https://github.com/briochemc/geostats.jl

An extensible framework for high-performance geostatistics in Julia

https://github.com/briochemc/geostats.jl

Science Score: 23.0%

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    Found 8 DOI reference(s) in README
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    Low similarity (13.9%) to scientific vocabulary
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An extensible framework for high-performance geostatistics in Julia

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Fork of JuliaEarth/GeoStats.jl
Created about 5 years ago · Last pushed about 5 years ago

https://github.com/briochemc/GeoStats.jl/blob/master/


# 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: ```julia ] add GeoStats ``` ## Documentation - [**STABLE**][docs-stable-url] — **most recently tagged version of the documentation.** - [**LATEST**][docs-latest-url] — *in-development version of the documentation.* ## Tutorials A set of Jupyter notebooks demonstrating the current functionality of the project is available in [GeoStatsTutorials](https://github.com/JuliaEarth/GeoStatsTutorials) with an accompanying series of videos:

Below is a quick preview of the high-level API: ```julia 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) = readgeotable("data.csv", coordnames=(:x,:y)) # define spatial domain (e.g. Cartesian grid) = CartesianGrid(100, 100) # define estimation problem for precipitation = EstimationProblem(, , :precip) # choose a solver from the list of solvers = Kriging( :precip => (variogram=GaussianVariogram(range=35.),) ) # solve the problem sol = solve(, ) # plot the solution contourf(sol) ```

If you have questions, don't hesitate to ask in our community channels: [![GITTER][gitter-img]][gitter-url] [![ZULIP][zulip-img]][zulip-url] ## Contributing and supporting Contributions are very welcome, as are feature requests and suggestions. Please [open an issue](https://github.com/JuliaEarth/GeoStats.jl/issues) if you encounter any problems. We have [written instructions](CONTRIBUTING.md) 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 [![STARS][stars-img]][stars-url] and share it with your colleagues. ## Citing If you find GeoStats.jl useful in your work, please consider citing it: [![JOSS][joss-img]][joss-url] [![DOI][zenodo-img]][zenodo-url] ```bibtex @ARTICLE{GeoStats.jl-2018, title={GeoStats.jl High-performance geostatistics in Julia}, author={Hoffimann, Jlio}, 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



[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue?style=flat-square [docs-stable-url]: https://JuliaEarth.github.io/GeoStats.jl/stable [docs-latest-img]: https://img.shields.io/badge/docs-latest-blue?style=flat-square [docs-latest-url]: https://JuliaEarth.github.io/GeoStats.jl/latest [joss-img]: https://img.shields.io/badge/JOSS-10.21105%2Fjoss.00692-brightgreen?style=flat-square [joss-url]: https://doi.org/10.21105/joss.00692 [zenodo-img]: https://img.shields.io/badge/DOI-10.5281%2Fzenodo.3875233-blue?style=flat-square [zenodo-url]: https://zenodo.org/badge/latestdoi/33827844 [gitter-img]: https://img.shields.io/badge/chat-on%20gitter-bc0067?style=flat-square [gitter-url]: https://gitter.im/JuliaEarth/GeoStats.jl [zulip-img]: https://img.shields.io/badge/chat-on%20zulip-9cf?style=flat-square [zulip-url]: https://julialang.zulipchat.com/#narrow/stream/276201-geostats.2Ejl [stars-img]: https://img.shields.io/github/stars/JuliaEarth/GeoStats.jl?style=social [stars-url]: https://github.com/JuliaEarth/GeoStats.jl ## Contributors This project would not be possible without the contributions of:

Maarten Pronk


Martijn Visser


Fredrik Ekre


Durand D'souza


Morten Piibeleht


Tony Kelman


M. A. Siddique


Anshul Singhvi


Zlatan Vasovi


Benoit Pasquier


exepulveda


Renato Aranha


Patrick Kofod Mogensen


Kai Xu


Paul Matlashewski


Riyad Muradov


Alex Miltenberger


Lakshya Khatri


Milan Bouchet-Valat


Rafael Caixeta


Sam


Nitish Gadangi


Mattriks


cormullion


Mauro


Gaurav Wasnik


Atreya Majumdar


Hadrien Meyer

Owner

  • Name: Benoît Pasquier
  • Login: briochemc
  • Kind: user
  • Location: Sydney, Australia
  • Company: UNSW

Research Associate at UNSW

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