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Unpacking Spatial Dependence: A New Experimental Design for Spatial Autoregressive Simulation

2026-01-28

Abstract excerpt

<title>Abstract</title> <p>Simulating spatial patterns with varying levels of spatial autocorrelation is essential for evaluating models, estimators, and diagnostics. The spatial autoregressive (SAR) process is widely used for this purpose, but its main parameter affects both spatial autocorrelation and spatial heterogeneity. Only the former is usually acknowledged. Unfortunately, these unintended variance effect...

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Literature Corpus work
4beae6cc-ce73-589f-ae06-2351b51edc4f
DOI
10.21203/rs.3.rs-8585449/v1
Open publication

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Unpacking Spatial Dependence: A New Experimental Design for Spatial Autoregressive SimulationDOI 10.21203/rs.3.rs-8585449/v1
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