Movement across a ‘mountain barrier’: Mapping accessibility with rock-art and GIS in the Altai Mountains, Eastern Eurasia

O’Sullivan, Rebecca

doi:10.1016/j.jasrep.2019.101979

Cited by 5 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rock art sites with a wide viewshed may carry additional significance (Jacobson-Tepfer, 2019, pp. 98-99), as the location of rock art in mountain passes is often associated with commonly traversed routes (O'Sullivan, 2019). Because of its highly visible location, we suggest that the panels at Unegt Uul reflect a high-traffic area, and the panels at this location might have carried important semantic meaning (i.e.…”

Section: Environment and Biogeographymentioning

confidence: 84%

Hunting, herding, and people in the rock art of Mongolia: New discoveries in the Gobi-Altai Mountains

Vanwezer

Taylor

Bayarsaikhan

et al. 2021

Archaeological Research in Asia

View full text Add to dashboard Cite

Section: Environment and Biogeographymentioning

confidence: 84%

Hunting, herding, and people in the rock art of Mongolia: New discoveries in the Gobi-Altai Mountains

Vanwezer

Taylor

Bayarsaikhan

et al. 2021

Archaeological Research in Asia

View full text Add to dashboard Cite

“…Scripts enable robust and rapid visualisation of the data, especially in case of mapping large datasets, which presents a significant advantage compared to conventional mapping routine. This is different from the existing numerous applications of GIS [79][80][81][82][83][84][85]. For instance, compared to the scripting mapping, traditional mapping is largely based on the GUI-based approach [86][87][88][89].…”

mentioning

confidence: 99%

Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data

Lemenkova

2022

Geosciences

View full text Add to dashboard Cite

This paper explores spatial variability of the ten climatic variables of Mongolia in 2019: average minimal and maximal temperatures, wind speed, soil moisture, downward surface shortwave radiation (DSRAD), snow water equivalent (SWE), vapor pressure deficit (VPD), vapor pressure anomaly (VAP), monthly precipitation and Palmer Drought Severity Index (PDSI). The PDSI demonstrates the simplified soil water balance estimating relative soil moisture conditions in Mongolia. The research presents mapping of the climate datasets derived from TerraClimate open source repository of the meteorological and climate measurements in NetCDF format. The methodology presented the compiled observations of Mongolia visualised by GMT coding approach using Generic Mapping Tools (GMT) cartographic scripting toolset. The results present 10 new maps of climate data over Mongolia made using automated cartographic techniques of GMT. Spatial environmental and climate analysis were conducted which determine relative distribution of PDSI and temperature extremes, precipitation and soil moisture, wind speed and DSRAD. The DSRAD showed minimum at 40 Wm−2, maximum at 113 Wm−2 in the Gobi Desert region, SWE (up to 491 mm), VAP and VPD compared with landmass parameters represent powerful cartographic tools to address complex regional climate and environmental issues in Mongolia, a country with contrasting topography, extreme climate conditions and unique environmental setting.

show abstract

“…g. SRTM(NASA JPL, 2013) ,ASTER (NASA JPL, 2009) and EU-DEM (GMES RDA Project, 2013), Ordnance Survey Terrain 50 (Ordnance Survey, 2020)) that are commonly used within archaeological LCP studies (e.g Bebber et al, 2017;Browne and Wilson, 2013;Carter et al, 2019;Diwan and Doumit, 2017;Lock and Pouncett, 2010;Moutsiou and Agapiou, 2019;O'Sullivan, 2019;Rademaker et al, 2012;Rosenswig and Martínez Tuñón, 2020;Taliaferro et al, 2010…”

mentioning

confidence: 99%

Probabilistic Modelling using Monte Carlo Simulation for Incorporating Uncertainty in Least Cost Path Results: a Postdictive Roman Road Case Study

Lewis¹

2020

Preprint

View full text Add to dashboard Cite

The movement of past peoples in the landscape has been studied extensively through the use of Least Cost Path (LCP) analysis. Although methodological issues of applying LCP analysis in Archaeology have frequently been discussed, the effect of vertical error in the DEM on LCP results has not been assessed. This research proposes the use of Monte Carlo simulation as a method for incorporating and propagating the effects of vertical error on LCP results. Random error fields representing the vertical error of the DEM are calculated and incorporated into the documented and reproducible LCP modelling process using the R package leastcostpath. The development of probabilistic Least Cost Paths allows for the identification of areas that are probabilistically more likely, and likewise less likely, to have an LCP crossing a cell. Furthermore, by incorporating uncertainty into the LCP modelling process, greater confidence can be given to LCP results. These methods are applied to a Roman road case study that aims to illustrate how interpretations drawn from a single realisation of an LCP should be viewed with caution. Instead, results should be based on multiple realisations of the LCP after incorporating vertical error and interpretations should be expressed probabilistically through the use of probabilistic LCPs.

show abstract

Movement across a ‘mountain barrier’: Mapping accessibility with rock-art and GIS in the Altai Mountains, Eastern Eurasia

Cited by 5 publications

References 22 publications

Hunting, herding, and people in the rock art of Mongolia: New discoveries in the Gobi-Altai Mountains

Hunting, herding, and people in the rock art of Mongolia: New discoveries in the Gobi-Altai Mountains

Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data

Probabilistic Modelling using Monte Carlo Simulation for Incorporating Uncertainty in Least Cost Path Results: a Postdictive Roman Road Case Study

Contact Info

Product

Resources

About