Electromagnetic Array Profiling (EMAP) is an ad- aptation of magnetotellurics to overcome spatial alias- ing effects associated with the sampling of the surface electric field. Undersampling lateral electric field vari- ations can result in misleading geoelectric interpreta- tions of the subsurface, particularly under the common presence of static distortion. In the EMAP field pro- cedure, electric dipoles are positioned end-to-end along a continuous survey path; this configuration, in addition to reducing aliasing effects, lends itself to low-pass filtering of the lateral electric field varia- tions. We show that lengthening an electric dipole can reduce the static effect due to confined resistivity anomalies smaller than a dipole length. This modifica- tion of the sensor characteristics involves a spatial filtering process in which the cutoff wavenumber is inversely proportional to the length of the dipole. However, excessively long dipoles may not prove appropriate at high frequencies where the objective is to sense geoelectric features smaller than a dipole length. Thus, an array of adjacent dipoles along the survey path allows us to control the characteristics of the low-pass filter employed to reduce static effects. A standard dipole length should be comparable with the shallowest depth of penetration at the highest fre- quency. The survey path, on the other hand, should be long enough to allow the suppression of static effects due to geoelectric structure of size comparable to the depth of penetration at the lowest frequency. Previously, we showed that a profile of the subsur- face resistivity distribution can be estimated by invert- ing the inductive part of the surface electric field response derived from spatial filtering. For this pur- pose. the suggested wavenumber filter is one for which the cutoff wavenumber decreases with decreasing val- ues of frequency, just in the same way the subsurface resistivity distribution is naturally averaged at depth to produce its inductive surface electric field response. Hence, the EMAP field procedure for the measure- ment of lateral electric field variations is suitable for an inversion of this type. We introduce a data-adaptive spatial filtering technique that responds to changes in local average resistivity at a given frequency to esti- mate both effective depth of response and resistivity along the survey path. Application of this filtering procedure shows encouraging results in the interpre- tation of data simulated numerically from two-dimen- sional models possessing different degrees of struc- tural complexity. We also present results from a field study carried out in the northern basin and range geological province of Nevada.