This paper proposes a spatial multivariate CUSUM control chart in order to monitor the mean of a single characteristic of a product or process, when the measurements are taken in different locations on each sampled item. To estimate the variance and covariance matrix some tools from the geostatistics are used, taking into account the spatial correlation between the measurements. The performance of this control chart is explored by simulation and its use is illustrated with an example.