spatial microsimulation with r chapman hall crc the r series

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Spatial Microsimulation With R

Author : Robin Lovelace
ISBN : 9781315360669
Genre : Mathematics
File Size : 65. 80 MB
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Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.

Analyzing Baseball Data With R Second Edition

Author : Max Marchi
ISBN : 9781351107075
Genre : Mathematics
File Size : 57. 61 MB
Format : PDF
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Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

Reproducible Finance With R

Author : Jonathan K. Regenstein, Jr.
ISBN : 9781351052603
Genre : Mathematics
File Size : 59. 87 MB
Format : PDF
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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards. ? ?

Practical R For Mass Communication And Journalism

Author : Sharon Machlis
ISBN : 9780429681752
Genre : Mathematics
File Size : 67. 82 MB
Format : PDF, Docs
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Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and techniques for incorporating data and visualizations into your narratives. You’ll see step by step how to: Analyze airport flight delays, restaurant inspections, and election results Map bank locations, median incomes, and new voting districts Compare campaign contributions to final election results Extract data from PDFs Whip messy data into shape for analysis Scrape data from a website Create graphics ranging from simple, static charts to interactive visualizations for the Web If you work or plan to work in a newsroom, government office, non-profit policy organization, or PR office, Practical R for Mass Communication and Journalism will help you use R in your world. This book has a companion website with code, links to additional resources, and searchable tables by function and task. Sharon Machlis is the author of Computerworld’s Beginner’s Guide to R, host of InfoWorld’s Do More With R video screencast series, admin for the R for Journalists Google Group, and is well known among Twitter users who follow the #rstats hashtag. She is Director of Editorial Data and Analytics at IDG Communications (parent company of Computerworld, InfoWorld, PC World and Macworld, among others) and a frequent speaker at data journalism and R conferences.

M Chtig Senil

Author : Michael Honig
ISBN : 9783426438312
Genre : Fiction
File Size : 22. 48 MB
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Wir schreiben das Jahr 2035: Putin vegetiert in seiner Datsche unweit von Moskau vor sich hin. Vor sechs Jahren hat man ihn in Rente geschickt, doch Putin ist senil und glaubt noch immer, im Amt zu sein. In Putins Hofstaat ist sein Altenpfleger Nikolai der einzige ehrliche Mensch. Allerorten wird geklaut und betrogen. Der demente Putin liebt nach wie vor die Publicity und wird von seinem Nachfolger Lebedew regelmäßig der Presse vorgeführt. Das bringt Chaos mit sich, denn Putin hält Lebedew für seinen Finanzminister. In allem steht Altenpfleger Nikolai treu zu seinem Schützling – bis Nikolais Neffe wegen geäußerter Kritik an der Regierung im Gefängnis landet. Nikolai muss helfen – und braucht dafür sehr schnell sehr viel Geld ...

Einf Hrung In Die Statistik Der Finanzm Rkte

Author : Jürgen Franke
ISBN : 9783642170492
Genre : Business & Economics
File Size : 40. 26 MB
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Author : Wilhelm Winkler
Genre : Demography
File Size : 26. 12 MB
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Big Data

Author : Ramón Reichert
ISBN : 9783839425923
Genre : Social Science
File Size : 66. 27 MB
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Ob die Überwachungspraktiken der NSA oder die Geschäftsmodelle von Google, Facebook & Co.: Sie alle basieren auf »Big Data«, der ungeahnten Möglichkeit, riesige Datenmengen wie nie zuvor in der Geschichte zu erheben, zu sammeln und zu analysieren. »Big Data« beschreibt damit nicht nur neuartige wissenschaftliche Datenpraktiken, sondern steht für eine tektonische Verschiebung von Wissen, Medien, Macht und Ökonomie. Im Unterschied zum Medienhype um »Big Data« schafft der Band einen Reflexionsraum zur differenzierten Auseinandersetzung mit dem datenbasierten Medienumbruch der Gegenwart. International führende Theoretiker der Digital Humanities stellen einen fachübergreifenden Theorierahmen zur Verfügung, der es erlaubt, »Big Data« in seiner gesamten sozialen, kulturellen, ökonomischen und politischen Bandbreite zeitdiagnostisch zu thematisieren. Mit Beiträgen von David M. Berry, Jean Burgess, Alexander R. Galloway, Lev Manovich, Richard Rogers, Daniel Rosenberg, Bernard Stiegler, Theo Röhle, Eugene Thacker u.a.m.

Grundlagen Der Geo Informationssysteme

Author : Ralf Bill
ISBN : 3879073252
Genre :
File Size : 30. 52 MB
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Simulationstechnik Und Simulationsmodelle In Den Sozial Und Wirtschaftswissenschaften

Author : C.E. Mandl
ISBN : 9783642953057
Genre : Business & Economics
File Size : 21. 65 MB
Format : PDF
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