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A Maxent Predictive Model for Hunter-Gatherer Sites in the Southern Pampas, Argentina

Bibliographic Data

ID6095641
AuthorsD J Rafuse (0000-0003-2825-4857, Consejo Nacional de Investigaciones Científicas y Técnicas, corresponding author)
Year2021
Volume7
Publication date2021-09-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueOpen Quaternary (JOURNAL)
Journal identifiersISSN: 2055-298X • E-ISSN: 2055-298X
PublisherUbiquity Press (PUBLISHER • GB)
DOI10.5334/oq.97
OpenAlexW3200291836
LanguageEN
Citations received9
References cited76

The following paper presents the results of a Species Distribution Model (SDM) for grassland hunter-gatherer archaeology sites in the southern Pampas region of Argentina. The goal of this exploratory model is to provide a complementary survey model for the detection of archaeological sites in this region, which will also help characterize and discuss site locations and regional distribution patterns of hunter-gatherer occupations. Even in this largely homogenous and highly dynamic landscape, SDMs can help guide archaeological surveys by identifying some environmental variables affecting hunter-gatherer decisions, and can provide insights into mobility and archaeological settlement patterns. Among the available tools for SDM, Maximum Entropy Modeling (Maxent) is one of the most widely used approaches in archaeological predictive modelling. After controlling for bias and adjustment of several modifiable parameters, the Maxent software provided a potentially effective predictive model to direct future archaeological survey and heritage management projects. The results of this research suggest that watercourses and slope were the key environmental factors influencing the distribution of hunter-gatherer archaeological sites in the southern Pampas region

Archaeology · Biology · Distribution (mathematics · Geography · Hunter-gatherer · Settlement (finance · Computer Science · Evolution and Paleontology Studies · Species Distribution and Climate Change · Wildlife Ecology and Conservation · Ecology

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Unique citing works9
Citations per year2,25
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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