Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
-
Updated
Aug 16, 2024
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Kriging Toolkit for Python
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
Geostatistical variogram estimation expansion in the scipy style
Fast radial basis function interpolation for large scale data
Analysis of digital elevation models (DEMs)
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
Geostatistics in Python
Geospatial Data Science with Julia
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"
Use SGeMS (Stanford Geostatistical Modeling Software) within Python.
A flexible MPS framework
ArchPy - Stochastic geological modeling
Fast image quilting simulation solver for the GeoStats.jl framework
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Add a description, image, and links to the geostatistics topic page so that developers can more easily learn about it.
To associate your repository with the geostatistics topic, visit your repo's landing page and select "manage topics."