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Representations and topology-based methods for geospatial data analysis and visualization
Leila De Floriani
Virtual-https://umd.zoom.us/j/93637673064?pwd=TzJYcE15UXg0MTJSQXJ5UFFLMlBNZz09
Friday, October 9, 2020, 11:00 am-12:00 pm Calendar
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Abstract

 

Enabling insight into large and complex spatial datasets is the central theme in scientific data visualization research. Visualizing large spatial data sets requires efficient data representation methods, powerful analysis algorithms for data transformation and effective rendering and human-computer interaction  methods to allow domain experts to gain insight from the  data. We consider here geospatial data representing continuous phenomena, such as scalar fields  (terrains, 2D or 3D images,  unstructured volume data sets, etc.),  and multifields,  collections of fields  with different modalities. The talk will focus on the first two steps of the data visualization pipeline, and specifically on compact and scalable representations for large-size spatial data sets, and on data transformation methods based on topological data analysis.  Applications will be discussed to bathymetric data analysis for marine navigation, to tree segmentation from LiDAR (Light Detection and Ranging) point clouds  for forest management, to multifield environmental data visualization. 

Bio

Leila De Floriani is a professor at the University of Maryland with a joint appointment with the Department of Geographical Sciences and UMIACS, and affiliated with the Department of Computer Science. She  has previously been a professor at the University of Genova (Italy), and has also held positions at the University of Maryland, Nebraska, Rensselaer Polytechnic Institute, and the Italian National Research Council. De Floriani is the 2020 President of the IEEE Computer Society. She has been a member of the Board of Governors of the IEEE Computer Society. She is a Fellow of the IEEE, a Fellow of the International Association for Pattern Recognition, a Fellow of the Eurographics Association,  and  a Pioneer of the Solid Modeling Association. She is an IEEE Computer Society Golden Core Member and a member of the IEEE Honor Society IEEE-HKN. She has been the editor-in-chief of the IEEE Transactions on Visualization and Computer Graphics (TVCG) from 2015-2018, and served as an associate editor for IEEE TVCG from 2004-2008. She is currently an associate editor of ACM Transactions on Spatial Algorithms and Systems, Computers and Graphics, GeoInformatica, and Graphical Models. She has served on the program committees of over 150 leading international conferences, including several IEEE conferences, and has contributed to many conferences in a leadership capacity. De Floriani has authored over 300 peer-reviewed scientific publications in data visualization, geospatial data representation and processing, computer graphics, geometric modeling, shape analysis and understanding, garnering several best paper awards and invitations as a keynote speaker. 

 

This talk is organized by Richa Mathur