Geospatial Data Science Techniques and Applications (Paperback, 1)

Geospatial Data Science: A Transdisciplinary Approach. Geocoding Fundamentals and Associated Challenges. Deep Learning with Satellite Images and Volunteered Geographic Information. Visual Analysis of Floating Car Data. Recognizing Patterns in Geospatial Data Using Persistent Homology: A Study of Geologic Fractures. LiDAR for Marine Applications. Spatiotemporal Point Pattern Analysis Using Ripley’s K Function. Geospatial Data Science Approaches for Transport Demand Modeling. Geography of Social Media in Public Response to Policy-Based Topics. Geospatial Data Streams.