US Census Data, Volume 58: Concepts and Applications for Supporting Research, Frank Donnelly
Автор: Gaciu Nicoleta Название: Understanding Quantitative Data in Educational Research ISBN: 1473982146 ISBN-13(EAN): 9781473982147 Издательство: Sage Publications Рейтинг: Цена: 16632.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.
Описание: This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.
Описание: This textbook offers a comprehensive overview of applied demography by presenting both basic concepts and methodological techniques. It allows students from the social and human sciences, demographers, consultants and anyone interested in applied demography to gain an understanding of a wide range of practical applications of demographic concepts, methods and techniques to real- world problems. Featured sidebars highlight relevant terms and concepts and case studies and exercises throughout the book offer first-hand exposure to demographic applications. Charts and graphs supplement the presentation of demographic concepts and a glossary provides an inventory of relevant terms. The first section reviews basic components of applied demography as a context for understanding and addressing societal issues. It details the methods, techniques and data sources applied by demographers in a variety of areas. Coverage includes cohort analysis, data standardization, population estimation, and the use of geographic in- formation systems (GIS). The second section focuses on the substantive areas in which demography is currently applied. The topics covered include business demography, health demography, political demography, educational demography, and applications to urban and regional planning. The book illustrates the many ways in which demographers contribute to the formulation of public policy and the resolution of societal issues.
Описание: Perspectives on Agent-Based Modelling in Population Studies:1: Introduction: Agent-Based Modelling as a Tool to Advance Evolutionary Population Theory: Jan Van Bavel and Andrй Grow.-2: Model-Based Demography: Towards a Research Agenda: Daniel Courgeau, Jakub Bijak, Robert Franck, and Eric Silverman.-3: The Role of Social Interactions in Demography: An Agent-Based Modelling Approach: Alexia Prskawetz.- II. Designing, Analysing, and Reporting Agent-Based Models:4: Agent-based Computational Demography and Microsimulation using JAS-mine: Matteo Richiardi and Ross E. Richardson.- 5: Simulating Synthetic Life Courses of Individuals and Couples, and Mate Matching: Sabine Zinn.- 6: Using Survey Data for Agent-Based Modeling: Design and Challenges in a Model of Armed Conflict and Population Change: Nathalie E. Williams, Michelle L. O'Brien, and Xiaozheng Yao.- 7: Regression Metamodels for Sensitivity Analysis in Agent-Based Computational Demography: Andrй Grow.- 8: Design and Analysis of Demographic Simulations: Jason Hilton and Jakub Bijak.- 9: How to Describe Agent-Based Models in Population Studies?: Jьrgen Groeneveld, Anna Klabunde, Michelle L. O'Brien, and Andrй Grow.- III. Modelling Decision Processes: 10: The decision to emigrate: A simulation model based on the theory of planned behaviour: Frans Willekens.- 11: Deciding to Disclose: A Decision Theoretic Agent Model of Pregnancy and Alcohol Misuse: Jonathan Gray, Jakub Bijak, and Seth Bullock: IV. Family Formation and Fertility: 12: An Agent-Based Model of Sex Ratio at Birth Distortions: Ridhi Kashyap and Francisco Villavicencio.- 13: Exploring the Role of Communication in Shaping Fertility Transition Patterns in Space and Time: Sebastian Klьsener, Francesco Scalone, and Martin Dribe.- 14: Feedback Mechanisms in the Postponement of Fertility in Spain: Daniel Ciganda and Francisco Villavicencio.- V. Health, Mortality, and Support in Old Age: 15: Linking income, transfers, and social support in an agent-based family exchange model: Fanny A. Kluge and Tobias C. Vogt.- 16: Agent-Based Modelling to Inform Health Intervention Strategies: The case of severe acute malnutrition in children in high-burden low-income countries: Hedwig Deconinck, Carine Van Malderen, Niko Speybroeck, Jean Macq, and Jean-Christophe Chiem.- 17: Exploring Contingent Inequalities - Building the Theoretical Health Inequality Model: Michael Wolfson, Steve Gribble, and Reed Beall.
