Abstract
This chapter provides an overview of spatial and spatiotemporal big data science. This chapter starts with the unique characteristics of spatial and spatiotemporal data, and their statistical properties. Then, this chapter reviews recent computational techniques and tools in spatial and spatiotemporal data science, focusing on several major pattern families, including spatial and spatiotemporal outliers, spatial and spatiotemporal association and tele-connection, spatial and spatiotemporal prediction, partitioning and summarization, as well as hotspot and change detection.
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