GIS book for CRM firms & New CRM jobs URL

[R. Joe Brandon]

I wanted to announce the publication through Taylor and Francis of Konnie 
Wescott and my book Practical Applications of GIS in Archaeology: A 
Predictive Modeling Kit (GIS Data Series).  As many CRM firms today are 
beginning to heavily utilize GIS we felt that this would be a timely and 
useful volume.  This book was conceptualized as a concise practical volume 
that would not be dated by hip-to-minute technobabble. Instead we asked 
for, and the authors responded, with solid chapters that provide practical 
approaches for implementing predictive modeling in archaeology. Chapters 
also provide timely cautionary comments about potential pitfalls 
researchers may encounter in predictive modeling, and new directions that 
the field can move.   We have included a searchable CD with the book in PDF 
format, which we feel makes this quite a handy reference. I personally 
enjoy having a physical book to flip through for reading, but when 
researching, a searchable digital version can be a great help (though sadly 
T&F forced us to cripple the printing capabilities).   To make the book 
affordable Konnie and I planned on only having black and white images in 
the print version, for those who need to view the images used in the book 
in color, the they are provided on the CD.

A table of Contents for the book is attached below.

You can link to the book directly via http://books.shovelbums.org.

For the record:   Konnies last name is Wescott NOT Westcott as it appears 
on the cover. Her name was correct in the proofs but somehow the editor 
managed to mess up and spell her name wrong on the cover of the book, hence 
even the on-line stores have it spelled wrong. We have been promised that 
the second edition will correct this problem.

Second news

I would also like to announce the new home of the international archaeology 
related jobs mailing list that I moderate Shovelbums at 
http://www.shovelbums.org (currently 1150 subscribers). Feel free to 
bookmark this resource and sign up to announce your firm's positions or, 
for CRM employees, to keep abreast of where the jobs are happening (I 
recommend digest mode).  I set up this URL as it is much easier for folks 
to remember than the long subscription information I had been passing 
on.  If you are affiliated with an anthropology department, please pass 
this easy to remember URL on to the students.  Information on how to 
subscribe is on the home page.  Please note that this address is a .org NOT 
a .com.  Unfortunately a list member acquired the .com address several days 
prior to my registering, and the two sites are in no way related, though I 
suspect .org is more appropriate to the goals of this service.

This free service is supported solely by proceeds from users utilizing the 
built in bookstore at http://books.shovelbums.org/ 
and  http://rarebooks.shovelbums.org/ . Both of these are fine resources in 
conjunction with Barnes and Noble  This site was originally affiliated with 
Amazon.com until it was pointed out that they also support auctions that 
sell artifacts of questionable provenience.   While the potential resources 
as an affiliate of Amazon were greater than  I felt ethically,  not 
affiliating with them was the best course.

All comments I have received from employers that have used this service to 
date have noted a very positive application response from their postings.

Best Regards,

R. Joe Brandon
rjoe@shovlebums.org


Contents

Contributors xi
Preface
R. Joe Brandon xiii
Acknowledgments
Konnie L. Wescott and R. Joe Brandon xv

1 Introduction 1
Konnie L. Wescott

2 A Predictive Model of Archaeological Site Location in the
Eastern Prairie Peninsula 5
Robert E. Warren and David L. Asch
2.1 Introduction 5
2.2 Predictive modeling 6
2.3 Materials and methods 9
2.4 Results 16
2.5 Discussion and conclusions 25

3 The Application of GIS Predictive Site Location Models
within Pennsylvania and West Virginia 33
Richard B. Duncan and Kristen A. Beckman
3.1 Introduction 33
3.2 Background 34
3.3 Predictive model development 34
3.4 Additional GIS Predictive Models 48
3.5 Discussion 55
3.6 Conclusions 56

4 Using a GIS to Model Prehistoric Site Distributions in the
Upper Chesapeake Bay 59
Konnie L. Wescott and James A. Kuiper
4.1 Introduction 59
4.2 Aberdeen proving ground 60
4.3 The model 60
4.4 Results 67

5 Protecting Cultural Resources through Forest Management
Planning in Ontario Using Archaeological Predictive Modeling 73
Luke Dalla Bona
5.1 Introduction 73
5.2 Background 74
5.3 Modeling methodology 75
5.4 Model research and development 77
5.5 Pilot projects 78
5.6 Oil and water can mix! Integrating archaeology into forest
management planning 94
5.7 Summary 97

6 Considerations of Scale in Modeling Settlement Patterns
Using GIS: An Iroquois Example 101
Kathleen M. Sydoriak Allen
6.1 Introduction 101
6.2 Spatial scale and kinds of problems 102
6.3 Global, regional, and local views of the Iroquoian world 103
6.4 GIS and spatial scale: global, regional, and local views 105
6.5 Central New York region: regional and local 108
6.6 Conclusions 110

7 Construction of Digital Elevation Models for Archaeological
Applications 113
Jon B. Hageman and David A. Bennett
7.1 Introduction 113
7.2 Why should the archaeologist care about interpolation? 114
7.3 What is interpolation? 115
7.4 Selecting an interpolation algorithm 117
7.5 A Belizean case study 118
7.6 Conclusion 124

8 The State of the Art in "Inductive" Predictive Modeling:
Seven Big Mistakes (and Lots of Smaller Ones) 129
James I. Ebert
8.1 Introduction 129
8.2 GIS is revolutionizing predictive modeling 129
8.3 Predictive modeling predicts and models the past 130
8.4 What we want to predict is site location 130
8.5 Proximity to environmental variables is important 131
8.6 Maps contain environmental variables 132
8.7 Map data is inaccurate 132
8.8 The accuracy of inductive predictive models can be
determined 133

9 GIS Applications in Archaeology: Method in Search of Theory 135
Tim Church, R. Joe Brandon, and Galen R. Burgett
9.1 Current use of GIS in archaeology 135
9.2 Correlative predictive models 136
9.3 The resource landscape 142
9.4 An alternative: explanatory models from a landscape
perspective 146
9.5 Tools to tackle landscapes 147
9.6 The temporal dimension 147
9.7 Scale and grain 148
9.8 The role of climate 148
9.9 Geomorphological processes and their impact 148
9.10 Summary 149
9.11 Concluding remarks 150
Index 156


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