Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
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Updated
Jun 28, 2024
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
A flexible MPS framework
Geostatistical variogram estimation expansion in the scipy style
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Geospatial Data Science with Julia
GSLIB executables for windows and linux (x64)
Analysis of digital elevation models (DEMs)
Utilities to read/write extended GSLIB files in Julia
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
An uncondition random field generation tools that are easy to use
Fast image quilting simulation solver for the GeoStats.jl framework
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Set of tools to manipulate Digital Elevation Models (DEMs)
multiple simple tools related to vtk files and data
npsp: Nonparametric Spatial Statistics
Turing patterns simulation solver for the GeoStats.jl framework
geostat process using python, vtk, jupyter and your choice of interpolation engine
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