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MATLAB® Recipes for Earth Sciences
MATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. The revised and updated Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.
Mathematical Methods in Time Series Analysis and Digital Image Processing
This coherent and articulate volume summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing. The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.
Ritual, Violence, and the Fall of the Classic Maya Kings
Maya kings who failed to ensure the prosperity of their kingdoms were subject to various forms of termination, including the ritual defacing and destruction of monuments and even violent death. This is the first comprehensive volume to focus on the varied responses to the failure of Classic period dynasties in the southern lowlands. The contributors offer new insights into the Maya "collapse," evaluating the trope of the scapegoat king and the demise of the traditional institution of kingship in the early ninth century AD--a time of intense environmental, economic, social, political, and even ideological change. A volume in the series Maya Studies, edited by Diane Z. Chase and Arlen F. Chase
Frontiers In Entropy Across The Disciplines - Panorama Of Entropy: Theory, Computation, And Applications
Frontiers in Entropy Across the Disciplines presents a panorama of entropy emphasizing mathematical theory, physical and scientific significance, computational methods, and applications in mathematics, physics, statistics, engineering, biomedical signals, and signal processing.In the last century classical concepts of entropy were introduced in the areas of thermodynamics, information theory, probability theory, statistics, dynamical systems, and ergodic theory. During the past 50 years, dozens of new concepts of entropy have been introduced and studied in many disciplines. This volume captures significant developments in this arena. It features expository, review, and research papers by dis...
Machine Learning and Data Mining Approaches to Climate Science
This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.
The Maya
Definitively tracing the evolution of the Maya civilization from the arrival of migrating 'first peoples' to the end of the Pre-Columbian Mesoamerican World with the Spanish Conquest in the 16th century AD. A span of some thousands of years are concisely covered in one volume in a thorough study of the evolution of a complex Maya society. A new world of understanding about the ancient Maya civilization has opened up from new archaeological discoveries and studies. The mystery of 'Maya Blue' revealed and an understanding of Maya Arithmetic presented in simplified ways to quickly understand the Maya system with a method to count and do math calculations using a Maya abacus or only using four fingers on each hand. Easy to read and very interesting, providing first an overview, then a chapter by chapter journey through major events in Maya history, concluding with a separated portion of highlighting major aspects in Maya knowledge and ancient ways.
Basic and applied research on deception and its detection
Deception is a ubiquitous phenomenon in social interactions and has attracted a significant amount of research during the last decades. The majority of studies in this field focused on how deception modulates behavioral, autonomic, and brain responses and whether these changes can be used to validly identify lies. Especially the latter question, which historically gave rise to the development of psychophysiological “lie detection” techniques, has been driving research on deception and its detection until today. The detection of deception and concealed information in forensic examinations currently constitutes one of the most frequent applications of psychophysiological methods in the fie...
Droughts, Floods, and Global Climatic Anomalies in the Indian Ocean World
This book explores histories of droughts and floods in the Indian Ocean World, and their connections to broader global climatic anomalies. It deploys an interdisciplinary approach rooted in the emerging field of climate history to investigate the multifaceted effects of global climatic anomalies on regions affected by the Indian Ocean Monsoon System – regularly conceived of as the macro-region’s ‘deep structure.’ Case studies explore how droughts and floods related to anomalous climatic conditions have historically affected states, societies, and ecologies across the Indian Ocean World, including in relation to food security, epidemic diseases, political (in)stability, economic change, infrastructural development, colonialism, capitalism, and scientific knowledge. Tracing longue durée patterns from the twelfth to the early twentieth centuries, this book makes a significant contribution to our understanding of global climatic events and their effects on the Indian Ocean World. It highlights essential historical case studies for contextualizing the potential effects of global warming on the macro-region in the present and future.
MATLAB® Recipes for Earth Sciences
MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression...
