Geospatial Data Science Techniques and Applications Hardback
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.
- Format: Hardback
- Pages: 258 pages, 19 Tables, black and white; 72 Illustrations, black and white
- Publisher: Taylor & Francis Ltd
- Publication Date: 18/10/2017
- Category: Geographical information systems (GIS) & remote sensing
- ISBN: 9781138626447