Описание: Qualitative Data Collection Tools by Felice D. Billups is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data.
Описание: Introduction to Seeing Cities Through Big Data - Research, Methods, and Applications in Urban Informatics.- Big Data and Urban Informatics: Innovations and Challenges to Urban Planning and Knowledge Discovery.- Analytics of user-generated content.- Using User-Generated Content to Understand Cities.- Developing an Interactive Mobile Volunteered Geographic Information Platform to Integrate Environmental Big Data and Citizen Science in Urban Management.- CyberGIS-enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices.- Challenges and opportunities of urban Big Data.- The Potential for Big Data to Improve Neighborhood-Level Census Data.- Big Data and Survey Research: Supplement or Substitute?.- Big Spatio-temporal Network Data Analytics for Smart Cities: Research Needs.- A review of heteroscedasticity treatment with Gaussian Processes and Quantile Regression meta-models.- Changing organizational and educational perspectives with urban Big Data.- Urban Informatics: Critical Data and Technology Considerations.- Emerging Urban Digital Infomediaries and Civic Hacking in an Era of Big Data and Open Data Initiatives.- How Should Urban Planners Be Trained to Handle Big Data?.- Energy Planning in Big data Era: A Theme Study of the Residential Sector.- Urban data management.- Using an online spatial analytics workbench for understanding housing affordability in Sydney.- A Big Data Mashing Tool for Measuring Transit System Performance.- Developing a Comprehensive U.S. Transit Accessibility Database.- Seeing Chinese Cities through Big Data and Statistics.- Urban knowledge discovery applied to different urban contexts.- Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR.- The Impact of Land-Use Variables on Free-floating Carsharing Vehicle Rental Choice and Parking Duration.- Dynamic Agent Based Simulation of an Urban Disaster Using Synthetic Big Data.- Estimation of Urban Transport Accessibility at the Spatial Resolution of an Individual Traveler.- Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data.- Detecting stop episodes from GPS trajectories with gaps.- Emergencies and Crisis.- Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies.- Health and well-being.- 'Big Data': Pedestrian Volume Using Google Street View Images.- Learning from Outdoor Webcams: Surveillance of Physical Activity Across Environments.- Mapping Urban Soundscapes via Citygram.- Social equity and data democracy.- Big Data and Smart (Equitable) Cities.- Big Data, Small Apps: Premises and Products of the Civic Hackathon.
Описание: The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets.
Автор: Sharma Rohit, Sharma Dilip Kumar, Bhatt Dhowmya Название: Big Data Analysis for Green Computing: Concepts and Applications ISBN: 0367442302 ISBN-13(EAN): 9780367442309 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.
Автор: Bai, Haiyan Clark, M. H. Название: Propensity score methods and applications ISBN: 1506378056 ISBN-13(EAN): 9781506378053 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Поставка под заказ.
Описание: A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics, and is practical enough for researchers to quickly generalize and apply the methods.
Автор: Ceccaroni Luigi, Piera Jaume Название: Analyzing the Role of Citizen Science in Modern Research ISBN: 1522509623 ISBN-13(EAN): 9781522509622 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the need for sustainable development practices around the world continues to grow, it has become imperative for citizens to become actively engaged in the global transition. By evaluating data collected from various global programs, researchers are able to identify strategies and challenges in implementing civic engagement initiatives.Analyzing the Role of Citizen Science in Modern Research focuses on analyzing data on current initiatives and best practices in citizen engagement and education programs across various disciplines. Highlighting emergent research and application techniques within citizen science initiatives, this publication appeals to academicians, researchers, policy makers, government officials, technology developers, advanced-level students and program developers interested in launching or improving citizen science programs across the globe.
Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.
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