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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
504 commits to main branch, last one 29 days ago
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Created
2017-10-13
549 commits to master branch, last one 2 months ago
Kriging Toolkit for Python
Created
2014-10-01
327 commits to main branch, last one 4 days ago
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Created
2018-01-15
1,828 commits to main branch, last one 12 days ago
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Created
2015-04-12
119 commits to master branch, last one 2 days ago
GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python pack...
Created
2018-06-29
164 commits to master branch, last one 2 years ago
Geostatistical variogram estimation expansion in the scipy style
Created
2017-07-31
960 commits to main branch, last one 4 months ago
Fast radial basis function interpolation for large scale data
Created
2017-05-29
510 commits to main branch, last one about a month ago
Analysis of digital elevation models (DEMs)
Created
2020-11-11
617 commits to main branch, last one 8 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
89 commits to master branch, last one 12 months ago
Geospatial Data Science with Julia
Created
2023-08-10
323 commits to main branch, last one a day ago
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
Created
2018-02-10
17 commits to master branch, last one 17 days ago
GeoStats.jl tutorials
Created
2018-12-02
100 commits to master branch, last one about a year 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 2 months 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
60 commits to main branch, last one about a month ago