November 2018
Beginner to intermediate
354 pages
6h 59m
English
Content preview from Hands-On Geospatial Analysis with R and QGIS
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Marked point patterns
In a spatial point pattern, points could carry additional information called marks. These marks could be either continuous or categorical. In the case of a tree, a mark could be the diameter of a tree; in the case of a landslide, a mark could be the time of the landslide. We have to be careful to remember that points are random and so, if the locations are fixed, we don't have valid points.
We'll now import a CSV file where the points are diseases and the marks are the locations of the disease and the disease status (yes or no). In ppp(), to create marks, we have to convert mark data into factors and provide it as a value of the marks argument to the ppp() function. In the following code, we import the data into R as ...
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