geostatistics
There are 138 repositories under geostatistics topic.
softwareunderground/awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
GeoStat-Framework/PyKrige
Kriging Toolkit for Python
GeoStat-Framework/GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
JuliaEarth/GeoStats.jl
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
GeostatsGuy/GeostatsPy
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
mmaelicke/scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
polatory/polatory
Fast radial basis function interpolation for large scale data
GlacioHack/xdem
Analysis of digital elevation models (DEMs)
GeostatsGuy/ExcelNumericalDemos
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
whimian/pyGeoStatistics
Geostatistics in Python
JuliaEarth/geospatial-data-science-with-julia
Geospatial Data Science with Julia
GeostatisticsLessons/GeostatisticsLessonsNotebooks
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
JuliaEarth/GeoStatsTutorials
GeoStats.jl tutorials
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"
robinthibaut/pysgems
Use SGeMS (Stanford Geostatistical Modeling Software) within Python.
GAIA-UNIL/G2S
A flexible MPS framework
JuliaEarth/ImageQuilting.jl
Fast image quilting simulation solver for the GeoStats.jl framework
randlab/ArchPy
ArchPy - Stochastic geological modeling
PauloCarvalhoRJ/gammaray
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
stk-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.
ecrc/exageostat
A High Performance Unified Framework for Geostatistics on Manycore Systems.
GeostatsGuy/geostatsr
Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.
italo-goncalves/geomod3D
Implicit 3D geological modeling and geostatistics
JuliaEarth/GeoStatsBase.jl
Base package for the GeoStats.jl framework
JuliaEarth/TuringPatterns.jl
Turing patterns simulation solver for the GeoStats.jl framework
JuliaEarth/GeoStatsImages.jl
Training images for geostastical simulation
peterson-tim-j/HydroMap
Mapping of groundwater level for realistic flow flowpaths using semi-automated kriging.
Rafnuss-PhD/SGS
Sequential Gaussian Simulation for generating Gaussian fields.
rhugonnet/dem_error_study
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
ApirsAL/GeoReVi
Geological Reservoir Virtualization
juifa-tsai/pyInterpolate
Spatial interpolation python package
juliohm/GeoClustering.jl
Geostatistical clustering methods for the GeoStats.jl framework
obrl-soil/dsmartr
An R implementation of the DSMART algorithm
Rafnuss-PhD/A2PK
Generate stocastic Gaussian realization constrained to a coarse scale image.
yohanesnuwara/geostatistics
Multiple experiments on geo-datasets