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Data Crunching
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Download or read book Data Crunching written by Greg Wilson and published by . This book was released on 2005 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day, all around the world, programmers have to recycle legacy data, translate from one vendor's proprietary format into another's, check that configuration files are internally consistent, and search through web logs to see how many people have downloaded the latest release of their product. This kind of "data crunching," may not be glamorous, but knowing how to do it efficiently is essential to being a good programmer. This book describes the most useful data crunching techniques, explains when you should use them, and shows how they will make your life easier. Along the way, it will introduce you to some handy, but under-used, features of Java, Python, and other languages. It will also show you how to test data crunching programs, and how data crunching fits into the larger software development picture.
Book Synopsis Pivot Table Data Crunching by : Bill Jelen
Download or read book Pivot Table Data Crunching written by Bill Jelen and published by Pearson Education. This book was released on 2010-10-20 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: PivotTables may be Excel's most powerful feature, but Microsoft has estimated that only 15% of Excel users take advantage of them. That's because PivotTables (and their companion feature, PivotCharts) have a reputation for being difficult to learn. Not any more! In this book, Excel legends Bill Jelen ("MrExcel") and Michael Alexander teach PivotTables and PivotCharts step-by-step, using realistic business scenarios that any Excel user can intuitively understand. Jelen and Alexander go far beyond merely explaining PivotTables and PivotCharts: they present practical "recipes" for solving a wide range of business problems. Drawing on more than 30 combined years of Excel experience, they provide tips and tricks you won't find anywhere else, and show exactly how to sidestep common mistakes. Coverage includes: " Creating PivotTables, customizing them, and changing the way you view them " Performing calculations within PivotTables " Using PivotCharts and other visualizations " Analyzing multiple data sources with PivotTables " Sharing PivotTables with others " Working with and analyzing OLAP data " Making the most of Excel 2010's powerful new PowerPivot feature " Using Excel 2010's Slicer to dynamically filter PivotTables " Enhancing PivotTables with macros and VBA code This book is part of the new MrExcel Library series, edited by Bill Jelen, world-renowned Excel expert and host of the enormously popular Excel help site, MrExcel.com. Teaches PivotTables, PivotCharts, and Excel 2010's new PowerPivot feature through real-world scenarios that make intuitive sense to users at all levels Includes proven PivotTable recipes for instant on-the-job results Helps Excel users avoid common pitfalls and mistakes Part of the brand-new MrExcel Library series, edited by Excel legend Bill Jelen
Book Synopsis Pivot Table Data Crunching by : Michael Alexander
Download or read book Pivot Table Data Crunching written by Michael Alexander and published by Pearson Education. This book was released on 2001-06-20 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become a savvy Microsoft Excel user. Pivot tables are a great feature in Excel that help you organize and analyze data, but not many Excel users know how to use pivot tables. Pivot Table Data Crunching offers a comprehensive review of all the functionalities of Pivot Tables from author Bill Jelen, otherwise known as Mr. Excel from www.mrexcel.com, and Michael Alexander, a Microsoft Certified Application Developer. The authors' practical scenarios and real-world advice demonstrate the benefits of Pivot Tables and how to avoid the common pitfalls of every day data crunching. Each solution presented in the book can be accomplished with resources available in the Excel interface, making Pivot Table Data Crunching a beneficial resource for all levels of Excel users.
