Data Science Has Recently Gained Much Attention For A Number Of Reasons, And Among Them Is Big Data. Scientists (from Almost All Disciplines Including Physics, Chemistry, Biology, Sociology, Among Others) And Engineers (from All Fields Including Civil, Environmental, Chemical, Mechanical, Among Others) Are Faced With Challenges Posed By Data Volume, Variety, And Velocity, Or Big Data. This Book Is Designed To Highlight The Unique Characteristics Of Geospatial Data, Demonstrate The Need To Different Approaches And Techniques For Obtaining New Knowledge From Raw Geospatial Data, And Present Select State-of-the-art Geospatial Data Science Techniques And How They Are Applied To Various Geoscience Problems. -- Machine Generated Contents Note: 1. Geospatial Data Science: A Transdisciplinary Approach / Shashi Shekhar -- 2. Geocoding Fundamentals And Associated Challenges / Eric Delmelle -- 3. Deep Learning With Satellite Images And Volunteered Geographic Information / Alexander Zipf -- 4. Visual Analysis Of Floating Car Data / Liqiu Meng -- 5. Recognizing Patterns In Geospatial Data Using Persistent Homology: A Study Of Geologic Fractures / Bobak Karimi -- 6. Lidar For Marine Applications / Nathan Murry -- 7. Spatiotemporal Point Pattern Analysis Using Ripley's K Function / Irene Casas -- 8. Geospatial Data Science Approaches For Transport Demand Modeling / Stephan Winter -- 9. Geography Of Social Media In Public Response To Policy-based Topics / Brian Spitzberg -- 10. Geospatial Data Streams / Zdravko Galic. Hassan Karimi And Bobak Karimi. Includes Bibliographical Refarences And Index. Content: 1. Geospatial Data Science: A Transdisciplinary Approach[Emre Eftelioglu, Reem Y. Ali, Xun Tang, Yiqun Xie, Yan Li, and Shashi Shekhar]2. Geocoding Fundamentals and Associated Challenges[Claudio Owusu, Yu Lan, Minrui Zheng, Wenwu Tang, and Eric Delmelle]3. Deep Learning with Satellite Images and Volunteered Geographic Information[Jiaoyan Chen and Alexander Zipf]4. Visual Analysis of Floating Car Data[Linfang Ding, Jukka M. Krisp, and Liqiu Meng]5. Recognizing Patterns in Geospatial Data Using Persistent Homology: A Study of Geologic Fractures[Kathryn A. Bryant and Bobak Karimi]6. LiDAR for Marine Applications[Ajoy Kumar and Nathan Murry]7. Spatiotemporal Point Pattern Analysis Using Ripley's K Function[Alexander Hohl, Minrui Zheng, Wenwu Tang, Eric Delmelle, and Irene Casas]8. Geospatial Data Science Approaches for Transport Demand Modeling[Zahra Navidi, Rahul Deb Das, and Stephan Winter]9. Geography of Social Media in Public Response to Policy-Based Topics[Xinyue Ye, Shengwen Li, Adiyana Sharag-Eldin, Ming-Hsiang Tsou, and Brian Spitzberg]10. Geospatial Data Streams[Zdravko Galic] The lack of a clear understanding of geoscience science data techniques and related uncertainties could generate incorrect results and interpretations.
