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Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Created
2017-10-18
536 commits to main branch, last one 2 months ago
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Created
2017-10-13
607 commits to master branch, last one about a month ago
Kriging Toolkit for Python
Created
2014-10-01
327 commits to main branch, last one 8 months ago
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Created
2018-01-15
1,981 commits to main branch, last one 8 days ago
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Created
2015-04-12
219 commits to master branch, last one 7 hours ago
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...
Created
2018-06-29
234 commits to master branch, last one 3 months ago
Geostatistical variogram estimation expansion in the scipy style
Created
2017-07-31
984 commits to main branch, last one 15 days ago
Fast radial basis function interpolation and kriging for large scale data
Created
2017-05-29
632 commits to main branch, last one 28 days ago
Analysis of digital elevation models (DEMs)
Created
2020-11-11
663 commits to main branch, last one 4 days ago
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. M...
Created
2017-09-17
102 commits to master branch, last one 7 months ago
Geospatial Data Science with Julia
Created
2023-08-10
352 commits to main branch, last one 7 days ago
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
Created
2018-02-10
24 commits to master branch, last one about a month ago
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 p...
Created
2022-07-25
22 commits to main branch, last one 11 months ago
GeoStats.jl tutorials
Created
2018-12-02
100 commits to master branch, last one 2 years ago
Use SGeMS (Stanford Geostatistical Modeling Software) within Python.
Created
2020-05-06
292 commits to main branch, last one about a year ago
ArchPy - Stochastic geological modeling
Created
2022-05-09
122 commits to main branch, last one 26 days ago
The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, a...
Created
2020-03-26
1,617 commits to master branch, last one 3 months ago