Book Synopsis Microsoft Excel Pivot Table Data Crunching (Office 2021 and Microsoft 365) by : Bill Jelen
Download or read book Microsoft Excel Pivot Table Data Crunching (Office 2021 and Microsoft 365) written by Bill Jelen and published by Microsoft Press. This book was released on 2021-12-21 with total page 935 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Microsoft 365 Excel and Excel 2021 pivot tables and pivot charts to produce powerful, dynamic reports in minutes: take control of your data and your business! Even if you've never created a pivot table before, this book will help you leverage all their flexibility and analytical power— including important recent improvements in Microsoft 365 Excel. Drawing on more than 30 years of cutting-edge Excel experience, MVP Bill Jelen (“MrExcel”) shares practical “recipes” for solving real business problems, expert insights for avoiding mistakes, and advanced tips and tricks you'll find nowhere else. By reading this book, you will: Master easy, powerful ways to create, customize, change, and control pivot tables Transform huge datasets into clear summary reports Instantly highlight your most profitable customers, products, or regions Use the data model and Power Query to quickly analyze disparate data sources Create powerful crosstab reports with new dynamic arrays and Power Query Build geographical pivot tables with 3D Maps Construct and share state-of-the-art dynamic dashboards Revamp analyses on the fly by dragging and dropping fi elds Build dynamic self-service reporting systems Share your pivot tables with colleagues Create data mashups using the full Power Pivot capabilities in modern Excel versions Generate pivot tables using either VBA on the Desktop or Typescript in Excel Online Save time and avoid formatting problems by adapting reports with GetPivotData Unpivot source data so it's easier to work with Use new Analyze Data artificial intelligence to create pivot tables
Book Synopsis Excel 2013 Pivot Table Data Crunching by : Bill Jelen
Download or read book Excel 2013 Pivot Table Data Crunching written by Bill Jelen and published by Pearson Education. This book was released on 2013-03-18 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: PivotTables may be Excel's most powerful feature, but Microsoft has estimated that only 15% of Excel users take advantage of them. That's because PivotTables (and their companion feature, PivotCharts) have a reputation for being difficult to learn. Not any more! In this expert tutorial, Excel legends Bill Jelen ("MrExcel") and Michael Alexander teach PivotTables and PivotCharts step-by-step, using realistic business scenarios that any Excel user can intuitively understand. Jelen and Alexander go far beyond merely explaining PivotTables and PivotCharts: they present practical "recipes" for solving a wide range of business problems. Drawing on more than 35 combined years of Excel experience, they provide tips and tricks readers won't find anywhere else, and show exactly how to sidestep common mistakes. Coverage includes: * Creating PivotTables, customizing them, and changing the way you view them * Performing calculations within PivotTables * Using PivotCharts and other visualizations * Analyzing multiple data sources with PivotTables * Sharing PivotTables with others * Working with and analyzing OLAP data * Making the most of Excel 2013's powerful new PowerPivot feature * Using Excel 2013's Slicer to dynamically filter PivotTables * Enhancing PivotTables with macros and VBA code This book is part of the popular MrExcel's Library series, edited by Bill Jelen, world-renowned Excel expert and host of the world-renowned Excel help site, MrExcel.com.
Book Synopsis Microsoft Excel 2019 Pivot Table Data Crunching by : Bill Jelen
Download or read book Microsoft Excel 2019 Pivot Table Data Crunching written by Bill Jelen and published by Microsoft Press. This book was released on 2018-12-27 with total page 976 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renowned Excel experts Bill Jelen (MrExcel) and Michael Alexander help you crunch data from any source with Excel 2019 pivot tables. Use Excel 2019 pivot tables and pivot charts to produce powerful, dynamic reports in minutes instead of hours, to take control of your data and your business. Even if you’ve never created a pivot table before, this book will help you leverage all their remarkable flexibility and analytical power–including valuable improvements in Excel 2019 and Excel in Office 365. Drawing on more than 45 combined years of Excel experience, Bill Jelen and Michael Alexander offer practical “recipes” for solving real business problems, help you avoid common mistakes, and present tips and tricks you’ll find nowhere else. By reading this book, you will: • Master easy, powerful ways to create, customize, change, and control pivot tables • Control all future pivot tables