266 Pages
143 Color & 10 B/W Illustrations
by
CRC Press
266 Pages
143 Color & 10 B/W Illustrations
by
CRC Press
266 Pages
143 Color & 10 B/W Illustrations
by
CRC Press
Also available as eBook on:
This book introduces readers to spatiotemporal analytics that are extended from spatial statistics. Spatiotemporal analytics help analysts to quantitatively recognize and evaluate the spatial patterns and their temporal trends of a set of geographic events or objects. Spatiotemporal analyses are very important in geography, environmental sciences, economy, and many other domains. Spatiotemporal... Read more
1. Introduction to Spatiotemporal Analytics.
Jay Lee
2. Spatiotemporal Centrography and Dispersion.
Lang Xue Dang, Huiyu Lin and Jay Lee
3. Spatiotemporal Quadrat Analytics.
Zhuo Chen
4. Spatiotemporal Nearest Neighbor Analytics.
Qingsong Liu and Jay Lee
5. Spatiotemporal Ripley’s K and L Functions.
Jay Lee
6. Spatiotemporal Autocorrelation Analytics.
Shengwen Li, Xuyang Cheng, Bo Wan, Junfang Gong and Jay Lee
7. Spatiotemporal G Statistical Analytics.
Zhuo Chen and Huiyu Lin
8. Spatiotemporal Kernel Density Estimation.
Junfang Gong, Zhuang Zeng, Bo Wan, Shengwen Li, and Jay Lee
9. Spatiotemporally Weighted Regression.
Bo Huang and Sensen Wu
10. Spatiotemporal Bayesian Regression.
Ortis Yankey, Tao Hu, Han Yue, Peixiao Wang, and Xiao Xu
11. Spatiotemporal Process Analytics and Simulations.
Moira O’Neill and Jay Lee
12. Spatiotemporal Analytical Unit Problems.
Lang Xue Dang, Huiyu Lin and Jay Lee
Jay Lee
2. Spatiotemporal Centrography and Dispersion.
Lang Xue Dang, Huiyu Lin and Jay Lee
3. Spatiotemporal Quadrat Analytics.
Zhuo Chen
4. Spatiotemporal Nearest Neighbor Analytics.
Qingsong Liu and Jay Lee
5. Spatiotemporal Ripley’s K and L Functions.
Jay Lee
6. Spatiotemporal Autocorrelation Analytics.
Shengwen Li, Xuyang Cheng, Bo Wan, Junfang Gong and Jay Lee
7. Spatiotemporal G Statistical Analytics.
Zhuo Chen and Huiyu Lin
8. Spatiotemporal Kernel Density Estimation.
Junfang Gong, Zhuang Zeng, Bo Wan, Shengwen Li, and Jay Lee
9. Spatiotemporally Weighted Regression.
Bo Huang and Sensen Wu
10. Spatiotemporal Bayesian Regression.
Ortis Yankey, Tao Hu, Han Yue, Peixiao Wang, and Xiao Xu
11. Spatiotemporal Process Analytics and Simulations.
Moira O’Neill and Jay Lee
12. Spatiotemporal Analytical Unit Problems.
Lang Xue Dang, Huiyu Lin and Jay Lee
Biography
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.
