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Repo for code and documentation for 2019 SAA meeting paper entitled: Estimating the Effect of Endogenous Spatial Dependency with a Hierarchical Bayesian ICAR Model on Archaeological Site Location Data

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SAA 2019 - Bayesian Hierarchical ICAR Model

April 11th, 2019 @ Albuquerque, NM

2019/04/14 - Post confernece note:

Thank you for visiting this repo/poster. The code is in the process of reorganization and a little tidying. The poster is in the poster folder. I will issue a DOI and do a github release when the code is relatively acceptable. Please let me know if you have any questions. Thanks!

Session:

Novel Statistical Techniques in Archaeology II (QUANTARCH II) (Sponsored by SAA QUANTARCH Interest Group)

Title:

Estimating the Effect of Endogenous Spatial Dependency with a Hierarchical Bayesian ICAR Model on Archaeological Site Location Data

Authors:

Matthew Harris & Mary Lennon

Abstract:

This research presents a method to test the endogenous spatial correlation effect when modeling the landscape sensitivity for archaeological sites. The effects of endogenous spatial correlation are inferred using a Hierarchical Bayesian model with a Intrinsic Conditional Auto-Regressive (ICAR) component to better understand the importance of modeling spatial cultural process. In current practice, effects of endogenous spatial autocorrelation are rarely explicitly incorporated into quantitative archaeological predictive models. This is due in part to the difficulties of measuring how cultural process relate across space and time, as well as accepting the assumption that geographically near sites are implicitly more related than distant sites. Typically these difficulties are side-stepped by including aspects of cultural processes as features and ignoring endogenous spatial correlation by assuming sites are spatially independent phenomena. While there are benefits to this approach, aside from convenience, the validity of either of these assumptions has not previously been tested. The approach developed here leads to better understanding the penalty for assuming spatial independence and the development of methods to model spatial cultural process.

Graphical Abstract:

Image


TO DO:

Research

☑️ - read sources below

Data Prep.

☑️ - create simulated environments

☑️ - create simulated sites

☑️ - create fishnet grid (octagonal fishnet)

☑️ - calculate target (as count)

☑️ - Framework of probabilistic model

☑️ - gather data from real-world test case

Code

☑️ - simulations

☑️ - Stan model

☑️ - evlaution of simulations

☑️ - test on real data

Writing

☑️ - poster text

Poster/Graphics

☑️ - plots

☑️ - layout/design

☑️ - printing

Resources:

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Repo for code and documentation for 2019 SAA meeting paper entitled: Estimating the Effect of Endogenous Spatial Dependency with a Hierarchical Bayesian ICAR Model on Archaeological Site Location Data

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