same time provide some modern and sophisticated plotting styles, such as multi-panel conditioning. Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

3. Lattice Package > xyplot(lat ~ long, data=quakes, pch=“+") Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

4. Lattice Package > tplot<-xyplot(lat ~ long, data=quakes, pch="X") > tplot2 <- update(tplot, main="Earthquakes in the pacific ocean") > print(tplot2) Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

5. Lattice functions Image Source: http://www.stat.auckland.ac.nz/~paul/RGraphics/RGraphicsChapters-1-4-5.pdf Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

6. 3-d Plots using cloud() > cloud(depth ~ lat*long, data=quakes, pch="+") Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

7. 3-d Plots using cloud() One of the very powerful features of Trellis Graphics is the ability to specify conditioning variables within the formula argument. Something of the form y ~ x | g indicates that several plots should be generated, showing the variable y against the variable x for each level of the variable g. Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf