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Greg Cocks @GregCocks@techhub.social

GSPy - A New Toolbox And Data Standard For Geophysical Datasets
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https://doi.org/10.3389/feart.2022.907614 <-- shared paper
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https://doi.org/10.5066/P9XNQVGQ | https://code.usgs.gov/g3sc/gspy <-- shared code repository
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[an older paper, but code is in active and ongoing development/evolution]
#GIS #spatial #mapping #geophysics #geophysical #NetCDF #datatypes #code #opensource #library #dataformats #standardisation #standardization #openstandard #portable #metadata #Python #package #GSPy #methods #workflows #xarray #CRS #opendata #architecture #toolbox

Conceptual diagram of GSPy workflow. Data from a variety of formats and types are read into GSPy, along with required metadata files. Through the GSPy software, data are converted into a standardized NetCDF file containing the dataset and metadata appropriate for archiving and sharing.

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GS data convention. (A) Datasets are structured into three fundamental group types based on content and data geometry. The Survey group contains general metadata about the dataset. Unstructured datasets, such as from CSV or TXT files, form Tabular groups, whereas structured (gridded) datasets are categorized under the Raster group. Metadata is attached to all groups, with various required attributes (green text) that expands on the CF-1.8 convention. (B) Groups follow a strict hierarchy in the NetCDF file, with a single Survey group at the top to which all data groups are attached. Datasets are indexed within their respective group type. (C) Tabular and Raster data groups must contain clearly defined dimensions, such as index or x, y, z, as well as coordinate variables. Raster groups are distinct in that dimensions are also coordinates, whereas Tabular datasets are assigned spatial coordinates that align with the index dimension. Lastly, the coordinate variable “spatial_ref” is required for all data groups, which expands on the “coordinate_information” variable required in the Survey metadata.

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photo - rigs preparing to do a seismic survey, Middle East

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GSPy code base - Writing and plotting examples. Once all groups have been attached to a Survey, the “write_netcdf” and “write_ncml” methods will write the GS NetCDF and NcML files, respectively. GSPy also provides methods to generate scatter and pcolor plots for variables.

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