Spatiotemporal Analytics
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• Provides a comprehensive understanding of spatiotemporal analytics to readers with minimum knowledge in statistics.
• Written in simple, understandable language with step-by-step instructions.
• Includes numerous examples for all theories and methods explained in the book covering a wide range of applications from different disciplines.
• Each application includes a software code needed to follow the instructions.
• Each chapter also has a set of prepared PowerPoint slides to help spatiotemporal analytics instructors explain the content.
Undergraduate and graduate students who use Geographic Information Systems or study Geographical Information Science will find this book useful. The subject matter is also pertinent to an array of disciplines such as agriculture, anthropology, archaeology, architecture, biology, business administration and management, civic engineering, criminal justice, epidemiology, geography, geology, marketing, political science, and public health.
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Jay Lee received his doctoral degree in Geography from the University of Western Ontario in 1989. Since then, he has tagut GIS and related courses at Kent State University. His research in applied geography aims at solving practical problems that the society faces. Dr. Lee applied spatial and spatiotemporal analysis of geographic information in his works of over 120 published journal articles, book chapters and books. Among others, he has co-authored two widely read books on statistical analysis of geographic information with GIS. Dr. Lee’s research grants include funding supports from NSF, USGS, EPA, NIJ, HUD, NASA, NOAA, and other state and local agencies.
