Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/188520
Title: The Study of spatiotemporal patterns integrating temporal uncertainty in late prehistoric settlements in northeastern Spain
Author: Yubero Gómez, Maria
Rubio, Xavier
López-Cachero, F. Javier, 1972-
Keywords: Anàlisi espacial (Estadística)
Sistemes d'informació geogràfica
Prehistòria
Península Ibèrica
Spatial analysis (Statistics)
Geographic information systems
Prehistory
Iberian Peninsula
Issue Date: 2016
Publisher: Springer Verlag
Abstract: This paper explores the integration of two variables that are typically difficult to use in spatial analysis: time and uncertainty. A framework is constructed to analyse mid- and long-term variation in settlement dynamics during late prehistory in northeastern Spain. Following previous proposals, an aoristic model is built with ceramic dating to feed a Monte Carlo simulation that explores the case study using a discrete time-step approach. At the same time, available radiometric dating is used to validate the accuracy of the simulation results. Departing from the static analysis of spatial variables, the model proposes a new approach by which researchers can address temporal uncertainty. The results show that patterns detected by classical spatial analysis can be produced by artefacts derived from the division of time in chronologies instead of discrete time periods. The model is also used to compare a-priori identical variations whose rate of change, when analysed with this approach, is revealed to be completely different.
Note: Versió postprint del document publicat a: https://doi.org/10.1007/s12520-015-0231-x
It is part of: Archaeological and Anthropological Sciences, 2016, vol. 8, num. 3, p. 477-490
URI: http://hdl.handle.net/2445/188520
Related resource: https://doi.org/10.1007/s12520-015-0231-x
ISSN: 1866-9557
Appears in Collections:Articles publicats en revistes (Història i Arqueologia)

Files in This Item:
File Description SizeFormat 
648324.pdf641.22 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.