The Regional Geoboundarization of the Mexican Population in the United States through Saenzian Logic.

Carlos Siordia
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Abstract

The population proliferation of Latinos in the U.S. has propelled them into the new majority-minority. Mexicans make up more than half of all Latinos/as. Social scientists have long known that accounting for social environment is crucial in deciphering how social structures interact with individual human behavior. Academic discourse needs to explicitly delineate the logic and best practices for measuring social contexts. Standardizing how contexts are geographically boundarized and subsequently measured could provide multilevel and spatial modeling researchers a more solid theoretical foundation for nesting individuals and measuring their environment. Context measuring standardization would make cross study comparisons more readily available. This project seeks to contribute to this endeavor by employing and advancing the "Saenzian" logic for regionalizing Mexican origin Latinos/as. The proposed solution applies to social research that uses U.S. Census Bureau microdata to investigate the Mexican population. By using Saenzian concepts, this study explores and proposes three alternatives for geographically regionalizing the Mexican population. Maps are utilized to present the logic for the classical, new, and clustered Saenzian regional classification schemes. Findings comparing the classical and new approach reveal that smaller geographical units reveal important insights that are typically hidden by large polygon conglomerations. Findings from the clustered analysis reveal that regions are more tightly and well defined. A discussion is offered in closing posing basic theoretical questions on what constitutes a region.

Abstract Image

Abstract Image

从萨恩斯逻辑看美国墨西哥人口的地域地理边界化。
拉美裔人口在美国的激增推动他们成为新的多数少数族裔。墨西哥人占所有拉美裔人口的一半以上。社会科学家早就知道,在解释社会结构如何与个人行为相互作用方面,社会环境是至关重要的。学术论述需要明确地描述衡量社会背景的逻辑和最佳实践。标准化环境的地理边界和随后的测量可以为多层次和空间建模研究人员提供更坚实的理论基础,用于筑巢个体和测量它们的环境。背景测量标准化将使交叉研究比较更容易获得。本项目旨在通过采用和推进“萨恩斯”逻辑来对墨西哥裔拉丁美洲人/美洲人进行区域化,从而为这一努力做出贡献。提出的解决方案适用于使用美国人口普查局微数据调查墨西哥人口的社会研究。通过使用Saenzian概念,本研究探索并提出了墨西哥人口地理区域化的三种选择。地图被用来表示经典的、新的和聚类的Saenzian区域分类方案的逻辑。比较经典方法和新方法的发现表明,较小的地理单位揭示了通常被大型多边形团块所隐藏的重要见解。聚类分析的结果表明,区域更紧密,定义更明确。最后进行了讨论,提出了关于什么构成区域的基本理论问题。
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