Temporal data mining involves the extraction of meaningful patterns and trends from time-stamped data sets across diverse sectors such as finance, healthcare, environmental sciences and the Internet ...

Spatio-temporal point processes and network analysis constitute an interdisciplinary framework designed to model and interpret the occurrence and relationships of events distributed across both space ...

Distance sampling is a widely used method for estimating wildlife population abundance. The fact that conventional distance sampling methods are partly design-based constrains the spatial resolution ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 182, No. 3 (2019), pp. 919-942 (24 pages) Past studies have shown that crime events are often clustered. This study ...