Network Analysis of Virginia’s Mineralogical Systems

The principal objective of this study was to use network analysis to identify spatial, geomorphic, physical, and chemical patterns in Virginia’s mineralogical systems. Mineralogical and locality data from mindat.org were visualized as a bipartite force- directed network of the minerals and the counties of Virginia in which they occur. Mineral nodes were sized to represent the number of counties the minerals are found in (i.e., frequency of occurrence) and county nodes were sized to represent the number of minerals found in that county (i.e., mineral diversity). Furthermore, the nodes were colored to display selected attributes of the mineral-county data. County nodes were colored by their geomorphic regions of Virginia (i.e., Blue Ridge, Piedmont, Coastal Plain, Appalachian Plateau, and Valley and Ridge), whereas mineral nodes were represented with many attributes, including Mohs hardness, carbon content, crystal structure, and mineral classification. This method of data visualization revealed several patterns, including the abundance of softer and carbon-bearing minerals near the Valley and Ridge counties, the abundance of silicate minerals near the Piedmont and Coastal Plain counties, and the related distribution of gold, silver, and copper.

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Publication Details

Journal
ODU Digital Commons (Old Dominion University)
Published
2025-05-02
DOI
https://doi.org/10.25778/ajzd-qp38
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Network Analysis of Virginia’s Mineralogical Systems

C L BOUCHER
ODU Digital Commons (Old Dominion University)
Geochemistry and Geologic Mapping
article

Network Analysis of Virginia’s Mineralogical Systems

C L BOUCHER
article en

Abstract

The principal objective of this study was to use network analysis to identify spatial, geomorphic, physical, and chemical patterns in Virginia’s mineralogical systems. Mineralogical and locality data from mindat.org were visualized as a bipartite force- directed network of the minerals and the counties of Virginia in which they occur. Mineral nodes were sized to represent the number of counties the minerals are found in (i.e., frequency of occurrence) and county nodes were sized to represent the number of minerals found in that county (i.e., mineral diversity). Furthermore, the nodes were colored to display selected attributes of the mineral-county data. County nodes were colored by their geomorphic regions of Virginia (i.e., Blue Ridge, Piedmont, Coastal Plain, Appalachian Plateau, and Valley and Ridge), whereas mineral nodes were represented with many attributes, including Mohs hardness, carbon content, crystal structure, and mineral classification. This method of data visualization revealed several patterns, including the abundance of softer and carbon-bearing minerals near the Valley and Ridge counties, the abundance of silicate minerals near the Piedmont and Coastal Plain counties, and the related distribution of gold, silver, and copper.

ODU Digital Commons (Old Dominion University)Vol. 2018
Carnegie Institution for Science (US)
Climate action
Openalex Percentile: Top 100%
Geochemistry and Geologic Mapping
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Network Analysis of Virginia’s Mineralogical Systems — C L BOUCHER · ODU Digital Commons (Old Dominion University) (2025) | TGRS Research Map | TGRS