Occupational Projections and Training Data PDF Download

Author:
Publisher:
ISBN:
Category : Employment forecasting
Languages : en
Pages : 94

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Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335

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Book Description
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Author: United States. Bureau of Economic Analysis. Regional Economic Analysis Division
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 222

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Author: United States. Bureau of Labor Statistics
Publisher: Government Printing Office
ISBN: 9780160877490
Category : Employment forecasting
Languages : en
Pages : 220

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Author:
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 186

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Author: United States. Bureau of Employment Security
Publisher:
ISBN:
Category : Labor supply
Languages : en
Pages : 176

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Book Description

Author: Labor Dept Labor Statistics
Publisher: Occupational Projections & Tra
ISBN: 9780160723025
Category : Business & Economics
Languages : en
Pages : 220

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Book Description
This statistical supplement to the Occupational Outlook Handbook provides data to support the information presented in the Handbook. Researchers can compare over 500 occupations on factors such as employment changes, job openings, earnings, unemployment rates, and training requirements.

Author:
Publisher: DIANE Publishing
ISBN: 1422345351
Category :
Languages : en
Pages : 262

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Author: Stanley K. Smith
Publisher: Springer Science & Business Media
ISBN: 0306473720
Category : Social Science
Languages : en
Pages : 433

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Book Description
The initial plans for this book sprang from a late-afternoon conversation in a hotel bar. All three authors were attending the 1996 meeting of the Population As- ciation of America in New Orleans. While nursing drinks and expounding on a variety of topics, we began talking about our current research projects. It so happened that all three of us had been entertaining the notion of writing a book on state and local population projections. Recognizing the enormity of the project for a single author, we quickly decided to collaborate. Had we not decided to work together, it is unlikely that this book ever would have been written. The last comprehensive treatment of state and local population projections was Don Pittenger’s excellent work Projecting State and Local Populations (1976). Many changes affecting the production of population projections have occurred since that time. Technological changes have led to vast increases in computing power, new data sources, the development of GIS, and the creation of the Internet. The procedures for applying a number of projection methods have changed considerably, and several completely new methods have been developed.

Author: Paul R. Campbell
Publisher:
ISBN:
Category : Demographic transition
Languages : en
Pages : 90

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