Multidimensional Data Visualization

Since the last edition ten years ago the pace of technological and legal change has stepped up even more than before with previous editions. New legislation is in force such as the General Data Protec

A new wave of enthusiasm for smart cities, urban data, and the Internet of Things has created the impression that computation can solve almost any urban problem. Subjecting this claim to critical scru

Until the 1960s, little was known inside or outside Iran about the tribes living in the country. The anthropological research of Erika Friedl is now renowned for presenting comprehensive data collecte

There's nothing greater than collecting data!Investigate the world of insects through observation and scientific research. Study habitats, life cycles, food webs and much more through step-by-step

There's nothing greater than collecting data!Investigate the world of plants through observation and scientific research. Study habitats, photosynthesis, germination and much more through step-by-st

王者回來了！R語言與Big Data的最強結合 本書特色1：完全零基礎可以輕鬆學習。2：學習最新版R語言。3：從無到有一步一步教導讀者R語言的使用。4：學習本書不需要有統計基礎，但在無形中本書已灌溉了統計知識給你。5：精彩的圖表製作，讀者可以學會資料視覺化使用R。6：完整講解所有R語言語法與使用技巧。7：豐富的程式實例與解說，讓你事半功倍。8：全書涵蓋是非、選擇、複選習題解答。9：讀者

Written by a team of experts from 36 Commercial, this new title describes the developing substance of cyber litigation setting out the position as regards: - disputes where the subject matter is data

This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.

This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.

The Cosmic Microwave Background (CMB), the radiation left over from the Big Bang, is arguably the most important topic in modern cosmology. Its theory and observation have revolutionized cosmology from an order-of-magnitude science to a precision science. This graduate textbook describes CMB physics from first principles in a detailed yet pedagogical way, assuming only that the reader has a working knowledge of General Relativity. Among the changes in this second edition are new chapters on non-Gaussianities in the CMB and on large-scale structure, and extended discussions on lensing and baryon acoustic oscillations, topics that have developed significantly in the last decade. Discussions of CMB experiments have been updated from WMAP data to the new Planck data. The CMB success story in estimating cosmological parameters is then treated in detail, conveying the beauty of the interplay of theoretical understanding and precise experimental measurements.

Experimental political science has changed. In two short decades, it evolved from an emergent method to an accepted method to a primary method. The challenge now is to ensure that experimentalists design sound studies and implement them in ways that illuminate cause and effect. Ethical boundaries must also be respected, results interpreted in a transparent manner, and data and research materials must be shared to ensure others can build on what has been learned. This book explores the application of new designs; the introduction of novel data sources, measurement approaches, and statistical methods; the use of experiments in more substantive domains; and discipline-wide discussions about the robustness, generalizability, and ethics of experiments in political science. By exploring these novel opportunities while also highlighting the concomitant challenges, this volume enables scholars and practitioners to conduct high-quality experiments that will make key contributions to knowledge.

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, discrete, roughness penalties. They were introduced by the authors in 1996 and have been used in many diverse applications. The regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors demonstrate optimal smoothing, using mixed model technology and Bayesian estimation, in addition to classical tools like cross-validation and AIC, covering theory and applications with code in R. Going far beyond simple smoothing, they also show how to use P-splines for regression on signals, varying-coefficient models, quantile and expectile smoothing, and composite links for grouped data. Penalties are the crucial elements of P-splines; with proper modifications they can handle periodic and circular data as well as shape constraints. Combining penalties with tensor products of B-splines extends these

Experimental political science has changed. In two short decades, it evolved from an emergent method to an accepted method to a primary method. The challenge now is to ensure that experimentalists design sound studies and implement them in ways that illuminate cause and effect. Ethical boundaries must also be respected, results interpreted in a transparent manner, and data and research materials must be shared to ensure others can build on what has been learned. This book explores the application of new designs; the introduction of novel data sources, measurement approaches, and statistical methods; the use of experiments in more substantive domains; and discipline-wide discussions about the robustness, generalizability, and ethics of experiments in political science. By exploring these novel opportunities while also highlighting the concomitant challenges, this volume enables scholars and practitioners to conduct high-quality experiments that will make key contributions to knowledge.

Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for polic

Winemakers Éric and Saskia de Rothschild lead readers through 150 vintages of Château Lafite, sharing scientific and climatic data and visual memories since the family’s arrival in 1868. Over the past

SQL(Structured Query Language)是關系數據庫的基本操作語言，它主要包括數據查詢(Query statements)、數據操縱(Data Manipulation Language statements)、數據定義(Data Definition Language statements)等功能，是應用程序與數據庫進行交互操作的接口。PL/SQL(Procedural La

An analysis of visual epistemology in the digital humanities, with attention to the need for interpretive digital tools within humanities contexts.In the several decades since humanists have taken up

Stories of massive data breaches litter the 24-hour newsday headlines. Hackers and cybercrime syndicates are hitting a who’s who of banks, retailers, law firms, and healthcare organizations: companies

This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using MATLAB®. This technology is critical in the evaluation of medical and diagnostic data utilized in mobile devic

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv

There's nothing greater than collecting data!Investigate pollution through observation and scientific research. Study air pollution, global warming, water pollution and much more through step-by-step

There's nothing greater than collecting data!Investigate the world of birds through observation and scientific research. Study habitats, migration, nesting and much more through step-by-step experimen

April Falcon Doss, a cybersecurity and privacy expert with experience working for the NSA and the US government, explores the most common types of data being collected about individuals today and delv

A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited

This definitive new book should appeal to everyone who produces, uses, or evaluates scientific data. Ensures accuracy and reliability. Dr. Taylor's book provides guidance for the development and imple

A primer for learning SAS and analytics quickly, the book makes use of real-world data analysis steps. Filled with line-by-line code explanations, it is packed with fully functional and easily modifia

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing

The International Conference on Cognitive Modeling brings together researchers who develop computational models that explain and predict cognitive data. The 2004 conference encompassed an integration

This book explores the factors which are critical in the selection of an appropriate animal species for toxicology studies and the subsequent extrapolation of the data to humans. It provides some futu

This book helps companies to develop a poor-quality-cost system that will provide management and the employers with data to identify improvement opportunities, optimize the effectiveness of the improv

This book comprises an introduction to information as an external commodity; a data base that can be manipulated, retrieved, transmitted, and used. It is useful at an introductory undergraduate level

S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. This book focuses on statistical techniques, applies them to one or more data

Provides yearly data on fatalities, refugees and internally displaced people for all major armed conflicts, alongside in-depth analysis of their political, military and humanitarian dimensions.

Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a syste

An essential reference on critical hazardous materials data, First Reponder's Guide to Agricultural Chemical Accidents provides emergency safety and health information for 452 toxic and hazardous prod

A primer for learning SAS and analytics quickly, the book makes use of real-world data analysis steps. Filled with line-by-line code explanations, it is packed with fully functional and easily modifia