书目名称 | Spatial Socio-econometric Modeling (SSEM) |
副标题 | A Low-Code Toolkit f |
编辑 | Manuel S. González Canché |
视频video | |
概述 | Removes computer programming barriers to conduct spatial data science (SDS).Offers dozens of step-by-step SDS tutorials via low-code functions.Provides distance and identification frameworks not avail |
丛书名称 | Springer Texts in Social Sciences |
图书封面 |  |
描述 | 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) 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-se |
出版日期 | Textbook 2023 |
关键词 | Spatial Modeling; Open-source software; Data Science and Visualization; Conceptual and methodological t |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-24857-3 |
isbn_softcover | 978-3-031-24856-6 |
isbn_ebook | 978-3-031-24857-3Series ISSN 2730-6135 Series E-ISSN 2730-6143 |
issn_series | 2730-6135 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |