This paper addresses the introduction and study of properties of spatial autoregressive Hilbertian
processes of order p (SARH(p) in abbreviation). Our studies on these models include model building,
existence, time domain moving average representation, least square parameter estimation and prediction
based on the autoregressive structured past data. Moreover, a simulation study is provided to evaluate
the performances of the estimators.