emanuelhuber
uncertainty quantification | hydrogeology | ground-penetrating radar | sedimentology | water supply | R | openFOAM
buccaneerSwitzerland
Pinned Repositories
CBRDM
3D object-based model of braided river deposits (marked point process), an open-source software package (R language)
FEFLOWpy
Python code for FEFLOW pre- and post-processing
GauProMod
Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen).
GPRsuite
Shiny app for RGPR (https://github.com/emanuelhuber/RGPR) - still experimental
gwFlowTransportSSFoam
Groundwater flow and steady-state advection-diffusion solver for OpenFOAM (C++), based on the porousMultiphaseFoam solver.
RConics
Solve some conic related problems (intersection of conics with lines and conics, arc length of an ellipse, polar lines, etc.).
RGPR
Ground-penetrating radar (GPR) data processing and visualisation: a free and open-source software package (R language)
RPGPRpy
Python wrapper for RGPR (ground-penetrating radar visualisation & processing)
runitconverter
R package: shiny app unit converter
emanuelhuber's Repositories
emanuelhuber/RGPR
Ground-penetrating radar (GPR) data processing and visualisation: a free and open-source software package (R language)
emanuelhuber/GauProMod
Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen).
emanuelhuber/RPGPRpy
Python wrapper for RGPR (ground-penetrating radar visualisation & processing)
emanuelhuber/CBRDM
3D object-based model of braided river deposits (marked point process), an open-source software package (R language)
emanuelhuber/FEFLOWpy
Python code for FEFLOW pre- and post-processing
emanuelhuber/emanuelhuber.github.io
Research website
emanuelhuber/GPRsuite
Shiny app for RGPR (https://github.com/emanuelhuber/RGPR) - still experimental
emanuelhuber/analytic_gw_book
This repository contains the Python code of "Analytical Groundwater Modeling: Theory and Applications Using Python" by Mark Bakker and Vincent Post
emanuelhuber/FEFLOWR
emanuelhuber/pyGPR
Open-source python library for GPR data visualisation and processing
emanuelhuber/QGIS_tricks
QGIS tricks
emanuelhuber/runitconverter
R package: shiny app unit converter
emanuelhuber/RConics
Solve some conic related problems (intersection of conics with lines and conics, arc length of an ellipse, polar lines, etc.).
emanuelhuber/3D-Stochastic-Implicit-Modeling
emanuelhuber/awesome-shiny-extensions
Awesome R packages that offer extended UI or server components for the R web framework Shiny
emanuelhuber/BLP
Bayesian Learning Potential
emanuelhuber/bruges
Geophysics library with various helpful functions
emanuelhuber/crossSectionInterp
Cross section interpolation (e.g. of river channel)
emanuelhuber/geoscience-notebooks
Some notebook focusing on geoscientific applications.
emanuelhuber/hyperbola_recognition
This repository presents the c3_algorithm for detecting and fitting hypobolae from Ground Penetrating Radar (GPR) B-scan images.
emanuelhuber/ifm_contrib
an open-source extension to the FEFLOW Programming API
emanuelhuber/nimoT
Read and visualise nimoT-logs (T-logs: temperature measurement from BHE
emanuelhuber/pumpingtest
pumpingtest is a R package designed for the analysis and evaluation of aquifer tests in wells. The package includes the most common analytical solutions used to describe groundwater flow in different types of aquifers around wells.
emanuelhuber/PyGeo
Python for Geosciences: A 1 week course
emanuelhuber/rasterInterp
User friendly interpolation of points (x,y,m) to raster
emanuelhuber/testcolourpicker
Package to test the utilisation of colourpicker in a package
emanuelhuber/Three-dimensional-Reconstruction-for-Ground-penetrating-Radar-Data-
Config files for my GitHub profile.
emanuelhuber/unconfined
Unconfined well test simulator written in Fortran, and data from three major pumping tests
emanuelhuber/VTI_rays
VTI raytracing
emanuelhuber/welltestpy
A python-package for handling well based field campaigns.