Varun Sethi

Abstract Improved animal tracking technologies provide opportunities for novel segmentation of movement tracks/paths into behavioral activity modes (BAMs) critical to understanding the ecology of individuals and the functioning of ecosystems. Current BAM segmentation includes biological change point analyses and hidden Markov models.

With rapid industrialization, urbanization, burgeoning middle class, and a combined population exceeding 691 million people, Southeast Asia (SEA) holds significant potential in the coming decade[1]. Despite being characterized by accelerated economic growth, the region has been grappling with daunting demographic and healthcare challenges. A notable trend is the aging population, attributed to declining birth rates and increased life expectancy due to greater healthcare innovations.

Abstract Animal movement plays a key role in many ecological processes and has a direct influence on an individual's fitness at several scales of analysis (i.e., next-step, subdiel, day-by-day, seasonal). This highlights the need to dissect movement behavior at different spatio-temporal scales and develop hierarchical movement tools for generating realistic tracks to supplement existing single-temporal-scale simulators.