The amount of rainfall that occurs can affect natural disasters and even food production to economic activities. the factor area where rain is one main parameters for how change occurs. So, it necessary have a prediction approach aims find out when what type will occur. Spatial classification interpolation are two methods used make predictions. Random Forest method be predict rainfall. Inverse ...

In this paper, a hybrid inverse distance weighted (IDW) and the imperialist competitive algorithm (ICA) was proposed for grade estimations in mining projects. Indeed, coefficients of IDW equation, power, influence were modified by applying ICA algorithm. For this, an example solved using IDW, ordinary kriging, IDW-ICA. After successfully validating IDW-ICA, iron grades estimated Baba Ali mine, ...

A variation of the reduction-based approach to spatiotemporal interpolation (STI), in which time is treated independently from the spatial dimensions, is proposed in this paper. We reviewed and compared three widely-used spatial interpolation techniques: ordinary kriging, inverse distance weighting and the triangular irregular network. We also proposed a new distribution-based distance weightin...

the purpose of this study is to identify the effect of ordinary kriging (ok) and inverse distance weighted (idw) estimation methods for the delineation of mineralized zones based on subsurface data using concentration–volume (c–v) multifractal modeling in the dardevey iron ore deposit, ne iran. variograms and anisotropic ellipsoid were generated for the fe distribution by the above estimation m...

This study was conducted to compare the performance of three different spatial analysis models: Inverse Distance Weighted (IDW), Ordinary Kriging,­­ and Regularized Spline interpolation technique determine best fit model representing Peak Ground Acceleration (PGA) in West Java Province, Indonesia. The models are commonly used visualization, but have calculation methods. calculations were perfor...

Existing data on COPD prevalence are limited or totally lacking in many regions of Europe. The geographic information system inverse distance weighted (IDW) interpolation technique has proved to be an effective tool in spatial distribution estimation of epidemiological variables, when real data are few and widely separated. Therefore, in order to represent cartographically the prevalence of COP...

An important problem between specialists is the interpolation of the surfaces determined by classics or modern techniques. Choosing the proper technique is practically a rigorous study regarding all the interpolation methods and using that method according to the needs of the project. The determination of the Digital terrain model, the digital surface model from GNSS, LiDAR or classic measureme...

In this paper, we implement and compare the accuracy of ordinary kriging, lognormal ordinary kriging, inverse distance weighting (IDW) and splines for interpolating seasonally stable soil properties (pH, electric conductivity and organic matter) that have been demonstrated to affect yield production. The choice of the exponent value for IDW and splines as well as the number of the closest neigh...