2004•Unpublished venueRequires access

Application of Spatial Interpolation in GIS

Xuebing Wang, Ling Liu

Abstract

Spatial interpolation includes point interpolation and areal interpolation. The point interpolation is mainly used to deal with natural geography data and the areal interpolation is usually used to solve the interpolation problem of social economic statistic data. However, social economic statistic data are often collected by areas, which cannot represent their real spatial distribution. A spatial distribution model of social economic statistic data is to be established to conform to their real spatial distribution. Using the areal weighting interpolation and inverse distance weighted averaging, a spatial distribution model of GDP is established in this paper.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Multivariate interpolation, Inverse distance weighting, Interpolation (computer graphics), Bilinear interpolation, Statistic, Weighting, Nearest-neighbor interpolation, Spatial analysis