JuliaEarth / Geostats.jl
Licence: mit
An extensible framework for high-performance geostatistics in Julia
Stars: ✭ 222
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Project goals
- Design a comprehensive framework for geostatistics (or spatial statistics) in a modern programming language.
- Address the lack of a platform for scientific comparison of different geostatistical algorithms in the literature.
- Exploit modern hardware aggressively, including GPUs and computer clusters.
- Educate people outside of the field about the existence of geostatistics.
Installation
Get the latest stable release with Julia's package manager:
] add GeoStats
Documentation
- STABLE — most recently tagged version of the documentation.
- LATEST — in-development version of the documentation.
Tutorials
A set of Jupyter notebooks demonstrating the current functionality of the project is available in GeoStatsTutorials with an accompanying series of videos:
Below is a quick preview of the high-level API:
using GeoStats
using Plots
# data.csv:
# x, y, station, precip
# 25.0, 25.0, palo alto, 1.0
# 50.0, 75.0, redwood city, 0.0
# 75.0, 50.0, mountain view, 1.0
# read spatial data (e.g. geotable)
𝒯 = readgeotable("data.csv", coordnames=(:x,:y))
# define spatial domain (e.g. Cartesian grid)
𝒟 = CartesianGrid(100, 100)
# define estimation problem for precipitation
𝒫 = EstimationProblem(𝒯, 𝒟, :precip)
# choose a solver from the list of solvers
𝒮 = Kriging(
:precip => (variogram=GaussianVariogram(range=35.),)
)
# solve the problem
sol = solve(𝒫, 𝒮)
# plot the solution
contourf(sol)
If you have questions, don't hesitate to ask in our community channels:
Contributing and supporting
Contributions are very welcome, as are feature requests and suggestions. Please open an issue if you encounter any problems. We have written instructions to help you with the process.
GeoStats.jl was developed as part of academic research. It will always be open
source and free of charge. If you would like to help support the project, please
star the repository 
Citing
If you find GeoStats.jl useful in your work, please consider citing it:
@ARTICLE{GeoStats.jl-2018,
title={GeoStats.jl – High-performance geostatistics in Julia},
author={Hoffimann, Júlio},
journal={Journal of Open Source Software},
publisher={The Open Journal},
volume={3},
pages={692},
number={24},
ISSN={2475-9066},
DOI={10.21105/joss.00692},
url={http://dx.doi.org/10.21105/joss.00692},
year={2018},
month={Apr}
}
Used at
Contributors
This project would not be possible without the contributions of:
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].