Spatial Data Analysis

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well

This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening: to the contrary, collection and analysis

Big Data For Beginners!The Ultimate Beginners Crash Course To Understanding And Interpreting Big Data!Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved

This major study of animal orientation in space launches the Princeton Series in Neurobiology and Behavior. Bringing together for the first time the important work done on spatial orientation over the

Neoliberal Spatial Governance explores the changing nature of English town and city planning as it has slowly but clearly transformed. Once a system for regulating and balancing change in the

This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on ge

Multi-scale systems, involving complex interacting processes that occur over a range of temporal and spatial scales, are present in a broad range of disciplines. Several methodologies exist to retrieve this multi-scale information from a given time series; however, each method has its own limitations. This book presents the mathematical theory behind the stochastic analysis of scaling time series, including a general historical introduction to the problem of intermittency in turbulence, as well as how to implement this analysis for a range of different applications. Covering a variety of statistical methods, such as Fourier analysis and wavelet transforms, it provides readers with a thorough understanding of the techniques and when to apply them. New techniques to analyse stochastic processes, including empirical mode decomposition, are also explored. Case studies, in turbulence and ocean sciences, are used to demonstrate how these statistical methods can be applied in practice, for st

This study examines contracting trends at the U.S. Department of Defense (DoD). It relies on empirical analysis of DoD contracting transaction data from the open-source Federal Procurement Data System

Geodemographics is a technique of market segmentation and a well-established data-driven analysis tool for marketers. Since its inception in 1979, its classifications have been widely used in customer

This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide

?This book provides a modern introductory tutorial on specialized theoretical aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this

Load, wrangle, and analyze your data using the world's most powerful statistical programming languageAbout This BookLoad, manipulate and analyze data from different sourcesGain a deeper understanding

The current popular and scientific interest in virtual environments has provided a new impetus for investigating binaural and spatial hearing. However, the many intriguing phenomena of spatial hearing

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

Editors Neergaard and Leitch present readers with a collection of expert contributions that together make up a handbook of qualitative data collection and analysis specific to the field of entrepreneu

This graduate text book provides a formal analysis of alternative, non-relational data models and storage mechanisms and gives a decent overview of non-SQL query languages. It describes a perspective

The locations of trees in a forest, new cases of a disease, or gold deposits mapped in a geological survey are all examples of a spatial point pattern—a dataset that provides the observed spatial loca

Written from the perspective of developing countries, this book discusses the development process from a spatial perspective, focussing particularly on the evoltuion of the intra-national space-econom

This book offers an ideal introduction to the analysis of demographic data. Inside, readers of all quantitative skill levels will find the information they need to develop a solid understanding of the

There can be no justice that is not spatial. Against a recent tendency to despatialise law, matter, bodies and even space itself, this book insists on spatialising them, arguing that there can be neit

This work provides in-depth analysis of the origins of landscape ecology and its close alignment with the understanding of scale, the causes of landscape pattern, and the interactions of spatial patte

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

The advances in solar, planetary, and extrasolar science employing polarimetric tools are far-reaching, and the pace of discovery is accelerating rapidly. In the last three decades, the emphasis of solar polarimetry has been to achieve simultaneously high spectral, spatial, and temporal resolution for all four Stokes parameters. In the field of stellar polarimetry the developments have been equally impressive, in allowing the detection and surface mapping of magnetic fields across the Hertzsprung–Russell diagram. This volume, arising from IAU Symposium 305, is devoted to sharing advances in science, data analysis, modeling, and instrumentation between solar and non-solar polarimetry communities. Given the relevance of polarimetric measurements to many aspects of astrophysics, the techniques and physical interpretations addressed within the book will be of interest to a wide audience of researchers and advanced students, in addition to those from solar and stellar communities.

Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This pr

The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techni

This book focuses on a special group of auditory interfaces using spatial sound for the representation of information. The addition of information on the location of a selected sound source or a group

This new book aims to provide both beginners and experts with a completely algorithmic approach to data analysis and conceptual modeling, database design, implementation, and tuning, starting from vag

Imagery, Language and Visuo-Spatial Thinking discusses the remarkable human ability to use mental imagery in everyday life: from helping plan actions and routes to aiding creative thinking; from makin

Bridging the gap between the marketer who must put text analytics to use and data analysis experts,Practical Text Analytics is an accessible guide to the many advances in text analytics. It explains t

The growing availability of large collections of language texts has expanded our horizons for language analysis, enabling the swift analysis of millions of words of data, aided by computational method

This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for th

This book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investi

Unique in its integration of theory and application, The Practice of Survey Research explains survey design, implementation, data analysis, and continuing data management, including how to effectively

Spatial cognition is a broad field of enquiry, emerging from a wide range of disciplines and incorporating a wide variety of paradigms that have been employed with human and animal subjects. This volu

Representation of the visual and spatial properties of our environment is a pivotal requirement of everyday cognition. We can mentally represent the visual form of objects. We can extract information

In this timely and comprehensive text, Cesare Cornoldi and Tomaso Vecchi describe their recently developed experimental approach to the investigation of visuo-spatial cognition, based upon the analysi

Numerical analysis deals with the manipulation of numbers to solve a particular problem. This book discusses in detail the creation, analysis and implementation of algorithms to solve the problems of continuous mathematics. An input is provided in the form of numerical data or it is generated as required by the system to solve a mathematical problem. Subsequently, this input is processed through arithmetic operations together with logical operations in a systematic manner and an output is produced in the form of numbers. Covering the fundamentals of numerical analysis and its applications in one volume, this book offers detailed discussion on relevant topics including difference equations, Fourier series, discrete Fourier transforms and finite element methods. In addition, the important concepts of integral equations, Chebyshev Approximation and Eigen Values of Symmetric Matrices are elaborated upon in separate chapters. The book will serve as a suitable textbook for undergraduate stud

Presents 18 typical tests that gauge an individual's mechanical aptitude and spatial ability, with all questions answered and explained. Also offers diagrams, illustrations, test-taking tips, and more

Over the past several years, "spatial reasoning" has gained renewed prominence among mathematics educators, as spatial skills are proving to be not just essential to mathematical und

Over the past several years, "spatial reasoning" has gained renewed prominence among mathematics educators, as spatial skills are proving to be not just essential to mathematical und