[ANN] GeoStats.jl - Geospatial Data Science and Geostatistical Modeling in Julia

Quick announcements:

  • GeoStats.jl v0.82 is out with full support for PrettyTables.jl v3.
  • New tutorial by Olav Moyner with GeoStats.jl + JutulDarcy.jl for petroleum reservoir simulation: Quarter-five-spot example | JutulDarcy.jl
  • New tutorials by Marcos da Silva coming up soon in the context of agriculture and forestry:

We are starting a new research project in O&G that will give us the opportunity to work on exciting new features. Stay tuned.

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Quick updates:

  • ZScore and StdFeats now support missing values
  • GHC clustering now accepts multiple k to cut the tree
  • NN now picks the nearest non-missing value
  • isconvex now implemented for Hexahedron
  • EPSG{29902} added for Ireland region
  • New ccdf for Ensemble of realizations
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GeoStats.jl v0.83

We are actively working on an improved interface for geostatistical learning. The Learn transform has been refactored to handle labeled geotables produced with the new label function:

The columns of the geospatial table are now colored according to their role in geostatistical modeling. Predictor variables are colored in sage, target variables are colored in red, and the geometry column is colored in teal.

More updates

  • DropLocalLowHigh is a new transform that drops local extremes with a moving neighborhood. It can be useful to remove data acquisition artifacts in various applications.
  • All EPSG and ESRI codes for UTM coordinates have been mapped to our native CRS types with WGS84 and SIRGAS2000 datum. That should cover a lot of datasets in industry.
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