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The Dig It Check It model

This data article describes how the Dig It Check It (DICI) model operates. The purpose of the DICI model is to assess the effectiveness of a specified subsurface sampling program in the detection of archaeological sites (Way and Tabrett, in press) [1]. Specifically, the aim of the model is to determ...

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Detalles Bibliográficos
Autores principales: Way, Amy Mosig, Tabrett, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143770/
https://www.ncbi.nlm.nih.gov/pubmed/30238027
http://dx.doi.org/10.1016/j.dib.2018.08.131
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author Way, Amy Mosig
Tabrett, Amy
author_facet Way, Amy Mosig
Tabrett, Amy
author_sort Way, Amy Mosig
collection PubMed
description This data article describes how the Dig It Check It (DICI) model operates. The purpose of the DICI model is to assess the effectiveness of a specified subsurface sampling program in the detection of archaeological sites (Way and Tabrett, in press) [1]. Specifically, the aim of the model is to determine the inherent biases of the specified sampling program, i.e. what is the probability that sites of a certain size, density and density-distribution will be, or were, missed by the sampling program. A simulation is run which randomly places sites, the characteristics of which can be varied between runs, in a sampling area with the specified test-pit layout to determine the probability of overlap between the test-pits and sites with the selected characteristics. When overlap does occur, the site is recorded as intersected. The model then calculates the site density at that point and compares it with the test-pit size to determine whether the density is great enough for detection to also occur.
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spelling pubmed-61437702018-09-20 The Dig It Check It model Way, Amy Mosig Tabrett, Amy Data Brief Social Science This data article describes how the Dig It Check It (DICI) model operates. The purpose of the DICI model is to assess the effectiveness of a specified subsurface sampling program in the detection of archaeological sites (Way and Tabrett, in press) [1]. Specifically, the aim of the model is to determine the inherent biases of the specified sampling program, i.e. what is the probability that sites of a certain size, density and density-distribution will be, or were, missed by the sampling program. A simulation is run which randomly places sites, the characteristics of which can be varied between runs, in a sampling area with the specified test-pit layout to determine the probability of overlap between the test-pits and sites with the selected characteristics. When overlap does occur, the site is recorded as intersected. The model then calculates the site density at that point and compares it with the test-pit size to determine whether the density is great enough for detection to also occur. Elsevier 2018-08-31 /pmc/articles/PMC6143770/ /pubmed/30238027 http://dx.doi.org/10.1016/j.dib.2018.08.131 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Social Science
Way, Amy Mosig
Tabrett, Amy
The Dig It Check It model
title The Dig It Check It model
title_full The Dig It Check It model
title_fullStr The Dig It Check It model
title_full_unstemmed The Dig It Check It model
title_short The Dig It Check It model
title_sort dig it check it model
topic Social Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143770/
https://www.ncbi.nlm.nih.gov/pubmed/30238027
http://dx.doi.org/10.1016/j.dib.2018.08.131
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