Everything in Its Place: Efficient Geostatistical Analysis With SAS/STAT Spatial Procedures
Source: SAS Institute
Got coordinates in the data? Feeling lost in space? Spatial data arise in a wealth of scientific fields; their stochastic structure poses unique analytical challenges that are different from most modeling and prediction methodologies. SAS/STAT 9.22 introduces exciting updates to the SAS suite of spatial procedures to augment, simplify, and streamline spatial analysis in one and two dimensions. All spatial procedures offer a wider variety of correlation models than before. Automated semivariogram modeling in the VARIOGRAM procedure reduces the time and effort required to select a suitable correlation structure. Item stores enable a person to pass the semivariance information seamlessly to the KRIGE2D procedure for prediction or to the SIM2D procedure for simulation.