2017
DOI: 10.1007/s12520-017-0561-y
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A systematic GIS-based analysis of settlement developments in the landscape of Venusia in the Hellenistic-Roman period

Abstract: This paper investigates the settlement developments of the landscape around the ancient town of Venusia in southern Italy using legacy field survey data. A Latin colony was established here in 291 BC and also other subsequent Roman colonization movements are known from the literary sources. As in many other Roman colonial landscapes, trends in the settlement data of Venusia have previously been linked to the impact of Roman colonization, which is usually understood as a drastic transformation of the pre-Roman … Show more

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Cited by 25 publications
(12 citation statements)
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“…Water procurement and management seem to have determined the clear tendency for settlement along the main Xeros River and the small valleys formed by its streams from prehistory to Late Antiquity, always at a safe distance from the water to avoid the risk of flooding (cf. [85]).…”
Section: Discussionmentioning
confidence: 99%
“…Water procurement and management seem to have determined the clear tendency for settlement along the main Xeros River and the small valleys formed by its streams from prehistory to Late Antiquity, always at a safe distance from the water to avoid the risk of flooding (cf. [85]).…”
Section: Discussionmentioning
confidence: 99%
“…The use of GIS is well established in the field of landscape archaeology (Conolly and Lake 2006;Chapman 2006;Campana 2018) although with its limits and critics, and it has been implemented elsewhere also for reviewing and testing legacy data (Verhagen 2018;Casarotto, Pelgrom, and Stek 2018).…”
Section: Database Of Sitesmentioning
confidence: 99%
“…e 100 meter regular grid was generated within a 3 km buffer area of BRT line to analyze the residential population. Satellite image analysis was carried out in whole buffer area around each station to determine the settlement, population density, settlement hotspots, road density function, and priority graph [31][32][33]. Studies use GIS as the best model for transportation networking, accessibility analysis, and settlement density [34,35], spatial distribution and settlement analytics [36], and the relation of transportation to the built environment [37].…”
Section: Gis Analysismentioning
confidence: 99%