Sprecher |
Ross Maciejewski, Arizona State University in the School of Computing, Informatics & Decision Systems Engineering |
Titel |
Visual Analytics Methods for Spatiotemporal Analysis |
From smart phones to fitness trackers to sensor enabled buildings, data is currently being
collected at an unprecedented rate. Now, more than ever, data exists that can be used to gain
insight into how policy decisions can impact our daily lives. For example, one can imagine using
data to help predict where crime may occur next or inform decisions on police resource allocations
or diet and activity patterns could be used to provide recommendations for improving an
individual's overall health and well-being. For spatial data, the translation of such data into a
visual form allows users to quickly
Speaker’s Bio Ross Maciejewski is an Associate Professor at Arizona State University in the School of
Computing, Informatics & Decision Systems Engineering. His primary research interests are in
the areas of geographical visualization and visual analytics focusing on public
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