A geophysical study using spatial error as inversion constraints
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https://researchdata.edu.au/a-geophysical-study-inversion-constraints/3653017
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The repository contains the gravity measurements as supplied by Geoscience Australia (Geoscience Australia, 2020), the grids calculated using INLA and the collection of models and misfit calculated using Tomofast-x. File formats are: gravity measurement – shapefile; grids - ERMapper.ers format; 3D inversion models – Visualisation toolkit .vtk format; misfit values – .csv format with x,y,z,property.\n\nThis repository is a companion to a paper submitted to Solid Earth (link)\nLineage: There are three data forms.\n1) Measurements of gravitational acceleration used in the study and obtained from Geoscience Australia (Geophysical Acquisition & Processing Section 2020. National Gravity Compilation 2019 (CSCBA). https://pid.geoscience.gov.au/dataset/ga/144786.)\n\n2) Grids produced by the R library INLA (Rue H, Martino S, Chopin N. Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations. J R Stat Soc Ser B Stat Methodol 2009;71:319–92. https://doi.org/10.1111/J.1467-9868.2008.00700.X) and https://www.r-inla.org/\n\nInversion results produced using Tomofast-x (https://github.com/TOMOFAST/Tomofast-x), including 3D models and misfit assessments.
提供机构:
Commonwealth Scientific and Industrial Research Organisation



