Geospatial Data Science with Julia
-
Updated
Nov 4, 2024 - TeX
#
geostatistics
Here are 142 public repositories matching this topic...
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
-
Updated
Nov 4, 2024 - Julia
Local anisotropies and nonstationary spatial processes for the GeoStats.jl framework
-
Updated
Nov 3, 2024 - Julia
ArchPy - Stochastic geological modeling
-
Updated
Nov 3, 2024 - Jupyter Notebook
Analysis of digital elevation models (DEMs)
python
gis
digital-elevation-model
uncertainty-quantification
dem
geostatistics
variogram
error-analysis
coregistration
surface-elevation-data
terrain-analysis
-
Updated
Nov 1, 2024 - Python
Utilities to read/write extended GSLIB files in Julia
-
Updated
Nov 1, 2024 - Julia
中国地质大学（武汉）地理信息工程学院开设的一门选修课。An optional curriculum held by School of GI Engineering, CUG
machine-learning
geospatial
gis
regression
spatial-analysis
geographical-information-system
geostatistics
unsupervised-clustering
supervised-classification
unsupervised-classification
numerical-prediction
-
Updated
Nov 1, 2024 - Mathematica
An introductory course to the INLA-software
-
Updated
Oct 30, 2024 - HTML
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.
machine-learning
gaussian-processes
geostatistics
kriging
gaussian-process-regression
gaussian-process-optimisation
computer-experiment-design
-
Updated
Oct 29, 2024 - MATLAB
A flexible MPS framework
stochastic
simulations
nds
mps
texture-synthesis
geostatistics
qs
multiple-point-statistics
quantile-sampling
narrow-distribution-selection
training-images
-
Updated
Oct 25, 2024 - C++
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
python
open-source
awesome
simulation
geospatial
geoscience
open-data
geophysics
open-science
cheatsheet
awesome-list
reservoir-modeling
seismic
geology
groundwater
geostatistics
geosciences
geochemistry
modflow
subsurface
-
Updated
Oct 19, 2024
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
simulation
random-forest
regression
estimation
classification
fft
cart
gabor
markov-chain-monte-carlo
geostatistics
gslib
earthsciences
kriging
variogram
emd
markov-random-field
discrete-wavelet-transformation
stratigraphic-grid
vertical-proportion-curve
contact-analysis
-
Updated
Oct 17, 2024 - C++
A High Performance Unified Framework for Geostatistics on Manycore Systems.
machine-learning
prediction
climate-model
geostatistics
statistical-models
maximum-likelihood-estimation
manycore
-
Updated
Oct 17, 2024 - C
Turing patterns simulation solver for the GeoStats.jl framework
-
Updated
Oct 17, 2024 - Julia
This repository contains notes, explanations, and code snippets related to essential statistics concepts and techniques. The materials cover a range of topics, from basic probability and descriptive statistics to more advanced concepts like hypothesis testing and confidence intervals.
statistics
time-series
probability-distribution
confidence-intervals
hypothesis-testing
geostatistics
kriging-models
-
Updated
Oct 12, 2024 - Jupyter Notebook
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
statistics
notebook
mining
petroleum
geostatistics
python-notebook
applied-statistics
geostatistics-lessons
-
Updated
Oct 10, 2024 - Jupyter Notebook
Fast image quilting simulation solver for the GeoStats.jl framework
computer-vision
image-processing
graph-theory
texture-synthesis
geostatistics
multiple-point-statistics
-
Updated
Oct 9, 2024 - 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
-
Updated
Sep 24, 2024 - Jupyter Notebook
Fast radial basis function interpolation for large scale data
python
cpp
interpolation
regression
approximation
surface-reconstruction
smoothing
splines
spline
kernel-methods
geostatistics
kriging
function-approximation
surface-modeling
radial-basis-function
rbf
-
Updated
Sep 15, 2024 - C++
Improve this page
Add a description, image, and links to the geostatistics topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the geostatistics topic, visit your repo's landing page and select "manage topics."