Spatial Data Analysis

How are languages represented in the human brain? Ideas from neuroscience have increasingly been applied to the study of language, exploring the neural processes involved in acquisition, maintenance and loss of language and languages, and the interaction between languages in bi- and multilingual speakers. With a sharp focus on multilingualism, this culmination of cutting-edge research sheds light on this challenging question. Using data from a variety of experiments, this is the first book-length study to offer a new neuroscientific model for analysing multilingualism. Alongside a comprehensive analysis of the theoretical and experimental contributions to the field, it presents new data and analysis obtained from a multilingualism fMRI study. It also includes a unique longitudinal study of second and third language acquisition combined with extensive empirically valid language proficiency data of the subjects. A must-read for researchers and advanced students interested in neurolinguis

This unique volume discusses some recent developments in the theory of spatial branching processes and superprocesses, with special emphasis on spines, Laws of Large Numbers, interactions and random m

This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on SPSS Software. Some 15 years ago serious statistical analyses were cond

The basic physics of a data center is that electricity is converted to heat. Equipment in the data center expends power, generating heat, requiring air conditioning and ventilation equipment to keep t

A system comprises multiple views such as strategy/version n, strategy/version n+1, concept, analysis, design, implementation, structure, behavior and input/output data views. A systems model

Investors and technology gurus have called big data one of the most important trends to come along in decades.Big Data Bootcamp explains what big data is and how you can use it in your company to beco

Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undis

This is the first book focusing on the effect of biased and neutral mediators in civil wars. The argument is tested through analysis of both global data and case studies of contemporary peace processe

"This book examines applied research methods in public and nonprofit organizations by taking an integrative approach to applied research, emphasizing design, data collection, and analysis. Common case

"As demand for data increases, Smart Data Pricing fills a market void in information on telecommunication economics. The book carefully addresses technical issues and workplace policies, system develo

This book offers a well-structured, critical review of the current design practice for tensioned membrane structures, with detailed analysis of the experimental data required and critical issues relat

The volume of data in companies keeps on growing, and most often each business unit, such as marketing, sales, HR, accounting, production, etc., manages its own data. Then the question of how to optim

A renowned economist describes the post-recession job market that is erasing the middle range, leaving only high-earning jobs that utilize machine intelligence and data analysis and low-earning jobs f

In this book an analysis of over 300 animal bone assemblages from English Saxon and Scandinavian sites is presented. The data set is summarised in extensive tables for use as comparanda for future arc

This new volume is a collection of thought-provoking essays on the current state of social and organizational psychology. The topics range from data analysis and interpretation, to research ethics, to

This book originates from a research project involving extensive collection and analysis of primary and secondary materials (scholarly literature, statistical data, and interviews with key actors) on

This volume describes how frontier efficiency methodologies such as Data Envelopment Analysis (DEA) and other techniques such as multi-criteria decision making can help service industries to improve t

UX (User Experience) is a rapidly growing field that marries web design, user research, business planning and data analysis to focus an organisation’s web presence on the needs of their clients and cu

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences

While there are many books available on statistical analysis of data from experiments, there is significantly less available on the design, development, and actual conduct of the experiments. Laborato

Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other indivi

This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and

Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that

The book focuses on molecular evolution and phylogenetics, dealing with the statistical methods of data analysis implemented in commonly-used computer software.

Robert John Ackermann deals decisively with the problem of relativism that has plagued post-empiricist philosophy of science. Recognizing that theory and data are mediated by data domains (bordered da

Learn how to discover and present quantitative truths with data, using the fast-growing data visualization software Tableau. This practical guide takes you step-by-step through a process of converting

A software system comprises multiple views such as strategy/version n, strategy/version n+1, analysis, design, structure, behavior and input/output data views. A systems model is required to describe

Europe’s population is ageing and decreasing. Demographic change is making not only regional and territorial adaptation necessary, but also new region-specific spatial planning and regional developmen

"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most adv

A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatisticsWith an emphasis on hands-on applications, Applied Missing Da

""Combines data tables, summary and analysis with thematic overviews and chronological outlines to provide a guide to British elections and electoral systems from 1689 to 2013"--Provided by publisher"

This book relates spatial existence to the challenges arising from the critical times in which we are living and from the supposedly degrading moral nature of societies. It contains contributions from

One of a series of pocket-sized books that provide a quick reference to development data on different topics, 'The Little Data Book on Private Sector Development 2014' provides data for more than 20 k

Uniquely blending data on the geology and resource potential of the Congo Basin, woefully under-researched yet half the size of the USA, this notable new work presents the latest analysis and unpublis

Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative scie

As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession

Table of Contents: 1. Data and Distributions 2. Numerical Summary Measures 3. Bivariate and Multivariate Data 4. Obtaining Data 5. Probability and Sampling Distributions 6. Quality and Reliability 7. Estimation and Statistical Intervals 8. Testing Statistical Hypotheses 9. The Analysis of Variance 10. Experimental Design 11. Inferential Methods in Regression and Correlation

Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an out

"This book explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering, and focuses on modern techniques as well as pa

After a period in which computation-derived architecture―driven by digital design tools, data analysis, and new formal expression―has thrived, students and their teachers have returned to age-old tech