Spatial Data Analysis

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

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

Based on extensive data collection, Big Worlds provides a historical-comparative analysis of politics and elections in the Canadian provinces and territories.

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

High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows–Wheeler indexes, graph algorithms and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualisations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise

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

Surprising spatial experiences for all senses: This book features art, interior design, architecture, and striking scenography that leave lasting impressions. It is not a paradox that today--in the er

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

This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a focus on comparing different computational approaches and explain

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. Th

The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production

This book applies the discourse of the so-called ‘spatial turn’ to popular contemporary cinema, in particular the action sequences of twenty-first century Hollywood productions. Tackling a variety of

Lecturers, request your electronic inspection copyThis innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approac

Lecturers, request your electronic inspection copyThis innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approac

"Through the idea of the vocalic space of the poem, alongside the poem 'as' and poem 'of' space, Spatial Engagement with Poetry re-establishes the voice and space as equally important, and necessarily

Applied Theatre: Research is the first book to explore applied theatre as a data generation, analysis and research reporting approach.

Applied Theatre: Research is the first book to explore applied theatre as a data generation, analysis and research reporting approach.

A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuse

This book brings together ten original empirical works focusing on the influence of various types of spatial mobility – be it international or national– on partnership, family and work life. The contr

Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly expl

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