Spatiotemporal Analytics
About This Book
Spatiotemporal analytics builds on the methods of spatial statistics by adding a time dimension. Its tools let analysts measure how geographic events or objects are arranged across space and how those arrangements change over time. This kind of analysis matters in geography, environmental science, economics, and many other fields. The book presents spatiotemporal data, statistical reasoning, underlying theories, and techniques in plain language, assuming little prior knowledge of statistics. Each chapter centers on a case study that serves as a worked example, with step-by-step instructions. Software code is provided for every application, so readers can apply the methods in their own projects as well as learn the statistics. Numerous examples from a range of disciplines illustrate each theory and method. The text is aimed at undergraduate and graduate students in Geographic Information Systems and Geographic Information Science. Its subject also applies to fields such as agriculture, anthropology, archaeology, architecture, biology, business administration and management, civil engineering, criminal justice, epidemiology, geography, geology, marketing, political science, and public health. Instructors can use a set of PowerPoint slides prepared for each chapter.
ISBN: 9781032303055
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