scikit-gstat
by mmaelicke
Geostatistical variogram estimation expansion in the scipy style
AI summary
Variogram estimator
Provides tools for estimating geostatistical variograms and performing ordinary kriging
- stars
- 230
- forks
- 55
- watching
- 15
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Geostatistical toolbox
A comprehensive toolkit for geostatistical modeling and analysis, providing functions for data processing, visualization, and simulation.
Kriging toolkit
A toolkit for spatial analysis and geostatistics, implementing various kriging algorithms and tools for data interpolation and modeling.
Geospatial analysis tool
A package for geostatistical modelling, prediction and simulation of spatial and spatio-temporal data.
Geospatial analytics toolkit
An extensible framework for geospatial data science and geostatistical modeling
Geostats Tools
A collection of Python modules for spatial data analytics and geostatistics, providing an implementation of GSLIB functions.
statistical visualizer
Creates {ggplot2} plots with integrated statistical analysis and details
Geostatistics dataset
Provides preprocessed data for geostatistical simulations in Julia.
Geostatistics library
An open-source Python package that uses the Stanford Geostatistical Modeling Software to perform geostatistical modeling and simulations.
Geospatial analysis toolkit
A software toolkit for analyzing and processing geospatial data using machine learning and computer vision techniques
Data visualization toolkit
A collection of command-line tools for manipulating geographic and Cartesian data sets, producing high-quality illustrations, and supporting various map projections.
GIS toolkit
A toolbox for processing geospatial data in support of environmental and climate studies
r-spatial/sf1.4K
Geospatial toolkit
Provides simple features access for R, allowing users to work with geospatial data in a unified way across various formats and systems.
Statistical calculator
Provides a set of statistical functions in Swift for calculations such as mean, median, standard deviation, and more.
Geo computing demo
Demonstrating potential of Julia for Geospatial technology with ArchGDAL and Sentinel 2a data
gdsbook/book339
Data Analysis Tool
An interactive introduction to geospatial data analysis using Python and Jupyter Notebook
Featured in 1 awesome list
Each link jumps to the spot where the list mentions scikit-gstat.