using new pivot table defaults • Transform huge data sets into clear summary reports • Instantly highlight your most profitable customers, products, or regions • Use Power Query to quickly import, clean, shape, and analyze disparate data sources • Build geographical pivot tables with 3D Map • Construct and share state-of-the-art dynamic dashboards • Revamp analyses on the fly by dragging and dropping fields • Build dynamic self-service reporting systems • Share your pivot tables with colleagues • Create data mashups using the full Power Pivot capabilities of Excel 2019 and Excel in Office 365 • Automate pivot tables with macros and VBA • Save time by adapting reports with GetPivotData • Discover today’s most useful pivot table tips and shortcuts
Book Synopsis Excel 2016 Pivot Table Data Crunching by : Bill Jelen
Download or read book Excel 2016 Pivot Table Data Crunching written by Bill Jelen and published by Que Publishing. This book was released on 2015-11-05 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excel® 2016 PIVOT TABLE DATA CRUNCHING CRUNCH DATA FROM ANY SOURCE, QUICKLY AND EASILY, WITH EXCEL 2016 PIVOT TABLES! Use Excel 2016 pivot tables and pivot charts to produce powerful, dynamic reports in minutes instead of hours... understand exactly what’s going on in your business... take control, and stay in control! Even if you’ve never created a pivot table before, this book will help you leverage all their amazing flexibility and analytical power. Drawing on more than 40 combined years of Excel experience, Bill Jelen and Michael Alexander offer practical “recipes” for solving real business problems, help you avoid common mistakes, and present tips and tricks you’ll find nowhere else! • Create, customize, and change pivot tables • Transform huge data sets into clear summary reports • Analyze data faster with Excel 2016’s new recommended pivot tables • Instantly highlight your most profitable customers, products, or regions • Quickly import, clean, and shape data with Power Query vBuild geographical pivot tables with Power Map • Use Power View dynamic dashboards to see where your business stands • Revamp analyses on the fly by dragging and dropping fields • Build dynamic self-service reporting systems • Combine multiple data sources into one pivot table • Use Auto grouping to build date/time-based pivot tables faster vCreate data mashups with Power Pivot • Automate pivot tables with macros and VBA About MrExcel Library Every book in the MrExcel Library pinpoints a specific set of crucial Excel tasks and presents focused skills and examples for performing them rapidly and effectively. Selected by Bill Jelen, Microsoft Excel MVP and mastermind behind the leading Excel solutions website MrExcel.com, these books will • Dramatically increase your productivity—saving you 50 hours a year or more • Present proven, creative strategies for solving real-world problems • Show you how to get great results, no matter how much data you have • Help you avoid critical mistakes that even experienced users make Bill Jelen is MrExcel, the world’s #1 spreadsheet wizard. Jelen hosts MrExcel.com, the premier Excel solutions site, with more than 20 million page views annually. A Microsoft MVP for Excel, his best-sellers include Excel 2016 In Depth. Michael Alexander, Microsoft Certified Application Developer (MCAD) and Microsoft MVP, is author of several books on advanced business analysis with Excel and Access. He has more than 15 years of experience developing Office solutions. CATEGORY: Spreadsheets COVERS: Microsoft Excel 2016
Book Synopsis Analysis and Interpretation of Ethnographic Data by : Margaret D. LeCompte
Download or read book Analysis and Interpretation of Ethnographic Data written by Margaret D. LeCompte and published by Rowman Altamira. This book was released on 2012-09-05 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Book 5 of 7 in the Ethnographer's Toolkit, Second Edition. Treating analysis as both a mechanical and a cognitive process, Book 5 begins by describing why analysis and interpretation of data are necessary. In the first two chapters the book points out the importance of beginning ethnographic analysis in the field, during the earliest stages of data collection, and how to move between induction and deduction, the concrete and the abstract, in a process informed by an emerging and increasingly refined conceptual model. The middle section tackles the challenge of transforming huge piles of text, audio, and visual information into an ethnographic whole through generic and specific coding and quantification of qualitative data, using multiple extended examples. Chapters show how to use computers in analysis of qualitative data and ways to integrate the results of quantitative and qualitative data into a comprehensive picture of a complex whole. Chapter 9 presents a rare and comprehensive description of