Krystal’s teaching focuses on developing students’ capability in geospatial science, with an emphasis on spatial analysis, GIS practice, cartography, and applied problem‑solving using spatial data. She has experience teaching at the tertiary level, working with students across a range of skill levels and disciplinary backgrounds. Her expertise draws on sixteen years in the geospatial field, including research in spatial modelling of human movement and applied GIS work in operational and emergency‑response contexts. Her approach is informed by professional experience, ongoing research activity, and engagement with the broader geospatial community.

Krystal’s research focuses on understanding and predicting human movement through spatial modelling approaches, particularly the development of agent-based models that simulate behaviour in wilderness environments. She is interested in extending this work to larger spatial and temporal scales to explore how movement patterns shift across different landscapes and contexts. A current strand of her research involves adapting her modelling framework to further support search and rescue operations, with the aim of improving decision-making in emergency response. She is also engaged in work examining how GeoAI methods can be incorporated into geospatial learning, both to enhance analytical capability and to support new ways of interacting with spatial data. Her research achievements include the creation of a functional modelling framework for wilderness movement and ongoing collaborations that apply this work in operational settings. Current projects continue to build on these themes, integrating modelling, applied GIS, and emerging spatial technologies.