个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证制作者的介绍仅有上面的一句话。 更多详情请阅读仓库 README。 仓库 README ↗
正在加载完整 README。
查看完整 README ↗
The 🔥GPlates Web Service🔥 is a part of the on-going GPlates project funded by AuScope. The web service is built upon pyGPlates and allows users to utilize the pyGPlates functionalities without the need of installing pyGPlates locally. Users send HTTP requests to https://gws.gplates.org or On-Prem server, and then the server will process the requests and send the results back. The web service provides access to pyGPlates functionalities across multiple programming languages and operating systems.
The GPlates Web Service is created and maintained by EarthByte group at the University of Sydney.
Please give us a ⭐star⭐ to show your support for our development team. Thank you very much!
👉 Use the GPlates Web Service in a web browser
{"type": "MultiPoint", "coordinates": [[59.3469, 60.9242], [124.7549, -59.069]]}
The server returns a valid GeoJSON MultiPoint geometry containing the paleo-coordinates of two present-day locations ([95,54] and [142,-33]) at 140 Ma. The paleo-coordinates are calculated using the plate reconstruction model ZAHIROVIC2022.
👉 Use curl or wget
wget -qO - "https://gws.gplates.org/reconstruct/reconstruct_points/?lons=95,142&lats=54,-33&time=140&model=ZAHIROVIC2022"
curl "https://gws.gplates.org/reconstruct/reconstruct_points/?lons=95,142&lats=54,-33&time=140&model=ZAHIROVIC2022"
👉 Use GPlates Web Service Python Wrapper(gwspy)
The examples of using the web service in Python can be found at here.
👉 Use GPlates Web Service in R
The rgplates is a good example of using GPlates Web Service in R programming language.
👉 Use GPlates Web Service in JavaScript
The gplates-js is an experimental project of using GPlates Web Service in JavaScript programming language.
👉 Setup your own server
You are welcome to use our servers. But for better performance and data security, you might want to set up the service on your own server/personal computer.
Start your own GWS server is as simple as the one-line command below. You need Docker to run this command.
docker run -d --rm -p 18000:80 gplates/gws
See docker/README.md for the step-by-step instructions.
django -- source files for the backend
docker -- files for building Docker image
doc -- source files for the online documentation website
examples -- examples of the usage of this web service
test -- source code for testing
scripts -- some miscellaneous supporting scripts
data -- symbolic link to the folder containing the data files
Click this 👉link👈 to see details about using Docker in the development/production environment.
Some more examples of accessing the service from different languages (R, MATLAB, bash/GMT, Python) can be found at https://github.com/siwill22/gws-examples.
The GPlates Web Service is free software (also known as open-source software), licensed for distribution under the GNU General Public License (GPL) Version 2. Contact EarthByte group regarding the details of the software licensing.
The main server is provided by NCI Cloud under AuScope scheme. Two backup servers are provided by NCI and EarthByte group.