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Open AccessArticle

Investigating the Influence of Different DEMs on GIS-Based Cost Distance Modeling for Site Catchment Analysis of Prehistoric Sites in Andalusia

1
Institute of Geography, University of Cologne, Albertus-Magnus-Platz, 50923 Cologne, Germany
2
Institute of Prehistoric Archaeology, University of Cologne, Albertus-Magnus-Platz, 50923 Cologne, Germany
3
Neanderthal Museum, Talstraße 300, 40822 Mettmann, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2017, 6(2), 36; https://doi.org/10.3390/ijgi6020036
Received: 25 July 2016 / Revised: 13 January 2017 / Accepted: 18 January 2017 / Published: 26 January 2017
The overall objective of this work is to apply GIS-based cost distance modeling (CDM) to site catchment modeling and analysis of prehistoric (Solutrean) sites in Andalusia. The implementation of a GIS-method for slope-based CDM was explained in detail, so that it can be replicated easily in future studies. Additional cost components, vegetation and stream networks, were included in the method. The presented CDM approach uses slope rasters as input data, which were derived from digital elevation models (DEMs). Various DEMs that differ in cell size, accuracy and other characteristics can be applied to this method. Thus, a major goal of this work is to investigate the influence different publicly available DEMs (SRTM, ASTER GDEM, EU-DEM, official 5-m/10-m cell size DEMs) have on the results of GIS-based CDM. While the investigation was conducted on sites from different chronocultural periods, a case study was performed on Solutrean sites in order to test the CDM approach by producing actual results and then comparing and interpreting them from an archaeological perspective. The results of the DEM evaluation with resampled horizontal resolutions show a clear influence of the DEM cell size on the modeled catchment area sizes. The investigation also indicates that this influence can be superimposed by other factors, such as noise and residuals of filtered anthropogenic features, when using DEMs of different origins. View Full-Text
Keywords: slope-dependent cost functions; Tobler’s hiking function; site catchment analysis (SCA); digital elevation model (DEM); GIS-based cost distance modeling slope-dependent cost functions; Tobler’s hiking function; site catchment analysis (SCA); digital elevation model (DEM); GIS-based cost distance modeling
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Becker, D.; De Andrés-Herrero, M.; Willmes, C.; Weniger, G.-C.; Bareth, G. Investigating the Influence of Different DEMs on GIS-Based Cost Distance Modeling for Site Catchment Analysis of Prehistoric Sites in Andalusia. ISPRS Int. J. Geo-Inf. 2017, 6, 36.

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