Fig. 2
From: A hierarchical path-segmentation movement ecology framework
Parsing the walk W into a set of metaFuMEs. Associated with each point t is a set of running values \(\bigl (s(t),a(t),v^{ss}(t),v^{aa}(t),v^{as}(t),\text{ other } \text{ possible } \text{ covariates } \bigr )\). Cluster analysis may be used to generate metaFuME categories. For purposes of illustration, we depict three types of metaFuMEs with associated lists of time steps—i.e., metaFuME sequence index sets—that can then be used to define the ensemble of values associated with each metaFuME type: \(\text{ blue }={T}_1,\) \(\text{ red }={T}_2\), and \(\text{ green }={T}_3\). Note that we expect transition points between strings of metaFuMEs of one type (broken line segments), such as \(t-6\), \(t-1\) and \(t+4\), could well be outliers in the clustering process. Outliers may be assigned to the cluster to which they are closest in some suitably defined sense (as indicated by the colors of the broken lines)