Data & IT
Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling
Marieka Brouwer Burg • Hans Peeters • William A Lovis
Inbunden
789:-
Uppskattad leveranstid 10-16 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Pocket/Paperback 789:-
This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced to the modeling process is critical, as are strategies for minimizing, reconciling, or accommodating such uncertainty. Included chapters provide unique perspectives on uncertainty in archaeological modeling, ranging in both theoretical and methodological orientation. The strengths and weaknesses of various identification and mitigation techniques are discussed, in particular sensitivity analysis. The chapters demonstrate that for archaeological modeling purposes, there is no quick fix for uncertainty; indeed, each archaeological model requires intensive consideration of uncertainty and specific applications for calibration and validation. As very few such techniques have been problematized in a systematic manner or published in the archaeological literature, this volume aims to provide guidance and direction to other modelers in the field by distilling some basic principles for model testing derived from insight gathered in the case studies presented. Additionally, model applications and their attendant uncertainties are presented from distinct spatio-temporal contexts and will appeal to a broad range of archaeological modelers. This volume will also be of interest to non-modeling archaeologists, as consideration of uncertainty when interpreting the archaeological record is also a vital concern for the development of non-formal (or implicit) models of human behavior in the past.
- Illustratör: Bibliographie 25 schwarz-weiße und 20 farbige Abbildungen
- Format: Inbunden
- ISBN: 9783319278315
- Språk: Engelska
- Antal sidor: 175
- Utgivningsdatum: 2016-05-27
- Förlag: Springer International Publishing AG