Spatial autoregressive function-on-function regression is estimated by projecting response and predictor curves onto functional principal components, then applying multivariate spatial autoregressive least squares.
(1995), ‘Local indicators of spatial association–LISA’, Geographical Analysis 27(2), 93–115
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.ME 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Spatial function-on-function regression
Spatial autoregressive function-on-function regression is estimated by projecting response and predictor curves onto functional principal components, then applying multivariate spatial autoregressive least squares.