the statistics regularly used by ethnographers to analyze ethnographic surveys. Chapters 10 and 11 show how researchers create and then fine-tune preliminary results into an integrated whole, display them for multiple audiences, and write them up. The final chapter illustrates how ethnographers can share the meaning of results with local communities and constituents and with other professional researchers. Other books in the set: Book 1: Designing and Conducting Ethnographic Research: An Introduction, Second Edition by Margaret D. LeCompte and Jean J. Schensul 9780759118690 Book 2: Initiating Ethnographic Research: A Mixed Methods Approach by Stephen L. Schensul, Jean J. Schensul, and Margaret D. LeCompte 9780759122017 Book 3: Essential Ethnographic Methods: A Mixed Methods Approach, Second Edition by Jean J. Schensul and Margaret D. LeCompte 9780759122031 Book 4: Specialized Ethnographic Methods: A Mixed Methods Approach edited by Jean J. Schensul and Margaret D. LeCompte 9780759122055 Book 6: Ethics in Ethnography: A Mixed Methods Approach by Margaret D. LeCompte and Jean J. Schensul 9780759122093 Book 7: Ethnography in Action: A Mixed Methods Approach by Jean J. Schensul and Margaret D. LeCompte 9780759122116
Book Synopsis Python for Data Analysis by : Wes McKinney
Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Book Synopsis Big Data by : Viktor Mayer-Schönberger
Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Download or read book Super Crunchers written by Ian Ayres and published by Bantam. This book was released on 2007-08-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • With new information on crunching your own numbers to get the edge the experts have An international sensation—and still the talk of the relevant blogosphere—this Wall Street Journal and New York Times business bestseller examines the “power” in numbers. Today more than ever, number crunching affects your life in ways you might not even imagine. Intuition and experience are no longer enough to make the grade. In order to succeed—even survive—in our data-based world, you need to become statistically literate. Cutting-edge organizations are already crunching increasingly larger databases to find the unseen connections among seemingly unconnected things to predict human behavior with staggeringly accurate results. From Internet sites like Google and Amazon that use filters to keep track of your tastes and your purchasing history, to insurance companies and government agencies that every day make decisions affecting your life, the brave new world of the super crunchers is happening right now. No one who wants to stay ahead of the curve should make another keystroke without reading Ian Ayres’s engrossing and enlightening book.
Book Synopsis Effective Data Storytelling by : Brent Dykes
Download or read book Effective Data Storytelling written by Brent Dykes and published by John Wiley & Sons. This book was released on 2019-12-10 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.
Book Synopsis Applied Multivariate Research by : Lawrence S. Meyers
Download or read book Applied Multivariate Research written by Lawrence S. Meyers and published by SAGE. This book was released on 2006 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate designs were once the province of the very few exalted researchers who understood the underlying advanced mathematics. Today, through the sophistication of statistical software packages such as SPSS, virtually all graduate students across the social and behavioural sciences are exposed to the complex multivariate statistical techniques without having to learn the mathematical computations needed to acquire the data output. These students - in psychology, education, political science, etc. - will never be statisticians and appropriately so, their preparation and coursework reflects less of an emphasis on the mathematical complexities of multivariate statistics and more on the analysis and the interpretation of the methods themselves and the actual data output. This book provides full coverage of the wide range of multivariate topics in a conceptual, rather than mathematical, approach. The author gears toward the needs, level of sophistication, and interest in multivariate methodology of students in applied areas that need to focus on design and interpretation rather than the intricacies of specific computations. The book includes: - Coverage of the most widely used multivariate designs: multiple regression, exploratory factor analysis, MANOVA, and structural equation modeling. - Integrated SPSS examples for hands-on learning from one large study (for consistency of application throughout the text). - Examples of written results to enable students to learn how the results of these procedures are communicated. - Practical application of the techniques using contemporary studies that will resonate with students.
