Minisymposium (ID: SS-TSMDA)

Topics in Spatiotemporal Modelling and Data Analysis

Devan Becker, Sunny Wang and Sukhjit Singh Sehra (Wilfrid Laurier University)

Events that are "close" in space and time tend to be more similar than events that are further apart. Taking advantage of this leads to meaningful insights into the structure of many phenomena, but this also means a stark increase in theoretical and computational complexity. This session showcases research that incorporates the spatial and temporal dimensions into statistical or mathematical models, either by extending the theory to account for spatiotemporal information or by highlighting the challenges and opportunities of incorporating this information into applied modelling.

Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-2023 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2023 Proceedings.

If you intend to submit your paper, please go to the AMMCS Proceedings Page. Follow exactly the Author Instructions accessible from that page.