Kriging Toolkit for Python
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Updated
May 27, 2024 - Python
Kriging Toolkit for Python
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Analysis of digital elevation models (DEMs)
Geostatistics in Python
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"
Use SGeMS (Stanford Geostatistical Modeling Software) within Python.
Set of tools to manipulate Digital Elevation Models (DEMs)
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
Python geostatistical package to perform automated exploratory and geostatistical data analysis.
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"
Geostatistical simulation for the homogenisation and interpolation of climate data
Forked and maintained separately from Sean Horan. Fixed major flaws, adding descriptions, blending functionality with SGEMS and other SCERF code.
Jupyter Notebook GeoScientific Python Stack - Dockerfile
A Python module to apply sequential 2D multiple-point simulation with conditioning data
Here we investigate the impact of different types of transmissivity connectivity on contaminant transport.
A Python library to implement a Co-Simulation Method with Copulas and Multi-Objective Optimization.
Spatial interpolation python package
Compare the migration table of a value between two datasets
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