Spatial Data Analysis

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and

This unique guide brings together all the skills you need to get started with data science -- one of the world’s fastest growing fields! Leading data science instructors Michael Freeman and Joel

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response

Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn ab

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics

The workshop explored the indicator methodology and related issues on data and information sources, analysis and reporting – including the use of an e-learning platform – and identified capacity devel

This report provides information on the results of a garrison-level analysis of survey data from the RAND Arroyo Center’s 2014 formal needs assessment survey of active component soldiers and an

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

Our experience of the world is influenced by numerous spatial biases, most of which influence us without our being aware of them. These biases are related to illusions and asymmetries in our perception of space, relationships between space and other qualities, dynamics of moving objects, dynamics of scene configuration, and dynamics related to perception and action. Consideration of these biases provides insight into how we perceive, remember, and navigate space, as well as how we interact with objects and people in space. This volume introduces and reviews numerous spatial biases, and provides descriptions and examples of each bias. The contributors discuss historical and current theories for many biases, and for some biases, provide new explanatory theories. Providing a 'one-stop shop' for information on such a key aspect of our experience in the world, this volume will interest anyone curious about our understanding of space.

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemi

The Little Quick Fix on how to Identify Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively examples it shows students what variables a

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile

This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sect

Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malw

This book presents the results of seismic data analysis and interpretation based on nearly one million seismic events. This seismicity was induced by the caving process in four copper mines, each loca

As a legacy of the socialist state with central planning, Five-Year Planning (FYP) is very important in regulating socio-economic and spatial development even in post-reform China. This book tries to

This open access book offers a critical perspective on intra-European mobility and migration by using new empirical data and theoretical discussions. It develops a theoretical and empirical analysis o

Inspire the data discussion! Data is a valuable resource for improving education. Unfortunately, many school data teams struggle to make sense of new and often overwhelming data. What Does Your

The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book

Includes questions and answers on Exploratory Analysis, Collecting and Producing Data, Probability, and Statistical Inference. Don't just learn why your answer is correct?learn the rationale behind wh

This volume provides in-depth descriptions and discussion of clinical trial designs based on novel data analysis of high-quality trials for 11 different neurological conditions in order to ultimately

Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidm

The book investigates the relationship between ecosystem services (ES) and spatial planning, and explores potential means of integrating the two concepts to support the decision-making process. In add

This book examines women and society in India during 600–1200 CE through epigraphs. It offers an analysis of inscriptional data at the pan-India level to explore key themes, including early marri

Solving intractable questions of evolution, medicine, and genetics is now easier due to computer assisted methods permiting the rapid analysis of molecular sequence data. These advances have exposed e

Compiled from official U.S. government sources, the book contains historical and current data, insightful analysis, and useful graphs that provide compelling insights into the state of education in Am

As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analyt

Apply Open Source Intelligence (OSINT) techniques, methods, and tools to acquire information from publicly available online sources to support your intelligence analysis. Use the harvested data in dif

Comprehensive guide to diagnosis and management of respiratory disorders. The book places emphasis on signs and symptoms, investigation techniques and clinical data analysis and provides in depth cove

This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial Knowledge and Intelligence, GSKI 2017, held in Chiang Mai, T

This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial Knowledge and Intelligence, GSKI 2017, held in Chiang Mai, T

An innovative, data-driven explanation of how public opinion shifted on LGBTQ rights The Path to Gay Rights is the first social science analysis of how and why the LGBTQ movement achieved its mos

An innovative, data-driven explanation of how public opinion shifted on LGBTQ rights The Path to Gay Rights is the first social science analysis of how and why the LGBTQ movement achieved its mos

Signal Processing in Auditory Neuroscience: Temporal and Spatial Features of Sound and Speech discusses how the physical attributes of different sounds manifest in the neural signal and also how to te

Data analysis expressions (DAX) is the formula language of Power Pivot. Learning the DAX language is key to empower Excel users so they can take advantage of these new Business Intelligence (BI) capab

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with r

This book introduces research data management and discusses the nature of research, what research data is, issues related to research data management, drivers and barriers for it, research data as

As the last decade has shown, ideological polarization in Congress has reached historic levels. Yet, spatial theory has become increasingly important for how scholars understand Congress and legislati