Deletion/Substitution/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning

R. Fernandes; G. Geeven; S.K.A. Soetens; V. Klontza-Jaklova

doi:10.1016/j.jas.2011.03.035

Deletion/Substitution/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning

R. Fernandes, G. Geeven, S.K.A. Soetens, V. Klontza-Jaklova

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

This paper introduces GIS-based statistical methods for the study of settlement patterning in an archaeological context. The main aspect is an improvement over suboptimal stepwise statistical model selection procedures, with the introduction of a Deletion/Substitution/Addition (DSA) algorithm, a systematic model selection algorithm that provides an optimal model choice. The paper also introduces the combined use of Receiving Operator Characteristic (ROC) curves, and variable ranking as key tools aimed at an understanding of settlement patterning causation. An illustrative case study is provided whereby both a purely environmental and a mixed environmental/historical model (based on settlement hierarchy considerations) are investigated. © 2011 Elsevier Ltd.

Original language	English
Pages (from-to)	2293-2300
Number of pages	8
Journal	Journal of Archaeological Science
Volume	38
Issue number	9
DOIs	https://doi.org/10.1016/j.jas.2011.03.035
Publication status	Published - 2011

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title = "Deletion/Substitution/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning",

abstract = "This paper introduces GIS-based statistical methods for the study of settlement patterning in an archaeological context. The main aspect is an improvement over suboptimal stepwise statistical model selection procedures, with the introduction of a Deletion/Substitution/Addition (DSA) algorithm, a systematic model selection algorithm that provides an optimal model choice. The paper also introduces the combined use of Receiving Operator Characteristic (ROC) curves, and variable ranking as key tools aimed at an understanding of settlement patterning causation. An illustrative case study is provided whereby both a purely environmental and a mixed environmental/historical model (based on settlement hierarchy considerations) are investigated. {\textcopyright} 2011 Elsevier Ltd.",

author = "R. Fernandes and G. Geeven and S.K.A. Soetens and V. Klontza-Jaklova",

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AU - Geeven, G.

AU - Soetens, S.K.A.

AU - Klontza-Jaklova, V.

PY - 2011

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AB - This paper introduces GIS-based statistical methods for the study of settlement patterning in an archaeological context. The main aspect is an improvement over suboptimal stepwise statistical model selection procedures, with the introduction of a Deletion/Substitution/Addition (DSA) algorithm, a systematic model selection algorithm that provides an optimal model choice. The paper also introduces the combined use of Receiving Operator Characteristic (ROC) curves, and variable ranking as key tools aimed at an understanding of settlement patterning causation. An illustrative case study is provided whereby both a purely environmental and a mixed environmental/historical model (based on settlement hierarchy considerations) are investigated. © 2011 Elsevier Ltd.

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JO - Journal of Archaeological Science

JF - Journal of Archaeological Science

IS - 9

ER -

Deletion/Substitution/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning

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