Interpolation of Spatial Data

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.

• Publication year

  2018

• Venue

  Biomedical Journal of Scientific & Technical Research

• Publication date

  2018-09-17

• Fields of study

  Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.26717/BJSTR.2018.09.001746
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Interpolation of spatial data

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