Source: g2s
Section: science
Priority: optional
Maintainer: Dr. Mathieu Gravey <g2s@mgravey.com>
Build-debhelper: 9 (>= Depends)
Standards-Version: 4.6.2
Package: g2s
Version: x.y.z
Architecture: all
Homepage: https://gaia-unil.github.io/G2S/
Build-Depends: build-essential
Depends: libzmq3-dev, libjsoncpp-dev, zlib1g-dev, libfftw3-dev, libcurl4-openssl-dev
Description: Toolbox for geostatistical simulations.
 G2S (GeoStatistical Server) is a versatile framework designed to run
 stochastic simulations using state-of-the-art Multiple Point Statistics (MPS)
 algorithms.
 The G2S framework currently mainly includes the following algorithms:
  - QuickSampling (QS): A robust and efficient pixel-based MPS algorithm for
    (un)conditional simulation, gap filling, and downscaling with continuous or
    categorical variables in any dimensionality (1D, 2D, 3D, nD).
  - Narrow Distribution Selection (NDS): A specialized algorithm for simulating
    spectrally enhanced remote-sensed imagery, requiring an external variable
    (e.g., grayscale image) to control the simulation of colors.
