2011
DOI: 10.1016/j.jas.2011.03.024
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Multiple pathways across past landscapes: circuit theory as a complementary geospatial method to least cost path for modeling past movement

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Cited by 102 publications
(50 citation statements)
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References 44 publications
(59 reference statements)
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“…For more than a decade, the use of geographic information systems (GIS) in archaeology has enabled increasingly sophisticated means of modeling human movement at various geographic scales (e.g., Bellavia, 2006;Fabrega-Alvarez, 2006;Harris, 2000;Howey, 2011;Whitley and Hicks, 2003;White and Surface-Evans, 2012). Leveraging digital data on elevation and sometimes land cover (Howey, 2007), GIS-centric movement studies in archaeology have been used primarily to create models that mathematically predict where movement was likely to have been channeled on a specific piece of terrain based on preconditions defined by the investigator (e.g., Harris, 2000).…”
Section: Introductionmentioning
confidence: 99%
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“…For more than a decade, the use of geographic information systems (GIS) in archaeology has enabled increasingly sophisticated means of modeling human movement at various geographic scales (e.g., Bellavia, 2006;Fabrega-Alvarez, 2006;Harris, 2000;Howey, 2011;Whitley and Hicks, 2003;White and Surface-Evans, 2012). Leveraging digital data on elevation and sometimes land cover (Howey, 2007), GIS-centric movement studies in archaeology have been used primarily to create models that mathematically predict where movement was likely to have been channeled on a specific piece of terrain based on preconditions defined by the investigator (e.g., Harris, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…Leveraging digital data on elevation and sometimes land cover (Howey, 2007), GIS-centric movement studies in archaeology have been used primarily to create models that mathematically predict where movement was likely to have been channeled on a specific piece of terrain based on preconditions defined by the investigator (e.g., Harris, 2000). The basic methodology for most GIS movement studies draws on functions available within commercial and open source GIS software packages that are now well established within archaeology (Howey, 2011;Collischonn and Pilar, 2000;Llobera et al, 2011). First, a cost surface (also referred to as a cost-of-passage map or friction surface) is generated that numerically expresses the difficulty of moving between individual cells in a raster grid given a specific mode of transportation (Collischonn and Pilar, 2000:397;Llobera et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…In most cases, these friction surfaces are mainly based on the slope of the terrain. However, slope generally has not been the single decisive factor in past movement through the landscape (Howey, 2011). Alternatively, optimal-path calculations are used to better understand the formative principles of routes and paths and to compare these to historically documented routes (Posluschny and Herzog, 2011;Doneus, 2013).…”
Section: Route Network and Gis Modellingmentioning
confidence: 99%
“…Alternatively, optimal-path calculations are used to better understand the formative principles of routes and paths and to compare these to historically documented routes (Posluschny and Herzog, 2011;Doneus, 2013). Other less-frequently applied route-network modelling techniques include circuit modelling (Howey, 2011) and From Everywhere To Everywhere (FETE) (White and Barber, 2012). Often these route-network modelling techniques Contemporary rivers are visible in blue.…”
Section: Route Network and Gis Modellingmentioning
confidence: 99%
“…LCP and circuit analyses are both run on the same input surfaces and are greatly influenced by the selection and weighting of input criteria; however, they process this data with different spatial transformations. Comparing concordances or discordances between the outputs of the two analyses can help to verify that a model such as HGLUM behaves as it was designed (Howey, 2011).…”
Section: Additional Strategies: Implementing Multiple Spatial Analysesmentioning
confidence: 99%