Book Synopsis The Rise of Big Data Policing by : Andrew Guthrie Ferguson
Download or read book The Rise of Big Data Policing written by Andrew Guthrie Ferguson and published by NYU Press. This book was released on 2019-11-15 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.
Download or read book Super Crunchers written by Ian Ayres and published by Bantam. This book was released on 2008-08-26 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • With new information on crunching your own numbers to get the edge the experts have An international sensation—and still the talk of the relevant blogosphere—this Wall Street Journal and New York Times business bestseller examines the “power” in numbers. Today more than ever, number crunching affects your life in ways you might not even imagine. Intuition and experience are no longer enough to make the grade. In order to succeed—even survive—in our data-based world, you need to become statistically literate. Cutting-edge organizations are already crunching increasingly larger databases to find the unseen connections among seemingly unconnected things to predict human behavior with staggeringly accurate results. From Internet sites like Google and Amazon that use filters to keep track of your tastes and your purchasing history, to insurance companies and government agencies that every day make decisions affecting your life, the brave new world of the super crunchers is happening right now. No one who wants to stay ahead of the curve should make another keystroke without reading Ian Ayres’s engrossing and enlightening book.
Book Synopsis Deep Learning for Data Architects by : Shekhar Khandelwal
Download or read book Deep Learning for Data Architects written by Shekhar Khandelwal and published by BPB Publications. This book was released on 2023-08-16 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to building and deploying deep learning models with Python KEY FEATURES ● Acquire the skills to perform exploratory data analysis, uncover insights, and preprocess data for deep learning tasks. ● Build and train various types of neural networks, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). ● Gain hands-on experience by working on practical projects and applying deep learning techniques to real-world problems. DESCRIPTION “Deep Learning for Data Architects” is a comprehensive guide that bridges the gap between data architecture and deep learning. It provides a solid foundation in Python for data science and serves as a launchpad into the world of AI and deep learning. The book begins by addressing the challenges of transforming raw data into actionable insights. It provides a practical understanding of data handling and covers the construction of neural network-based predictive models. The book then explores specialized networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The book delves into the theory and practical aspects of these networks and offers Python code implementations for each. The final chapter of the book introduces Transformers, a revolutionary model that has had a significant impact on natural language processing (NLP). This chapter provides you with a thorough understanding of how Transformers work and includes Python code implementations. By the end of the book, you will be able to use deep learning to solve real-world problems. WHAT YOU WILL LEARN ● Develop a comprehensive understanding of neural networks' key concepts and principles. ● Gain proficiency in Python as you code and implement major deep-learning algorithms from scratch. ● Build and implement predictive models using various neural networks ● Learn how to use Transformers for complex NLP tasks ● Explore techniques to enhance the performance of your deep learning models. WHO THIS BOOK IS FOR This book is for anyone who is interested in a career in emerging technologies, such as artificial intelligence (AI), data analytics, machine learning, deep learning, and data science. It is a comprehensive guide that covers the fundamentals of these technologies, as well as the skills and knowledge that you need to succeed in this field. TABLE OF CONTENTS 1. Python for Data Science 2. Real-World Challenges for Data Professionals in Converting Data Into Insights 3. Build a Neural Network-Based Predictive Model 4. Convolutional Neural Networks 5. Optical Character Recognition 6. Object Detection 7. Image Segmentation 8. Recurrent Neural Networks 9. Generative Adversarial Networks 10. Transformers
Book Synopsis Quantitative Analysis and Modeling of Earth and Environmental Data by : Jiaping Wu
Download or read book Quantitative Analysis and Modeling of Earth and Environmental Data written by Jiaping Wu and published by Elsevier. This book was released on 2021-12-04 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications). Explores the analysis and processing of chronotopologic (i.e., space-time and spacetime) data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines Studies the synthesis of scientific theory and empirical evidence (in its various forms) that offers a mathematically rigorous and physically meaningful assessment of real-world phenomena Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented
