Spatial Data Analysis

How is your school data performing for you? Examine the ways your school can better use student achievement data, nonacademic student data, staff data, and parent/community data to identify areas for

IAU Symposium 271 enhances our understanding of some of the important dynamical processes that are ubiquitous in many objects in the Universe, from stars like our Sun to galaxies. A wide range of temporal and spatial scales are generally present, so instabilities, highly nonlinear states and turbulence play a central role. Understanding the behaviour and evolution of such systems requires high-accuracy, multi-scale observations and thoughtful analysis of the data gathered, coupled with detailed theoretical study. High-performance numerical simulations have become an essential and revealing tool for assessing the often subtle highly nonlinear regime of such models. In IAU S271 world experts share their knowledge and perspectives on the latest advances in studying the common underlying processes from the field of nonlinear astrophysical dynamics. The symposium also celebrates the long and illustrious career of Professor Juri Toomre and his achievements in many realms of astrophysical dyn

Behavioral scientists – including those in psychology, infant and child development, education, animal behavior, marketing and usability studies – use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time. This book emphasizes digital means to record and code such behavior; while observational methods do not require them, they work better with them. Key topics include devising coding schemes, training observers and assessing reliability, as well as recording, representing and analyzing observational data. In clear and straightforward language, this book provides a thorough grounding in observational methods along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis with a computer program developed by the authors. The book is rich with examples of coding schemes and different approaches to sequential analysis

Behavioral scientists – including those in psychology, infant and child development, education, animal behavior, marketing and usability studies – use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time. This book emphasizes digital means to record and code such behavior; while observational methods do not require them, they work better with them. Key topics include devising coding schemes, training observers and assessing reliability, as well as recording, representing and analyzing observational data. In clear and straightforward language, this book provides a thorough grounding in observational methods along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis with a computer program developed by the authors. The book is rich with examples of coding schemes and different approaches to sequential analysis

Spatial and social cognition are entwined in multiple ways. This volume explores how social, cognitive, neuropsychological and, linguistic approaches converge in explaining the surprising links betwee

An up-to-date, detailed set of notes covering all aspects of NOAA AVHRR data collection, pre-processing, analysis and application. Includes many FTP sites, e-mail addresses and URL locations. Some cha

This collection of thirty-nine original papers covers a variety of important topics, including multivariate analysis, testing procedures, multiresponse experiments, categorical data analysis, statisti

" A comprehensive treatment that focuses on how to create efficient data structures and algorithms, this text helps readers understand how to select or design the data structure that will best solve a

" A comprehensive treatment that focuses on how to create efficient data structures and algorithms, this text helps readers understand how to select or design the data structure that will best solve a

From the 1960s to the 1980s, the analysis of spatial patterns in voting was a distinguished branch of geography, but has fallen into senescence since then. The decline is attributed partly to the incr

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution? of highly non-linear and increasingly complex data

The purpose of this book is to introduce, discuss, illustrate, and evaluate the colorful palette of analytical techniques that can be applied to the analysis of household survey data, with an emphasis

Spatial working memory is the ability to remember the location in which something is perceived, and in addition, the ability to recall a series of visited locations. In this book, top researchers in t

Show Me The Proof! is the analytical companion to Beyond the Numbers by the same author. It is a handbook of analysis tools, data principles, and practical solutions to the challenges educators face i

Interweaving the human aspects of river control with analysis of hydro-physical data, including historical data over the last few centuries, this monograph is a comprehensive evaluation of the Damodar

Spatial planning is a process. The focus of this book is on the sequence of key tasks that constitute the process and on special techniques that are suitable to conduct these tasks. Spatial planners r

Spatial planning is a process. The focus of this book is on the sequence of key tasks that constitute the process and on special techniques that are suitable to conduct these tasks. Spatial planners r

Demonstrates Excel fundamentals, explaining how to build worksheets, use formulas and functions, create charts and perform data analysis, and display data in different types of charts.

This unique book intends to provide a focused analysis of the main Chinese industrial sectors through case studies, data analysis and review of new state-initiated policies. In response to the global

Global Urban Analysis provides a unique insight into the contemporary world economy through a focus on cities. It is based upon a large-scale customised data collection on how leading businesses use c

This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows h

Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applica

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Sn

In order to gain an understanding of the dynamics of human individual and average growth patterns it is essential that the right methods are selected. There are a variety of methods available to analyse individual growth patterns, to estimate variation in different growth measures in populations and to relate genetic and environmental factors to individual and average growth. This volume provides an overview of modern techniques for the assessment and collection of growth data and methods of analysis for individual and population growth data. The book contains the basic mathematical and statistical tools required to understand the concepts of the methods under discussion and worked examples of analyses, but it is neither a mathematical treatise, nor a recipe book for growth data analysis. Aimed at junior and senior researchers involved in the analysis of human growth data, this book will be an essential reference for anthropologists, auxologists and paediatricians.

This book presents a systematic approach to numerical solution for a wide range of spatial contact problems of geotechnics. On the basis of the boundary element method new techniques and effective com

Why has European growth slowed down since the 1990s while American productivity growth has speeded up? This book provides a thorough and detailed analysis of the sources of growth from a comparative industry perspective. It argues that Europe's slow growth is the combined result of a severe productivity slowdown in traditional manufacturing and other goods production, and a concomitant failure to invest in and reap the benefits from Information and Communications Technology (ICT), in particular in market services. The analysis is based on rich new databases including the EU KLEMS growth accounting database and provides detailed background of the data construction. As such, the book provides new methodological perspectives and serves as a primer on the use of data in economic growth analysis. More generally, it illustrates to the research and policy community the benefits of analysis based on detailed data on the sources of economic growth.

This monograph develops a unified methodology for dynamic analysis and minimization of the inertia-induced forces occurring in high speed multiloop planar as well as spatial mechanisms based on the mu

In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. Thi

Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

This book discusses strategic spatial planning with emphasis on the role of values and cognitions dynamics within the planning-evaluation interplay. In the book, values and cognitions dynamics are inv

In recent decades, social work and other social science research disciplines have become increasingly reliant on large secondary data sets, which have increased in both number and accessibility. When

Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. T

The use of secondary data, or existing data that are freely available to researchers who were not involved in the original study, has a long and rich tradition in the social sciences. In recent years

Mapping Spatial PPs focuses on a particular aspect of the internal syntax of prepositional phrases that has been relatively neglected in previous studies: the fine-grained articulation of their struc

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to sele

Used collectively, PSPICE and MATLABR are unsurpassed for circuit modeling and data analysis. PSPICE can perform DC, AC, transient, Fourier, temperature, and Monte Carlo analysis of electronic circuit

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturin

The Handbook of Modern Ion Beam Materials Analysis, Second Edition is a compilation of updated techniques and data for use in the ion-beam analysis of materials. The information presented is unavailable collectively from any other source, and places a strong emphasis on practical examples of the analysis techniques as they are applied to common problems. Revised and updated from the popular handbook previously released in 1995, this edition is written and compiled by over 30 leading authorities in the field of ion beam analysis. The book is an excellent introduction to the fundamentals and lab practices of ion beam analysis and is also useful as a teaching text for undergraduate senior or first-year graduate students. This text is a comprehensive collection of nuclear and atomic data for the applications of ion beam materials analysis. In addition, the DVD includes bonus info - both the Ion Beam Analysis Nuclear Data Library (IBANDL) and GUPIX Subroutines (CSA and YLS) for X-ray Databa

The Handbook of Modern Ion Beam Materials Analysis, 2nd Edition is a compilation of updated techniques and data for use in the ion-beam analysis of materials. The information presented is unavailable collectively from any other source, and places a strong emphasis on practical examples of the analysis techniques as they are applied to common problems. Revised and updated from the popular handbook previously released in 1995, this edition is written and compiled by over 30 leading authorities in the field of ion beam analysis and is an important reference tool for technicians, students and professionals. It is an excellent introduction to the fundamentals and lab practices of ion beam analysis and useful as a teaching text for undergraduate senior or first-year graduate students. It is the most recent and comprehensive collection of nuclear and atomic data for the applications of ion beam materials analysis.

X-ray absorption fine structure spectroscopy (XAFS) is a powerful and versatile technique for studying structures of materials in chemistry, physics, biology and other fields. This textbook is a comprehensive, practical guide to carrying out and interpreting XAFS experiments. Assuming only undergraduate-level physics and mathematics, the textbook is ideally suited for graduate students in physics and chemistry starting XAFS-based research. It contains concise executable example programs in Mathematica 7. Supplementary material available at www.cambridge.org/9780521767750 includes Mathematica code from the book, related Mathematica programs, and worked data analysis examples. The textbook addresses experiment, theory, and data analysis, but is not tied to specific data analysis programs or philosophies. This makes it accessible to a broad audience in the sciences, and a useful guide for researchers entering the subject.