Review ArticleOpen Access

Interpolation of Spatial Data

Volume 9 - Issue 1

Rae Zh Aliyev*

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- Institute of Soil Science and Agrochemistry of NAS of Azerbaijan, Azerbaijan
*Corresponding author: Rae Zh Aliyev, Institute of Soil Science and Agrochemistry of NAS of Azerbaijan, Azerbaijan

Received: September 09, 2018; Published: September 17, 2018

DOI: 10.26717/BJSTR.2018.09.001746

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Abstract

In the course of the study, we have disclosed methods for correcting and analyzing spatial data recorded in a vector format. The latter is best suited for spatial analysis of discrete objects. However, in the case when the spatial variable is represented as a field of scalar or vector magnitudes (for example, spatial concentration distribution of concentrations of heavy metals in soils or the velocity field of groundwater movement). Convenient ways of data recording is a raster format. This approach is most often used for phenomena of processes that are characterized by significant anisotropy. However, the characteristic feature of the inverse distance method is the fact that the interpolated value at the measured point is equal to the measured value.

Keywords: Erosion; Soil; Heavy Metals; Extreme; Spatial Data; Raster Data Anti Erosion Measures

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