Practical applications of GIS for archaeologist : a predictive modeling toolkit

The use of GIS is the most powerful technology introduced to archaeology since the introduction of carbon 14 dating. The most widespread use of this technology has been for the prediction of archaeological site locations. This book focuses on the use of GIS for archaeological predictive modeling. The contributors include internationally recognized researchers who have been at the forefront of this revolutionary integration of GIS and archaeology, as well as first generation researchers who have begun to critically apply this new technology and explore its theoretical implications.

R. Joe BrandonKonnie L. Wescott and R. Joe BrandonKonnie L. WescottRobert E. Warren and David L. AschRichard B. Duncan and Kristen A. BeckmanKonnie L. Wescott and James A. KuiperLuke Dalla BonaKathleen M. Sydoriak AllenJon B. Hageman and David A. BennettJames I. EbertTim Church and R. Joe Brandon and Galen R. Burgett

Contributors	p. xi
Preface	p. xiii
Acknowledgments	p. xv
1 Introduction	p. 1
2 A Predictive Model of Archaeological Site Location in the Eastern Prairie Peninsula	p. 5
2.1 Introduction	p. 5
2.2 Predictive modeling	p. 6
2.3 Materials and methods	p. 9
2.4 Results	p. 16
2.5 Discussion and conclusions	p. 25
3 The Application of GIS Predictive Site Location Models within Pennsylvania and West Virginia	p. 33
3.1 Introduction	p. 33
3.2 Background	p. 34
3.3 Predictive model development	p. 34
3.4 Additional GIS Predictive Models	p. 48
3.5 Discussion	p. 55
3.6 Conclusions	p. 56
4 Using a GIS to Model Prehistoric Site Distributions in the Upper Chesapeake Bay	p. 59
4.1 Introduction	p. 59
4.2 Aberdeen proving ground	p. 60
4.3 The model	p. 60
4.4 Results	p. 67
5 Protecting Cultural Resources through Forest Management Planning in Ontario Using Archaeological Predictive Modeling	p. 73
5.1 Introduction	p. 73
5.2 Background	p. 74
5.3 Modeling methodology	p. 75
5.4 Model research and development	p. 77
5.5 Pilot projects	p. 78
5.6 Oil and water can mix! Integrating archaeology into forest management planning	p. 94
5.7 Summary	p. 97
6 Considerations of Scale in Modeling Settlement Patterns Using GIS: An Iroquois Example	p. 101
6.1 Introduction	p. 101
6.2 Spatial scale and kinds of problems	p. 102
6.3 Global, regional, and local views of the Iroquoian world	p. 103
6.4 GIS and spatial scale: global, regional, and local views	p. 105
6.5 Central New York region: regional and local	p. 108
6.6 Conclusions	p. 110
7 Construction of Digital Elevation Models for Archaeological Applications	p. 113
7.1 Introduction	p. 113
7.2 Why should the archaeologist care about interpolation?	p. 114
7.3 What is interpolation?	p. 115
7.4 Selecting an interpolation algorithm	p. 117
7.5 A Belizean case study	p. 118
7.6 Conclusion	p. 124
8 The State of the Art in "Inductive" Predictive Modeling: Seven Big Mistakes (and Lots of Smaller Ones)	p. 129
8.1 Introduction	p. 129
8.2 GIS is revolutionizing predictive modeling	p. 129
8.3 Predictive modeling predicts and models the past	p. 130
8.4 What we want to predict is site location	p. 130
8.5 Proximity to environmental variables is important	p. 131
8.6 Maps contain environmental variables	p. 132
8.7 Map data is inaccurate	p. 132
8.8 The accuracy of inductive predictive models can be determined	p. 133
9 GIS Applications in Archaeology: Method in Search of Theory	p. 135
9.1 Current use of GIS in archaeology	p. 135
9.2 Correlative predictive models	p. 136
9.3 The resource landscape	p. 142
9.4 An alternative: explanatory models from a landscape perspective	p. 146
9.5 Tools to tackle landscapes	p. 147
9.6 The temporal dimension	p. 147
9.7 Scale and grain	p. 148
9.8 The role of climate	p. 148
9.9 Geomorphological processes and their impact	p. 148
9.10 Summary	p. 149
9.11 Concluding remarks	p. 150
Index	p. 156

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