Spatial Data Analysis

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of intere

This book takes both a retrospective and prospective view of the field of spatial analysis by combining selected reprints of classic articles by Arthur Getis with current observations by leading exper

The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focus

Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods

A comprehensive, data-driven introduction to modern spatial data analysis, a field which is playing an increasing role in many areas of research and policy making. Provides full explanations for a wid

Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for bot

In an era where many believe Big Data has rendered human perception and observation 'old-school' or pass', Martin Lindstrom shows that mining and matching technological data with up-close psychologica

Use real data, and become a pro at using Excel for statistical analysis! Designed for users already familiar with Excel and basic computer operations, this Second Edition of Neil J. Salkind’s Excel St

Master Oracle Data Guard 11g Provide superior data protection, availability, and disaster recovery using the tested techniques in this Oracle Press guide. Cowritten by a team of Oracle experts, Oracl

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospa

This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics.The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number

In the ninth DATA Set adventure, the kids blast off into outer space!When Laura hears a strange but familiar buzzing coming from her radio, she instantly knows who's trying to get in touch. It's none other than Fave, the DATA Set's alien friend who crashed down on Earth! The kids excitedly decode the message but learn that Fave is in trouble! Join the kids as they suit up and blast off into the galaxy on a mission to help an old friend. With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.

"Let's practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon ... Storytelling With Data'

If you think of science as a puzzle, you’ll see that data is a key to unlocking it. Exemplary Evidence: Scientists and Their Data touches on the world’s many riddles—from how we see to what’s at the b

Modern statistical methods allow the analyst to fit and assess models as well as to undertake supervised or unsupervised learning to extract information. Contemporary data science requires tight integ

Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions,

The DATA Set find themselves stuck in the prehistoric era in the second adventure of the brand-new series!Thanks to Dr. Bunsen’s latest wacky invention, the DATA Set are blasted back to the prehistori

The Routledge Handbook of Discourse Analysis covers the major approaches to Discourse Analysis from Critical Discourse Analysis to Multimodal Discourse Analysis and their applications in key education

First published in 1968, An Introduction to Harmonic Analysis has firmly established itself as a classic text and a favorite for students and experts alike. Professor Katznelson starts the book with an exposition of classical Fourier series. The aim is to demonstrate the central ideas of harmonic analysis in a concrete setting, and to provide a stock of examples to foster a clear understanding of the theory. Once these ideas are established, the author goes on to show that the scope of harmonic analysis extends far beyond the setting of the circle group, and he opens the door to other contexts by considering Fourier transforms on the real line as well as a brief look at Fourier analysis on locally compact abelian groups. This new edition has been revised by the author, to include several new sections and a new appendix.

This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this boo

The field of forensic DNA analysis has grown immensely in the past two decades and genotyping of biological samples is now routinely performed in human identification (HID) laboratories. Application areas include paternity testing, forensic casework, family lineage studies, identification of human remains, and DNA databasing. Forensic DNA Analysis: Current Practices and Emerging Technologies explores the fundamental principles and the application of technologies for each aspect of forensic DNA analysis. The book begins by discussing the value of DNA evidence and how to properly recognize, document, collect, and store it. The remaining chapters examine: The most widely adopted methods and the best practices for DNA isolation from forensic biological samples and human remainsStudies carried out on the use of both messenger RNA and small (micro) RNA profilingReal-time polymerase chain reaction (PCR) methods for quantification and assessment of human DNA prior to genotypingCapillary electr

Join the DATA Set on their outrageous adventures with this action-packed collection of books five through eight!DANGER! ACTION! TROUBLE! ADVENTURE!Meet Newtonburg Elementary’s whiz kids: Gabe, Laura,

This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and huma

Now in its fifth edition, this invaluable handbook provides a complete guide to the practical application of data protection law. It is fully updated and expanded to include coverage of significant de

●　Panel-data迴歸是大量應用於經濟、統計、社會和醫學領域的熱門分析工具，研究者不可不學。●　本書內容結合「理論、方法、統計」，幫助您正確、精準處理Panel-data迴歸模型。●　完整剖析各項統計分析技巧，模型建立好簡單，迅速提升研究力！●　圖解操作流程，跟著老師的指示，無痛學習STATA指令功能。●　本書範例結合光碟檔案學習，帶領讀者熟悉軟體及統計觀念，一步一步深入分析。 要

Classic Grounded Theory: Applications with Qualitative and Quantitative Data is unique in its presentation of classic grounded theory, from its historical origins to step-by-step guidance on how to ca

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This second edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial

This is the first practical book on spatial microsimulation, a multi-level modeling approach that involves the generation, analysis, and modeling of individual-level data allocated to geographical zon

?This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. T

Core Insight：Cross-Domain Data Collaboration: Unlocking Chip PotentialEliminating the "efficiency gap" caused by knowledge silos is the starting point for industry potential. Data doesn't lie; Data Science provides the solution: Through innovation and cross-domain restructuring, we visualize results to become the critical accelerator for boosting efficiency.GenAI Reshaping the Future of SemiconductorsFacing the immense challenge of the slowing pace of Moore's Law, the semiconductor industry urgently requires new breakthroughs. This book is specifically designed to solve the "Efficiency Black Hole" that consumes tens of billions of dollars annually in the industry.The Empowering DTCO Innovation with AI and Machine Learning offers readers a practical DTCO.ML Framework, demonstrating how to leverage Machine Learning (ML) and Generative AI (GenAI) technologies to inject new acceleration into chip manufacturing processes. Learn to master process variability and optimize chip energy efficien

本書第二版除了介紹個人理財的相關財務決策外，更加入逐漸受到重視的風險性投資主題。為了讓讀者能深入瞭解投資活動與個人理財的互動運作原理，特別融入相關實作的操作教程內容，讓讀者能親自動手練習「如何正確編製家庭財務報表？」（Personal / Household Financial Statements）。本書的內容架構融入目前世界各國一流商管教育重視「大數據量化分析」(Quantitative Analysis with Big Data) 的最新趨勢。讀者透過本書的精進研讀，不僅能徹底瞭解個人理財的運作邏輯，更能學習透過應用軟體來獨力完成家庭財務規劃。這就是本書提供給社會大眾自我提升「理財素養」，以增進家庭經營效率與效用的方便法門。

Learn through play in this exciting expansion of the groundbreaking TinkerActive series, with format innovations perfect for learners ages 3 and up!TinkerActive Early Skills workbooks are curriculum-based hands-on fun, perfect for your littlest learners! Each Early Skills workbook is:Created with AWARD-WINNING TEACHERSPacked with STEM ACTIVITIESFilled with TINKERING, CRAFTING, & ENGINEERING projectsLoaded with STICKERS and a FOLD-OUT REWARD POSTERComplete with a WRITE-AND-WIPE game board and activities, so kids can PRACTICE AND PLAY AGAIN AND AGAIN.And even includes EASY AND PRACTICAL TIPS on how to engage your little tinkerer in learning.For ages 3 and up, this workbook covers: Same & Different, Sorting, Counting to 20, Quantities, Writing Numbers, Addition & Subtraction Fundamentals, Measurement, Spatial Reasoning, and Shapes.