Data Science Interactive Visualizations by González Canché (11 results)

Language: English
Published by Springer, 2023
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Language: English
Published by Springer, 2023
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Language: English
Published by Springer Nature, 2023
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Language: English
Published by Elsevier Science & Technology, San Francisco, 2026
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More imagesLanguage: English
Published by Springer, 2023
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Taschenbuch. Condition: Neu. Spatial Socio-econometric Modeling (SSEM) | A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R | Manuel S. González Canché | Taschenbuch | Springer Texts in Social Sciences | xli | Englisch | 2023 | Springer | EAN 9783031248566 | Verantwortliche Person für die EU: Spri…nger Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Language: English
Published by Springer International Publishing, Springer International Publishing, 2023
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With the primary goal of expanding access to spatial data science tools, this book offers dozens of minimal or low-code functions and tutorials designed to ease the implementation of fully reproducible Spatial Socio-Econometric Modeling (SSEM) anal…yses. Designed as a University of Pennsylvania Ph.D. level course for sociologists, political scientists, urban planners, criminologists, and data scientists, this textbook equips social scientists with all concepts, explanations, and functions required to strengthen their data storytelling. It specifically provides social scientists with a comprehensive set of open-access minimal code tools to:-Identify and access place-based longitudinal and cross-sectional data sources and formats-Conduct advanced data management, including crosswalks, joining, and matching-Fully connect social network analyses with geospatial statistics-Formulate research questions designed to account for place-based factors in model specification and assess their relevance compared to individual- or unit-level indicators-Estimate distance measures across units that follow road network paths-Create sophisticated and interactive HTML data visualizations cross-sectionally or longitudinally, to strengthen research storytelling capabilities-Follow best practices for presenting spatial analyses, findings, and implications-Master theories on neighborhood effects, equality of opportunity, and geography of (dis)advantage that undergird SSEM applications and methods-Assess multicollinearity issues via machine learning that may affect coefficients' estimates and guide the identification of relevant predictors-Strategize how to address feedback loops by using SSEM as an identification framework that can be merged with standard quasi-experimental techniques like propensity score models, instrumental variables, and difference in differences-Expand the SSEM analyses to connections that emerge via social interactions, such as co-authorship and advice networks, or any form of relational dataThe applied nature of the book along with the cost-free, multi-operative R software makes the usability and applicability of this textbook worldwide.

Language: English
Published by Springer, 2023
- Softcover
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | With the primary goal of expanding access to spatial data science tools, this book offers dozens of minimal or low-code functions and tutorials designed to ease the implementation of fully reproducible Spatial Socio-Econometri…c Modeling (SSEM) analyses. Designed as a University of Pennsylvania Ph.D. level course for sociologists, political scientists, urban planners, criminologists, and data scientists, this textbook equips social scientists with all concepts, explanations, and functions required to strengthen their data storytelling. It specifically provides social scientists with a comprehensive set of open-access minimal code tools to:¿Identify and access place-based longitudinal and cross-sectional data sources and formats¿Conduct advanced data management, including crosswalks, joining, and matching¿Fully connect social network analyses with geospatial statistics¿Formulate research questions designed to account for place-based factors in model specification and assess their relevance compared to individual- or unit-level indicators¿Estimate distance measures across units that follow road network paths ¿Create sophisticated and interactive HTML data visualizations cross-sectionally or longitudinally, to strengthen research storytelling capabilities¿Follow best practices for presenting spatial analyses, findings, and implications¿Master theories on neighborhood effects, equality of opportunity, and geography of (dis)advantage that undergird SSEM applications and methods¿Assess multicollinearity issues via machine learning that may affect coefficients' estimates and guide the identification of relevant predictors¿Strategize how to address feedback loops by using SSEM as an identification framework that can be merged with standard quasi-experimental techniques like propensity score models, instrumental variables, and difference in differences¿Expand the SSEM analyses to connections that emerge via social interactions, such as co-authorship and advice networks, or any form of relational dataThe applied nature of the book along with the cost-free, multi-operative R software makes the usability and applicability of this textbook worldwide.

Language: English
Published by Elsevier Science & Technology, San Francisco, 2026
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Language: English
Published by Elsevier Science & Technology, San Francisco, 2026
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Paperback. Condition: new. Paperback. Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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