دورية أكاديمية
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Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale.

التفاصيل البيبلوغرافية
العنوان: Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale.
المؤلفون: Thompson AE; Department of Geography and the Environment, The University of Texas at Austin, Austin, TX, United States of America., Walden JP; Department of Anthropology, Harvard University, Cambridge, MA, United States of America., Chase ASZ; Mansueto Institute Postdoctoral Fellow and Department of Anthropology Postdoctoral Scholar, The University of Chicago, Chicago, IL, United States of America., Hutson SR; Department of Anthropology, University of Kentucky, Lexington, KY, United States of America., Marken DB; Department of Anthropology, Bloomsburg University of Pennsylvania, Bloomsburg, PA, United States of America., Cap B; Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, United States of America., Fries EC; Department of Anthropology, University of Nevada, Las Vegas, Las Vegas, NV, United States of America., Guzman Piedrasanta MR; Department of Anthropology, University of Central Florida, Orlando, FL, United States of America., Hare TS; Department of Sociology, Social Work, and Criminology, Morehead State University, Morehead, KY, United States of America., Horn SW 3rd; MesoAmerican Research Center, University of California, Santa Barbara, Santa Barbara, CA, United States of America., Micheletti GJ; Department of Anthropology, University of Central Florida, Orlando, FL, United States of America., Montgomery SM; Department of Anthropology and Archaeology, University of Calgary, Calgary, AB, Canada., Munson J; Department of Anthropology-Sociology, Lycoming College, Williamsport, PA, United States of America., Richards-Rissetto H; School of Global Integrative Studies, University of Nebraska, Lincoln, Lincoln, NE, United States of America., Shaw-Müller K; Department of Anthropology, University of Toronto, Toronto, ON, Canada., Ardren T; Department of Anthropology, University of Miami, Coral Gables, FL, United States of America., Awe JJ; Department of Anthropology, Northern Arizona University, Flagstaff, AZ, United States of America., Brown MK; Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, United States of America., Callaghan M; Department of Anthropology, University of Central Florida, Orlando, FL, United States of America., Ebert CE; Department of Anthropology, University of Pittsburgh, Pittsburgh, PA, United States of America., Ford A; MesoAmerican Research Center, University of California, Santa Barbara, Santa Barbara, CA, United States of America., Guerra RA; Department of Anthropology, Galen University, Cayo, Belize, C.A.; Department of Anthropology, University of New Mexico, Albuquerque, NM, United States of America., Hoggarth JA; Department of Anthropology, Baylor University, Waco, TX, United States of America., Kovacevich B; Department of Anthropology, University of Central Florida, Orlando, FL, United States of America., Morris JM; Institute of Archaeology, National Institute of Culture and History, Belmopan, Belize, C.A., Moyes H; Department of Anthropology and Heritage Studies, University of California, Merced, Merced, CA, United States of America., Powis TG; Department of Anthropology, Kennesaw State University, Kennesaw, GA, United States of America., Yaeger J; Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, United States of America., Houk BA; Department of Sociology, Anthropology, and Social Work, Texas Tech University, Lubbock, TX, United States of America., Prufer KM; Department of Anthropology, University of New Mexico, Albuquerque, NM, United States of America., Chase AF; Department of Anthropology, Pomona College, Claremont, CA, United States of America., Chase DZ; Vice President for Academic Innovation, Student Success, and Strategic Initiatives, Claremont Graduate University, Clermont, CA, United States of America.
المصدر: PloS one [PLoS One] 2022 Nov 02; Vol. 17 (11), pp. e0275916. Date of Electronic Publication: 2022 Nov 02 (Print Publication: 2022).
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Residence Characteristics* , Family Characteristics*, Humans ; Cities ; Environment ; Cluster Analysis
مستخلص: Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method-combining Average Nearest Neighbor (ANN) and Kernel Density (KD) analyses of household groups-to identify potential neighborhoods based on clusters of households at 23 ancient centers across the Maya Lowlands. While a one-size-fits all model does not work for neighborhood identification everywhere, the ANN/KD method provides quantifiable data on the clustering of ancient households, which can be linked to environmental zones and urban scale. We found that centers in river valleys exhibited greater household clustering compared to centers in upland and escarpment environments. Settlement patterns on flat plains were more dispersed, with little discrete spatial clustering of households. Furthermore, we categorized the ancient Maya centers into discrete urban scales, finding that larger centers had greater variation in household spacing compared to medium-sized and smaller centers. Many larger political centers possess heterogeneity in household clustering between their civic-ceremonial cores, immediate hinterlands, and far peripheries. Smaller centers exhibit greater household clustering compared to larger ones. This paper quantitatively assesses household clustering among nearly two dozen centers across the Maya Lowlands, linking environment and urban scale to settlement patterns. The findings are applicable to ancient societies and modern cities alike; understanding how humans form multi-scalar social groupings, such as neighborhoods, is fundamental to human experience and social organization.
Competing Interests: The authors have declared that no competing interests exist.
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تواريخ الأحداث: Date Created: 20221102 Date Completed: 20221104 Latest Revision: 20221105
رمز التحديث: 20240513
مُعرف محوري في PubMed: PMC9629605
DOI: 10.1371/journal.pone.0275916
PMID: 36322539
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0275916