Quantitative analysis of the joint variability of rock texture and composition in thin section: The Generalized Griffiths Descriptor and its application to sediment generation from granitoids-Reference-Cited by-同舟云学术

Quantitative analysis of the joint variability of rock texture and composition in thin section: The Generalized Griffiths Descriptor and its application to sediment generation from granitoids

Published:2020-06 Issue: Volume:205 Page:103188
ISSN:0012-8252
Container-title:Earth-Science Reviews
language:en
Short-container-title:Earth-Science Reviews

Author:

Paredis Bram,Weltje Gert Jan,Heins William A.

Funder

KU Leuven

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference96 articles.

1. The statistical analysis of compositional data (with discussion);Aitchison;Journal of the Royal Statistical Society Series B,1982

2. The Statistical Analysis of Compositional Data;Aitchison,1986

3. Biplots of compositional data;Aitchison;Applied Statistics Series C,2002

4. Sediment Routing Systems: the Fate of Sediment from Source to Sink;Allen,2017

5. Power law olivine crystal size distributions in lithospheric mantle xenoliths;Armienti;Lithos,2002

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating Rock Composition from Replicate Geochemical Analyses: Theory and Application to Magmatic Rocks of the GeoPT Database;Mathematical Geosciences;2024-04-08

2. The pore structures of different lithofacies in low-permeability sandy conglomerate reservoirs and their diagenetic impacts: A case study from the Es4 member of the northern steep slope in Dongying Depression, Bohai Bay Basin, NE China;Marine and Petroleum Geology;2022-02

3. Review on Pore Structure Characterization and Microscopic Flow Mechanism of CO 2 Flooding in Porous Media;Energy Technology;2020-11-24

4. Geostatistical modelling of compositional variability across granitoid complexes: Its relevance to petrogenetic interpretations and specification of parent-rock properties in sediment-generation models;Earth-Science Reviews;2020-09