Supplementary data to the article 'Using archaeological road data to evaluate limits of topography on road location: Roman roads in the Near East as a test case'

Supplementary data to the article 'Using archaeological road data to evaluate limits of topography on road location' Author: Adam Pažout For more detailed description and methodology, please consult the article. Files contained: 1) levant_FABDEM_30m.tif Digital Elevation Model (DEM) derived from FABDEM (https://doi.org/10.5523/bris.s5hqmjcdj8yo2ibzi9b4ew3sn) for the region of interest and clipped to the coastline. 2) levant_tpi_r33.tif Topographic position index calculated in neighbourhood of radius = 33 cells over levant_FABDEM_30m.tif. 3) levant_rug_c3.tif Vector ruggedness measure local (Dilts et al 2023, https://doi.org/10.1007/s10980-023-01646-6) calculated for 3x3 cell neighbourhood over levant_FABDEM_30m.tif. 4) fete_lcps_modelA.tif Raster layer with all calculated FETE LCPs aggregated in 1,000 m neighbourhood, showing frequency of LCPs crossing each raster cell in the region of interest. Isotropic model A. 5) fete_lcps_modelB.tif Raster layer with all calculated FETE LCPs aggregated in 1,000 m neighbourhood, showing frequency of LCPs crossing each raster cell in the region of interest. Isotropic model B. 6) fete_lcps_tobler.tif Raster layer with all calculated FETE LCPs aggregated in 1,000 m neighbourhood, showing frequency of LCPs crossing each raster cell in the region of interest. Tobler's walking function. 7) fete_lcps_naismith.tif Raster layer with all calculated FETE LCPs aggregated in 1,000 m neighbourhood, showing frequency of LCPs crossing each raster cell in the region of interest. Naismith hiking function. 8) fete_lcps_herzog.tif Raster layer with all calculated FETE LCPs aggregated in 1,000 m neighbourhood, showing frequency of LCPs crossing each raster cell in the region of interest. Herzog's function. 9) fete_lcps_llobera.tif Raster layer with all calculated FETE LCPs aggregated in 1,000 m neighbourhood, showing frequency of LCPs crossing each raster cell in the region of interest. Llobera's and Sluckin's function. 10) levant_roads_analysed.shp Polyline shapefile containing all 'Certain' Roman road segments in the region of interest, adapted from Itiner-e: atlas of ancient roads (https://itiner-e.org/). Values of average slope (Avg_Slope), maximum slope (Max_Slope), average slope degrees (av_slope_d), maximum slope degrees (mx_slope_d), minimum, maximum and mean TPI (tpi_r33_mi, tpi_r33 _ma, tpi_r33_me, minimum, maximum and mean VRML (vrml_min, vrml_mmax, vrml_mean) are stored in the attribute table in the columns whose name is indicated in parenthesis. Output of the project VIA-TARIQ: Analysing the long-term change and persistency of the Roman road system in the Levant This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101151931