Exploratory Analysis of Spatial and Temporal Data A Systematic Approach
"Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach" is a comprehensive book by Natalia Andrienko and Gennady Andrienko that focuses on analyzing and visualizing spatial and temporal data. The book introduces a systematic approach to exploring such data, which involves three components: data, tasks, and tools.
The first section of the book introduces the concept of data analysis and the objectives of the book, followed by a detailed overview of the structure, properties, and examples of spatial and temporal data. The authors discuss various data types, such as the Portuguese Census, forests in Europe, earthquakes in Turkey, and weather in Germany, and highlight the importance of understanding the properties of the data in conducting effective analyses.
The second section of the book focuses on tasks related to spatial and temporal data analysis. The authors provide an overview of Jacques Bertin's view of tasks, which is a framework for understanding the different types of tasks that can be performed when analyzing data. They also describe the different types of tasks, including elementary tasks, synoptic tasks, and connection discovery, and provide examples of how these tasks can be used to explore data.
The third section of the book covers tools for exploring spatial and temporal data, with a particular emphasis on visualization. The authors discuss the value of visualization and its different types, such as Bertin's theory, and describe the different dimensions and variables of visualization. They also provide examples of different visualization techniques, such as display manipulation, data manipulation, and querying.
Overall, "Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach" is a valuable resource for anyone interested in exploring spatial and temporal data. The book provides a comprehensive overview of the different components involved in this process and offers practical insights into how to effectively analyze and visualize such data.
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