Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.

The locations of diy-geδ-bay (DGB) sites in the Mandara Mountains, northern Cameroon are hypothesized to occur as a function of their ability to see and be seen from points on the surrounding landscape. A series of geostatistical, two-way and Bayesian logistic regression analyses were performed to t...

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Main Authors: David K Wright, Scott MacEachern, Jaeyong Lee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4226507?pdf=render
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author David K Wright
Scott MacEachern
Jaeyong Lee
author_facet David K Wright
Scott MacEachern
Jaeyong Lee
author_sort David K Wright
collection DOAJ
description The locations of diy-geδ-bay (DGB) sites in the Mandara Mountains, northern Cameroon are hypothesized to occur as a function of their ability to see and be seen from points on the surrounding landscape. A series of geostatistical, two-way and Bayesian logistic regression analyses were performed to test two hypotheses related to the intervisibility of the sites to one another and their visual prominence on the landscape. We determine that the intervisibility of the sites to one another is highly statistically significant when compared to 10 stratified-random permutations of DGB sites. Bayesian logistic regression additionally demonstrates that the visibility of the sites to points on the surrounding landscape is statistically significant. The location of sites appears to have also been selected on the basis of lower slope than random permutations of sites. Using statistical measures, many of which are not commonly employed in archaeological research, to evaluate aspects of visibility on the landscape, we conclude that the placement of DGB sites improved their conspicuousness for enhanced ritual, social cooperation and/or competition purposes.
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spelling doaj.art-5f480dc1b02246cdaeb597f4abc1d9952022-12-21T18:40:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11219110.1371/journal.pone.0112191Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.David K WrightScott MacEachernJaeyong LeeThe locations of diy-geδ-bay (DGB) sites in the Mandara Mountains, northern Cameroon are hypothesized to occur as a function of their ability to see and be seen from points on the surrounding landscape. A series of geostatistical, two-way and Bayesian logistic regression analyses were performed to test two hypotheses related to the intervisibility of the sites to one another and their visual prominence on the landscape. We determine that the intervisibility of the sites to one another is highly statistically significant when compared to 10 stratified-random permutations of DGB sites. Bayesian logistic regression additionally demonstrates that the visibility of the sites to points on the surrounding landscape is statistically significant. The location of sites appears to have also been selected on the basis of lower slope than random permutations of sites. Using statistical measures, many of which are not commonly employed in archaeological research, to evaluate aspects of visibility on the landscape, we conclude that the placement of DGB sites improved their conspicuousness for enhanced ritual, social cooperation and/or competition purposes.http://europepmc.org/articles/PMC4226507?pdf=render
spellingShingle David K Wright
Scott MacEachern
Jaeyong Lee
Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.
PLoS ONE
title Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.
title_full Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.
title_fullStr Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.
title_full_unstemmed Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.
title_short Analysis of feature intervisibility and cumulative visibility using GIS, Bayesian and spatial statistics: a study from the Mandara Mountains, northern Cameroon.
title_sort analysis of feature intervisibility and cumulative visibility using gis bayesian and spatial statistics a study from the mandara mountains northern cameroon
url http://europepmc.org/articles/PMC4226507?pdf=render
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