Analysing spatial point patterns in R by Adrian Baddeley. (ebook)
If that doesn’t sound immediately appealing, consider the following from section 1.1 Types of Data:
1.1.1 Points
A point pattern dataset gives the locations of objects/events occurring in a study region.
[graphic omitted]
The points could represent trees, animal nests, earthquake epicentres, petty crimes, domiciles of new cases of influenza, galaxies, etc.
The points might be situated in a region of the two-dimensional (2D) plane, or on the Earth’s surface, or a 3D volume, etc. They could be points in space-time (e.g. earthquake epicentre location and time). The software presented here is only applicable to 2D point patterns (but we’re working on it).
1.1.2 Marks
The points may have extra information called marks attached to them. The mark represents an “attribute” of the point…
Now, think of something that doesn’t occupy a spatial point pattern (outside of digital memory).
😉 It is that universal.
First seen in Christophe Lalanne’s Bag of Tweets for May 2012.