dc.contributor.author |
Miera, Jan |
|
dc.contributor.author |
Schmidt, Karsten |
|
dc.contributor.author |
Gries, Philipp |
|
dc.date.accessioned |
2023-10-17T13:57:25Z |
|
dc.date.available |
2023-10-17T13:57:25Z |
|
dc.date.issued |
2023-10-31 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/146417 |
|
dc.identifier.uri |
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1464174 |
de_DE |
dc.identifier.uri |
http://dx.doi.org/10.15496/publikation-87758 |
|
dc.description |
Ein korrigierter Nachdruck kann unter https://dx.doi.org/10.15496/publikation-94865 aufgerufen werden. |
de_DE |
dc.description.abstract |
This paper provides a review of the history and archaeological applications
of Site Exploitation Territories (SET) and presents the first seamless workflow
for defining SET using the open source statistical language R. The concept of the
SET was developed in the 1970s as an analytical tool to study finds from archaeological
sites in relation to their geographical environment. A SET designates
a time-distance based territory, which is visited on a daily basis by sedentary
farmers or mobile groups as they deal with their subsistence. Therefore, the
shape of a SET depends on the topography surrounding a site: In landscapes
with a flat relief SET have an almost circular shape, in mountainous regions they
are more distorted. Until recently, the determination of SET was performed
manually using simple walking distances. Today, these results are hardly reproducible.
The presented workflow is easy to use and calculates SET in a fast
and reproducible way while taking into account walking speed and topography
(slope) via Tobler’s Hiking Function. It is tested on four digital elevation models
(DEM) using 87 settlements dating to the pre-Roman Iron Age, located in the
Baar region in south-western Germany. Based on the results of the case study,
we recommend the use of open source CGIAR-CSI SRTM data. The results are
nearly identical to those based on LiDAR data and require significantly less
computational time for processing. |
en |
dc.language.iso |
en |
de_DE |
dc.publisher |
Universität Tübingen |
de_DE |
dc.subject.classification |
Siedlungsarchäologie , Archäologie , Hang |
de_DE |
dc.subject.ddc |
930 |
de_DE |
dc.subject.other |
Erschließungsgebiet |
de_DE |
dc.subject.other |
Archäologische Theorie |
de_DE |
dc.subject.other |
Toblers Wanderfunktion |
de_DE |
dc.subject.other |
Settlement Archaeology |
en |
dc.subject.other |
Site Exploitation Territory |
en |
dc.subject.other |
Archaeological Theory |
en |
dc.subject.other |
Slope |
en |
dc.subject.other |
Toblers Hiking Function |
en |
dc.title |
Modeling timescapes: Delineating Site Exploitation Territories (SET) by using topography derivates and the open-source statistical language R |
en |
dc.type |
ConferencePaper |
de_DE |
utue.publikation.fachbereich |
Archäologie |
de_DE |
utue.publikation.fakultaet |
5 Philosophische Fakultät |
de_DE |
utue.publikation.source |
Human History and Digital Future : Proceedings of the 46th Annual Conference on Computer Applications and Quantitative Methods in Archaeology |
de_DE |
utue.publikation.noppn |
yes |
de_DE |