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Predicting	
  modeling	
  for	
  archeological	
  sites	
  location:	
  
comparing	
  logistic	
  regression	
  and	
  Maxent	
  in	
  north	
  Israel	
  
and	
  North-­‐East	
  China	
  
	
  
Ido Wachtel, Royi Zidon, Shimon Garti
Hebrew University of Jerusalem, idowachtel@gmail.com
In this study we analyze the distribution of archaeological sites, using a new method of maximal
entropy (Maxent). Given the environmental parameters, the model predicts the probability of sites
existence. Such models are important tool for preservation of archaeological sites as they can help
planners avoid areas where site are likely to exist. The models are also used for research purposes,
as an analytic tool to better explain settlement patterns and past human behavior.
The model produces probabilistic values, which can be introduced graphically as a colored maps
or a binary map. We found that the results of the Maxent are much better than the common
prediction model based on logistic regression.
In the present work, we examine the Maxent models with respect to data collected from two
independent areas: The Upper Galilee, Israel and the Fuxin area in northeast China. The model
based on a high-resolution systematical survey of those regions together with high quality satellite
images.
We also compared Maxent models with Logistic regression models for both study areas (Fuxin in
China and Upper Galilee in Israel). The models apply to the same data sets, and it seems that the
Maxent maps give better results, according to several characteristics which are used in the
literature.
	
  
	
  
	
  
	
  
DIGITAL ARCHAEOLOGY:
DATA ACQUISITION METHODS AND PRACTICES
Session organizer: Sveta Matskevich (University of Haifa)
Chair: Avshalom Karasik (Israel Antiquities Authority)
	
  
	
  

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B2 wachtel zidongarti_archaeology_2016-abstract

  • 1. Predicting  modeling  for  archeological  sites  location:   comparing  logistic  regression  and  Maxent  in  north  Israel   and  North-­‐East  China     Ido Wachtel, Royi Zidon, Shimon Garti Hebrew University of Jerusalem, idowachtel@gmail.com In this study we analyze the distribution of archaeological sites, using a new method of maximal entropy (Maxent). Given the environmental parameters, the model predicts the probability of sites existence. Such models are important tool for preservation of archaeological sites as they can help planners avoid areas where site are likely to exist. The models are also used for research purposes, as an analytic tool to better explain settlement patterns and past human behavior. The model produces probabilistic values, which can be introduced graphically as a colored maps or a binary map. We found that the results of the Maxent are much better than the common prediction model based on logistic regression. In the present work, we examine the Maxent models with respect to data collected from two independent areas: The Upper Galilee, Israel and the Fuxin area in northeast China. The model based on a high-resolution systematical survey of those regions together with high quality satellite images. We also compared Maxent models with Logistic regression models for both study areas (Fuxin in China and Upper Galilee in Israel). The models apply to the same data sets, and it seems that the Maxent maps give better results, according to several characteristics which are used in the literature.        
  • 2. DIGITAL ARCHAEOLOGY: DATA ACQUISITION METHODS AND PRACTICES Session organizer: Sveta Matskevich (University of Haifa) Chair: Avshalom Karasik (Israel Antiquities Authority)