Resources
by GeostatsGuy
Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
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Resource repository
A collection of educational resources on spatial data analytics, geostatistics, and machine learning.
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Similar projects
Found by comparing what the projects do, not just their names.
Geostats Tools
A collection of Python modules for spatial data analytics and geostatistics, providing an implementation of GSLIB functions.
Geostatistical toolbox
A comprehensive toolkit for geostatistical modeling and analysis, providing functions for data processing, visualization, and simulation.
Geographic Data Science Resource
A reproducible resource for teaching geographic data science in R
Geostatistics dataset
Provides preprocessed data for geostatistical simulations in Julia.
georust/geo1.6K
Spatial toolkit
Geospatial primitive types and algorithms for spatial data manipulation
Geospatial analytics toolkit
An extensible framework for geospatial data science and geostatistical modeling
Geospatial analysis tool
A package for geostatistical modelling, prediction and simulation of spatial and spatio-temporal data.
Geostatistics library
An open-source Python package that uses the Stanford Geostatistical Modeling Software to perform geostatistical modeling and simulations.
Kriging toolkit
A toolkit for spatial analysis and geostatistics, implementing various kriging algorithms and tools for data interpolation and modeling.
Data Science Toolkit
A collection of Go-based resources and tools for data science tasks
Spatial analytics library
An R package providing spatial data analysis tools based on GeoDa's C++ source code
Spatial analytics tool
Software for Advanced Spatial Econometrics
hpgl/hpgl112
Geostatistics library
A geostatistics library providing efficient and accurate algorithms for analyzing spatial data
Geospatial library
A Ruby library for working with geospatial data and geometric operations
Geospatial guide
Educational material on cloud native geospatial technologies
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