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Areal parameter estimates from multiple datasets.


ABSTRACT: A wide range of methods exist for interpolation between spatially distributed points drawn from a single population. Yet often multiple datasets are available with differing distribution, character and reliability. A simple scheme is introduced to allow the fusion of multiple datasets. Each dataset is assigned an a priori spatial influence zone around each point and a relative weight based on its physical character. The composite result at a specific location is a weighted combination of the spatial terms for all the available data points that make a significant contribution. The combination of multiple datasets is illustrated with the construction of a unified Moho surface in part of southern Australia from results exploiting a variety of different styles of analysis.

SUBMITTER: Kennett BLN 

PROVIDER: S-EPMC6894539 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Areal parameter estimates from multiple datasets.

Kennett B L N BLN  

Proceedings. Mathematical, physical, and engineering sciences 20191106 2231


A wide range of methods exist for interpolation between spatially distributed points drawn from a single population. Yet often multiple datasets are available with differing distribution, character and reliability. A simple scheme is introduced to allow the fusion of multiple datasets. Each dataset is assigned an <i>a priori</i> spatial influence zone around each point and a relative weight based on its physical character. The composite result at a specific location is a weighted combination of  ...[more]

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