Inverse distance weighted (IDW) interpolation determines cell values using a linearly weighted combination of a set of sample points. The weight is a function of. INVERSE DISTANCE WEIGHTING BY, K. P. VINEETH K. SRI TEJA D. RAGHUVEER. Distance Weighting (IDW) is one of the interpolation techniques . such as Geographic Information Systems (GIS), remote sensing and. Inverse Distance Weighting (IDW) interpolation estimates unknown values with specifying search distance, closest points, power setting. How Inverse Distance Weighted (IDW) interpolation works. Release Last modified August 7, , E-mail This Topic Printable Version Give Us Feedback. Inverse distance weighted interpolation is best suited for phenomena that have a lot of Click the point layer in the ArcMap table of contents that contains the. Available with Geostatistical Analyst license. Inverse distance weighted (IDW) interpolation explicitly makes the assumption that things that are close to one. Inverse Distance Weighted (IDW) is a method of interpolation that estimates cell values by averaging the values of sample data points in the.