Their interpolated radio map was then used for localization with the k-nearest-neighbor (k-NN) technique [15] and the Inverse Distance Weighting (IDW) method of [21].

However, the study variables showed no spatial dependence or it was very weak (nugget effect value close to sill value), thus, only deterministic interpolation techniques were performed which were: Inverse distance weighting (IDW), Radial basis functions (RBF) and Local Polynomial interpolation (LPI).

Topics reviewed include the interpolation techniques of inverse distance weighting and kriging, midpoint displacement, pattern analysis with indices such as Moran's I, network analysis and shortest paths, and spatial optimization by exact and heuristic methods.

They used an "inverse distance weighting" method in which they determined the density of natural gas wells within a 10-mile radius of each mother's home at the time she gave birth, with greater weighting for wells nearer the home.

The Inverse Distance Weighting (IDW) algorithm is one of the most commonly used spatial interpolation methods in Geosciences mainly due to its straightforward implementation.

(2009) compared different methods for modeling groundwater level changes in 48 piezometric wells from 1981 to 2003 in China by using inverse distance weighting (IDW), radial basis function (RBF) and three kriging variants (the OK, simple kriging (SK) and universal kriging (UK) variants).