2012Unpublished venueRequires access

Study on spatial interpolation method and its application

Hua Xu, Qiang Wu, Hongzhuan Lei, Shiyong Li

Open publisher page 5 citations

Abstract

Spatial interpolation is important and fundamental to graphing, analysing and understanding of spatial data. In this paper, we introduce some spatial interpolation methods which are suited to 3D geological modeling. We have designed the framework of interpolation algorithm, and encapsulate API to GeoSIS system which provides an interface for easily accessing various interpolations. By calling API, the interpolated values can be calculated out based on the given samples, and then triangle irregular network surfaces can be constructed and visualized in 3D. The results of application show that the methods designed can to produce smooth surfaces which pass through all or most of the given samples and minimize error.

About this research paper

What this paper is about

Spatial interpolation is important and fundamental to graphing, analysing and understanding of spatial data. In this paper, we introduce some spatial interpolation methods which are suited to 3D geological modeling. We have designed the framework of interpolation algorithm, and encapsulate API to GeoSIS system which provides an interface for easily accessing various interpolations. By calling API, the interpolated values can be calculated out based on the given samples, and then triangle irregular network surfaces can be constructed and visualized in 3D. The results of application show that the methods designed can to produce smooth surfaces which pass through all or most of the given samples and minimize error.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Spatial interpolation is important and fundamental to graphing, analysing and understanding of spatial data. In this paper, we introduce some spatial interpolation methods which are suited to 3D geological modeling. We have designed the framework of interpolation algorithm, and encapsulate API to GeoSIS system which provides an interface for easily accessing various interpolations. By calling API, the interpolated values can be calculated out based on the given samples, and then triangle irregular network surfaces can be constructed and visualized in 3D. The results of application show that the methods designed can to produce smooth surfaces which pass through all or most of the given samples and minimize error.

Key concepts: Interpolation (computer graphics), Multivariate interpolation, Computer science, Nearest-neighbor interpolation, Stairstep interpolation, Trilinear interpolation, Interface (matter), Algorithm

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