Metadata Details

Spatial Econometrics -- Model Specification 2 � Spatial Process Models
Contributed by Luc Anselin
version Summer 2002 
status Final 
rights_restrictions yes 
rights_description Copyright of these materials is held by the Regents of the University of California. Permission is granted for limited reproduction of these materials for non-commercial education uses only, providing the source is clearly acknowledged. 
rights_cost no 
resource_type Lecture Materials 
metametadata_contributor_role Creator 
metametadata_contributor_entity David Fearon, fear@umail.ucsb.edu 
metametadata_contributor_date 2002-07-09 
location
http://geog55.gis.uiuc.edu/ace492se/modspec2.html
learning_time 2:00:00 
keywords Economics, spatial econometrics, spatial statistics, spatial model, spatial process models, spatial economics, spatial covariance, Markov chain, spatial autoregressive model, Hammersley-Clifford theorem, spatial dependence 
format application/pdf 
end_user_role Teacher 
description Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 2 Model Specification 2 � Spatial Process Models Specifying Spatial Covariance *direct representation vs spatial process, covariance and correlation structure of AR(1) process in time and in space. Spatial Stochastic Process *Markov property in time and in space, spatial Markov field, Hammersley-Clifford theorem, refresher on multivariate density. SAR, CAR and SMA Models * spatial autoregressive model (SAR), conditional autoregressive mode (CAR), SAR vs CAR, spatial moving average, covariance and correlation structures.  
CSISS_interest_area spatial econometrics,spatial dependence,markov chain 
CSISS_discipline Economics 
contributor_role_1 Author 
contributor_entity_1 Luc Anselin 
contributor_date_1 2002-01-22 
contributor_role_2 Department of Agricultural and Consu 
contributor_entity_2  
contributor_date_2 0000-00-00 
aggregation_level
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