An Introduction to Big Data Analytics
Erik G. Hoel · Special publications · 2022
Big data analytics, in the context of geospatial data, employs distributed computing using advanced tools that support spatiotemporal analysis, spatial statistics, and machine learning algorithms and techniques (e.g., classification, clustering, and prediction) on very large spatiotemporal data sets to visualize, detect patterns, gain deeper understandings, and answer questions. In this chapter, the key definitions, domain specific problems, analysis concepts, current technologies and tools, and remaining challenges are discussed.