Ecological Data
In this chapter, we’ll introduce some methods commonly used in ecological data collection and then explore graph-theoretic clustering methods that can parse out animal populations across monitored geographic areas. This is a very common problem within ecological research, as populations of animals migrate and overlap with other populations of animals. In addition, parsing out healthy and unhealthy ecosystems is a common survey task for conservation and urban planning. We’ll analyze two types of ecological data with spectral clustering to find groups within snake capture count and ecological survey text data.
By the end of this chapter, you’ll understand how to apply spectral clustering to find groups on networks. You’ll also see how different implementations of spectral clustering can be formulated, with some algorithms scaling better to large networks than other algorithms.
Specifically, we will cover the following topics:
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