Improving the selection of appropriate spatial interpolation methods

Autor:	Andrej Vckovski, Felix Bucher
Rok vydání:	1995
Předmět:	Exploratory data analysis Nearest-neighbor interpolation Discretization Computer science Kriging Data mining computer.software_genre Spatial analysis computer Field (geography) Interpolation Multivariate interpolation
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540603924 COSIT
DOI:	10.1007/3-540-60392-1_23
Popis:	In many natural sciences as well as in spatial data processing data describing continuous fields are a major information type. One of the main challenges when using such field representations in analysis and modelling arises from restrictions caused by the discretization that occurs when sampling the field. As a consequence, interpolation is often required before using the data in a particular application. In this paper the family of kriging methods is used as an example to illustrate the decision-making process when selecting appropriate interpolation methods. The analysis of the properties of various kriging methods shows that the decision-making process should be based on a considerable body of information, including implicit and external knowledge, i.e., information not related and derivable from the data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::24feb4395e607c2afe4c5bd8a8ec1f35 https://doi.org/10.1007/3-540-60392-1_23 Zobrazit plný text záznamu