geostatistics
There are 15 repositories under geostatistics topic.
GeostatsGuy / PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Language:Jupyter Notebook 1352softwareunderground / awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
- PyKrige
GeoStat-Framework / PyKrige
Kriging Toolkit for Python
Language:Python 724 - GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Language:Python 513 JuliaEarth / GeoStats.jl
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Language:Julia 491GeostatsPy 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 package. I hope this resources is helpful, Prof. Michael Pyrcz
Language:Jupyter Notebook 451mmaelicke / scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
Language:Jupyter Notebook 212- Language:C++ 149
GlacioHack / xdem
Analysis of digital elevation models (DEMs)
Language:Python 115A 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
whimian / pyGeoStatistics
Geostatistics in Python
Language:Python 88Geospatial Data Science with Julia
Language:TeX 77- Language:Julia 54
GeostatisticsLessons / GeostatisticsLessonsNotebooks
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
Language:Jupyter Notebook 52- Language:C++ 42
leizhang-geo / CNN-LSTM_for_DSM
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"
Language:Python 42Fast image quilting simulation solver for the GeoStats.jl framework
Language:Julia 41- pysgems
robinthibaut / pysgems
Use SGeMS (Stanford Geostatistical Modeling Software) within Python.
Language:Python 41 PauloCarvalhoRJ / gammaray
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in Apr, 11th: Contact analysis.
Language:C++ 37stk-kriging / stk
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, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.
Language:MATLAB 36ecrc / exageostat
A High Performance Unified Framework for Geostatistics on Manycore Systems.
Language:C 33Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.
Language:HTML 32- Language:Jupyter Notebook 30
- Language:Julia 27
italo-goncalves / geomod3D
Implicit 3D geological modeling and geostatistics
Language:R 26Turing patterns simulation solver for the GeoStats.jl framework
Language:Julia 26Training images for geostastical simulation
Language:Julia 15peterson-tim-j / HydroMap
Mapping of groundwater level for realistic flow flowpaths using semi-automated kriging.
Language:R 15Rafnuss-PhD / SGS
Sequential Gaussian Simulation for generating Gaussian fields.
Language:HTML 14- Language:C# 13
rhugonnet / dem_error_study
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
Language:Python 13- Language:Python 12
juliohm / GeoClustering.jl
Geostatistical clustering methods for the GeoStats.jl framework
Language:Julia 12- Language:R 12
madsjulia / Kriging.jl
Gaussian process regression
Language:Julia 11yohanesnuwara / geostatistics
Multiple experiments on geo-datasets
Language:Lasso 11
