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Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science and geology. Divided into three parts, the book first examines main concepts, principles, and methods of digital terrain modeling. It then looks at methods for analysis, modeling, and mapping of spatial distribution of soil properties using digital terrain analysis, before finally considering techniques for recognition, analysis, and interpretation of topographically manifested geological features. Digital Terrain Analysis in Soil Science and Geology, Second Edition, is an updated and revised edition, providing both a theoretical and methodological basis for understanding and applying geographical modeling techniques. - Presents an integrated and unified view of digital terrain analysis in both soil science and geology - Features research on new advances in the field, including DEM analytical approximation, analytical calculation of local morphometric variables, morphometric globes, and two-dimensional generalized spectral analytical methods - Includes a rigorous description of the mathematical principles of digital terrain analysis - Provides both a theoretical and methodological basis for understanding and applying geographical modeling
Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data a
Dieses Buch untersucht, welchen Einfluß Landschaftsformen, insbesondere Höhenunterschiede, auf die an der Erdoberfläche ablaufenden Prozesse haben. Wasserbewegungen, die Sonneneinstrahlung sowie die Bodenentwicklung und -erosion werden alle mehr oder minder durch die Form der Landschaftsoberfläche gesteuert. Die Anwendungsmöglichkeiten der Landschaftsanalyse sind vielfältig: Sie reichen von Studien über Wasserscheiden und Feuchtgebiete über Bodenkunde und Erosionsstudien, Landschafts- und Landnutzungsstudien bis zu geomorphologischer Forschung und regionalen und globalen Ökologiestudien. Darüber hinaus kann die Landschaftsanalyse auch zu meteorologischen Vorhersagen sowie bei Problemen mit TV- oder Radiosignalempfang eingesetzt werden. Dieses Forschungsgebiet hat in Verbindung mit den jüngsten Fortschritten auf dem Gebiet der GIS und GPS eine rasante Entwicklung durchlaufen. In diesem Band werden alle diese neuen Ansätze und Anwendungsbereiche umfassend erläutert. (y05/00)
The specialist contributors to Geomorphological Techniques have thoroughly augmented and updated their original, authoritative coverage with critical evaluations of major recent developments in this field. A new chapter on neotectonics reflects the impact of developments in tectonic theory, and heavily revised sections deal with advances in remote sensing, image analysis, radiometric dating, geomorphometry, data loggers, radioactive tracers, and the determination of pore water pressure and the rates of denudation.
Terrain analysis has attracted research studies from geographers, surveyors, engineers and computer scientists. The contributions in this book represent the state-of-the-art of terrain analysis methods and techniques in areas of digital representation, morphological and hydrological models, uncertainty and applications of terrain analysis. The book will appeal to postgraduate and senior undergraduate students who take advanced courses in GIS and geographical analysis.
Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective. Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions about how the combined factors that contribute to criminal behavior can be targeted, connections to crime can be monitored, spatial vulnerabilities can be assessed, and actions can be taken to reduce worst effects. As a diagnostic method, RTM offers a statistically valid way to identify vulnerable places. To learn more, visit http://www.riskterrainmodeling.com and begin using RTM with the many free tutorials and resources.
Terrain has a profound effect upon the strategy and tactics of any military engagement and has consequently played an important role in determining history. In addition, the landscapes of battle, and the geology which underlies them, has helped shape the cultural iconography of battle certainly within the 20th century. In the last few years this has become a fertile topic of scientific and historical exploration and has given rise to a number of conferences and books. The current volume stems from the international Terrain in Military History conference held in association with the Imperial War Museum, London and the Royal Engineers Museum, Chatham, at the University of Greenwich in January 2000. This conference brought together historians, geologists, military enthusiasts and terrain analysts from military, academic and amateur backgrounds with the aim of exploring the application of modem tools of landscape visualisation to understanding historical battlefields. This theme was the subject of a Leverhulme Trust grant (F/345/E) awarded to the University of Greenwich and administered by us in 1998, which aimed to use the tools of modem landscape visualisation in understanding the influence of terrain in the First World War. This volume forms part of the output from this grant and is part of our wider exploration of the role of terrain in military history. Many individuals contributed to the organisation of the original conference and to the production of this volume.
The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.
Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spat