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Predictive modelling for archaeological heritage management A research agenda

Auteur--

EditorVan Leusen M. & Kamermans H.

Jaar2005

PublicatietypeBoek

SerieNederlandse Archeologische Rapporten NAR

Volume29

Subtitel--

Pagina’s232

UitgeverRijksdienst voor het Oudheidkundig Bodemonderzoek

PlaatsAmersfoort

ISBN9789057990601

Citation key--

Trefwoorden--

Plaatsgegevens

Exemplaar78059 ReknummerT-16-5-c

Inhoud
Introduction 7-12
van Leusen M. & Kamermans H.
Project proposal 13-24
Kamermans H., Deeben J., Hallewas D., Zoetbrood P., van Leusen M. & Verhagen P.
  • Background: the BBO research programme , pp. 13-14
  • Problem orientation , pp. 14-15
  • Relevance , pp. 15-16
  • Theoretical framework , pp. 16-17
  • Research phases and themes . Procedural analysis, Research into specific themes of predictive modelling, Preparation of project report , pp. 17-19
  • Summary , pp. 19-24
A Baseline for predictive modelling in the Netherlands 25-92
van Leusen M., Deeben J., Hallewas D., Kamermans H., Verhagen P. & Zoetbrood P.
  • Introduction , pp. 25-26
  • Context: predictive modelling in international archaeology . Aims and approaches, Theory and methodology , pp. 26-35
  • Context: predictive modelling in the Netherlands . A review of regional studies, IKAW: the national predictive model, Application of predictive models in regional and local heritage management , pp. 35-51
  • Bottlenecks and development opportunities . Goals, norms, tests, Data quality, Inductive methods, Deductive methods, Statistics , pp. 51-68
  • Conclusions and further work , pp. 68-71
  • Summary , pp. 71-92
Predictive modelling and the archaeological heritage of Brandenburg (Germany) 93-108
Ducke B. & Münch U.
  • Introduction , pp. 93-94
  • Setting , pp. 94-95
  • Data acquisition , pp. 95-97
  • Data processing , pp. 97-101
  • Model building , pp. 101-105
  • Visualization and application , p. 105
  • Future research perspectives , pp. 105-108
Prospection strategies and archaeological predictive modelling 109-122
Verhagen Ph.
  • Introduction , p. 109
  • Prospection strategies . Field survey, Intrusive techniques , pp. 109-111
  • Controlling survey biases . Intersection probability, Survey intensity and testing of predictive models, Detection probability, Large or small interventions , pp. 111-116
  • Conclusions , pp. 116-122
A brief outline of causality-based cognitive archaeological probablistic modelling 123-138
Whitley T.G.
  • Introduction , pp. 123-124
  • Social theory and the landscape . The black box of cognition, The causal network of site selection , pp. 124-129
  • Modeling site selection . Discussion, Heritage management , pp. 129-135
  • Conclusions , pp. 135-138
An essay on spatial resolution in predictive modelling: pitfalls and challenges 139-148
Saile T. & Lorz C.
The Forager's Pendulum: mesolithic-neolithic landscape dynamics, land-use variability and the spatio-temporal resolution of predictive models in archaeological heritage management 149-168
Peeters H.
  • Introduction , pp. 149-150
  • Some conceptual issues , pp. 150-152
  • The Flevoland case , pp. 152-154
  • Modelling landscape dynamics , pp. 154-159
  • Towards a model of Mesolilthic-Neolithic land use , pp. 159-163
  • From land-use models to archaeological landscapes , pp. 164-165
  • How can AHM benefit from this , pp. 165-168
What can Bayesian Statistics do for archaeological predictive modelling 169-182
Millard A.
  • Introduction , p. 169
  • Bayesian statistics , pp. 169-170
  • Why adopt a Bayesian approach to predictive modelling , pp. 170-171
  • Some comments on the past use of statistics in predictive models , pp. 171-173
  • On autocorrelation and covariance in predictive models , pp. 173-174
  • A conceptual model for the processes of archaeological site location and discovery , pp. 174-175
  • A Bayesian model for the processes of archaeological site location and discovery , pp. 174-175
  • Testing models , p. 180
  • Looking forwards , pp. 180-182
Taphonomic models: using Dempster-Shafer theory ta assess the quality of archaeological data and indicative models 183-194
Ejstrud B.
  • Predictive modelling - a worrying case , p. 183
  • In search of a method , pp. 183-184
  • What is Dempster-Shafer theory , pp. 184-185
  • Dempster-Shafer and IDRISI , pp. 185-186
  • Models , pp. 186-187
  • Taphonomy and archaeology , pp. 187-188
  • Preservation and destruction , p. 188
  • History of archaeological activity , pp. 188-190
  • Registration , p. 190
  • Towards a model , pp. 190-192
  • Conclusion , pp. 192-194
Is archaeological predictive modelling a candidate for the application of expert systems 195-204
Dalla Bona L.
  • Introduction , p. 195
  • Formalizing predictive modelling knowledge , pp. 195-199
  • The role of expert systems in overall land use planning , pp. 199-202
  • Conclusion , pp. 202-204
Off the Shelf: modeling and management of historical resources 205-224
Gibson T.H.
  • Introduction , pp. 205-207
  • Heritage potential modeling of the Alberta boreal forest , pp. 207-210
  • Modeling methodology , pp. 210-213
  • Evaluating development impacts , pp. 213-214
  • Determining archaeological responses using modeling and projected impact data , pp. 214-216
  • Model improvement within a management process , pp. 216-217
  • Moving beyond statistics: an enhanced modeling approach , pp. 217-219
  • Conclusion , pp. 219-224
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