Geographical exploration and spatial statistics analysis extended to Swiss archeological data

Details

Serval ID
serval:BIB_EF8C6595A8E9
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
Geographical exploration and spatial statistics analysis extended to Swiss archeological data
Title of the conference
Book of abstract of The 21st European Colloquium on Theoretical and Quantitative Geography (ECTQG)
Author(s)
Ceré Raphaël, Castiello  Maria Elena, Tonini Marj
Publisher
Geoffrey Caruso, Philippe Gerber, Kate Jones, Olivier Klein and Camille Perchoux
Organization
The 21st European Colloquium on Theoretical and Quantitative Geography (ECTQG)
Address
Mondorf-les-Bains, Luxembourg
ISBN
978-2-9199594-0-2
Publication state
Published
Issued date
2019
Peer-reviewed
Oui
Pages
165-166
Language
english
Notes
Luxembourg Institute of Socio-Economic Research (LISER)
Abstract
Archaeologists have to formulate hypotheses and to construct theoretical models in order to explain
the social dynamics of past human society and its interactions with the natural world. The large
amount of fragmentary data arising from ancient society’s footprints is characterized both by its spatial
configuration and by the surrounding environmental conditions. In addition, archeological datasets
come from several sources with various variable formats and are therefore often unstructured and
affected by noise. The construction of robust and comprehensive analyses for the interpretation of
different archaeological contexts is becoming a dominant issue on interdisciplinary research, which
may also include mathematical methods with a spatial statistic imprinting. Quantitative approaches
in archaeology are a current trend that significantly highlights the emergence of data-driven based
models, with the final goal of extracting as much knowledge as possible form the available information.
The present study deals with ascertained evidences of settlements related to the Roman period
inventoried in Switzerland. Archaeological excavations provide a collection of elements characterized
by their spatial distribution and additional descriptive information. These can be embedded in a
regular grid generating a new collection of regions (e.g. pixels), related to numerical or categorical
features (i.e. the presence/absence of settlement and the geo-environmental variables prone to
influence their presence). In this study, we constructed a weighted network to model the spatial
relationship among the different regions: vertices represent the regions and edges measure the
proximity between them, based on the features.
Keywords
Spatial autocorrelation, Spatial network, Archeological settlement
Publisher's website
Open Access
Yes
Create date
11/09/2019 10:56
Last modification date
25/09/2019 9:51
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