Technische Daten
Erscheinungsdatum
30.03.2018
Herausgeber
Springer International Publishing
Auflage
Softcover reprint of the original 1st edition 2015
Autorenporträt
Laura G. Tateosian is a professor at the Center for Geospatial Analytics at North Carolina State University. She earned her B.A. in Mathematics from Towson University, her M.S. in Mathematics from the University of Oklahoma, and her Ph.D. in computer science from North Carolina State University. She has more than 8 years of experience teaching Python programming for GIS and receives outstanding teaching evaluations. In 2014, she received an award for her teaching at North Carolina State University. Her research involves geospatial data analysis, aesthetic geovisualization, eye-tracking for map and visualization design, and automatic narrative mapping with Python and ArcGIS. Her research has published in refereed conferences and journals, such as, Information Visualization, International Journal for Uncertainty Quantification, Transactions in GIS, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, the proceedings of the International Symposium on Non-Photorealistic Animation and Rendering, the International Symposium on Applied Perception in Graphics and Visualization, and IEEE Computer Graphics & Applications (Visualization Viewpoints).
Schlagwörter
ArcGIS, ArcPy, Batch processing, Computer programming, GIS, Geographic information science, Geoprocessing, Geospatial analysis, Geospatial data processing, Geospatial information science, Python, Scripting, Streamline workflow
Thema-Inhalt
RGW - Geographische Informationssysteme (GIS) und Fernerkundung
UMC - Compiler und Übersetzer
UX - Angewandte Informatik
RB - Geowissenschaften
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