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This book approaches the realisation of digital terrain and landscape data through clear and practical examples. From data provision and;
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Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the;
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The volume deals with the effects of digitization on spatial and especially landscape construction processes and their visualization. A;
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Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization;
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of gradual development and application of digital surface models. This process covers data capture, data generation, storage, model creation;
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typical digital terrain modeling workflow that starts with data capture, continues with data preprocessing and DEM generation, and concludes with;
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Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book;
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skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview;
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skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview;
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develop exciting visualizations and animations with your own data. 3D Scientific Visualization with Blender takes you through an understanding;
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Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital;
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This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies;
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chapters cover the terrain of a complex social and political environment, revealing how modern China deals with digital media and issues;
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field of information visualization, whose technology is increasingly applied in scientific research, digital libraries, data mining, financial;
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This book provides an overview of the application of color theory concepts to digital media and visualization. It highlights specific color;
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visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis;
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visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis;
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-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D;
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presents a series of standard problems in visualization for the humanities (including time/temporality, space/spatial relations, and data analysis;
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barriers impeding information management at the point-of-care and discusses strategies for better data visualization including multimedia displays;
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. You'll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python's popular data visualization charting;
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begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Pythons popular data visualization charting library;
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component of both academic research and commercial product development in the field of engineering design. Computer Visualization presents a unified;
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component of both academic research and commercial product development in the field of engineering design. Computer Visualization presents a unified;
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Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features;
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Digital Cities stakes claim to an interdisciplinary terrain where the humanities and social sciences combine with digital methods;
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of technologies having evolved, such as graphing calculators, dynamic graphing, dynamic geometry and data visualization tools. But what does this mean for;
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