About Propylaeum-Dok | Viewer | Contact | Imprint |
  1. HOME
  2. Search
  3. Fulltext search
  4. Browse
  5. Recent Items rss
  6. Publish
  7. Englisch

Applying ecological niche factor analysis for predictive modelling in the Kaulonia field survey

Arnese, Alessio

In: Posluschny, A. ; Lambers, K. ; Herzog, I. (Hrsgg.): Layers of Perception. Proceedings of the 35th International Conference on Computer Applications and Quantitative Methods in Archaeology (CAA), Berlin, 2.-6. April 2007. Koll. Vor- u. Frühgesch. 10. Bonn 2008 306 (Abstract)

[thumbnail of 09_04_arnese_kaulonia.pdf] PDF, English
Download (1MB) | Terms of use
For citations of this document, please do not use the address displayed in the URL prompt of the browser. Instead, please cite with one of the following:

Abstract

During the archaeological survey in Kaulonia (Calabria, Southern Italy), we observed a pattern in the distribution of Bronze Age finds. Due to that observation, we tried to define both a model of these findings and a map of their probability of presence. We have chosen a method applied to model animal distribution, the Ecological Niche Factor Analysis (ENFA) that works without absence data. ENFA computes the suitability function by comparing the species distribution in the eco-geographical variables (EGV) space with that of the whole set of cells. The model describes the Bronze Age findings as more influenced first by high elevations, then by the distance from sea. In the next survey campaigns, we have tested the Habitat Suitability map, surveying new areas and we found new concentrations of Bronze Age finds where there is a high potential on the Habitat Suitability map.

Document type: Book Section
Version: Secondary publication
Date Deposited: 13 Apr 2010 13:46
Faculties / Institutes: Research Project, Working Group > Individuals
DDC-classification: Alte Geschichte, Vor- und Frühgeschichte, Archäologie
Subject (Propylaeum): Prehistoric Archaeology
Classical Archaeology
Controlled Keywords: Archäologie, Informatik, Computerunterstütztes Verfahren, Computervisualistik, Interdisziplinäre Forschung, Archäologische Prospektion
Subject (classification): History of the ancient world to ca. 499
Countries/Regions: Italy and adjacent territories (Antiquity)