Geospatial Data Science with Julia
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Updated
Jun 12, 2024 - TeX
Geospatial Data Science with Julia
Analysis of digital elevation models (DEMs)
An uncondition random field generation tools that are easy to use
A flexible MPS framework
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Utilities to read/write extended GSLIB files in Julia
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
vtk grid data krigging using pykrige
Kriging Toolkit for Python
A High Performance Unified Framework for Geostatistics on Manycore Systems.
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
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