Table of contents
About this book
This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.
Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.
Editors and affiliations
- DOI https://doi.org/10.1007/978-981-10-4424-3
- Copyright Information Springer Nature Singapore Pte Ltd. 2017
- Publisher Name Springer, Singapore
- eBook Packages Earth and Environmental Science
- Print ISBN 978-981-10-4423-6
- Online ISBN 978-981-10-4424-3
- Series Print ISSN 1867-2434
- Series Online ISSN 1867-2442
- About this book