最好的Python GIS库? [英] Best Python GIS library?
问题描述
我正在根据以下(主观)标准，寻求有关当前可用的最佳Python GIS库的建议:
I am looking for recommendations as to the best Python GIS library currently available based on the following (subjective) criteria:
- 易于使用/Python界面/文档
- 就当前以及将来的可用功能而言，它具有强大的功能(仍在开发中还是已淘汰).
到目前为止，我已经详细了解了
So far I have looked at, in some detail:
-
GEOS/OGR/GDAL:到目前为止，我一直在看这个图书馆，使用此网页作为辅导老师.我最初的反应是，尽管有些事情很容易，但我已经遇到了一些坑洼.例如，如果我想创建一个MultiPoint几何并使用Union()函数确定多边形内的点，就会遇到问题，但是Python绑定仅由SWIG生成，并且所有文档都是由计算机生成的.我之所以写这篇文章，是因为它令我震惊，因为那里可能会有更好的库.
GEOS/OGR/GDAL: So far I have been looking at this library, using this webpage as a tutor. My initial reaction is that while some things have been easy, already I have been running into a few potholes. For example, if I want to create a MultiPoint geometry and determine which points are inside a Polygon using the Union() function, I run into problems, but the Python bindings are just generated by SWIG and all of the documentation is computer generated. I made this post because it struck me that there might be better libraries out there.
GeoDjango:好的，它还是基于GEOS C/C ++库，但是界面似乎很直观，而且可能记录得更好.我也感觉到它正在积极更新.我对Web应用程序不感兴趣，但这似乎不是问题吗?
GeoDjango: Well this is again based on the GEOS C/C++ library, but it appears the interface might be intuitive, and possibly better documented. I also have the sense it is being actively updated. I'm not interested in web applications, but this doesn't seem to be an issue?
形状:再次基于GEOS库，似乎具有Pythonic接口.不确定功能支持或开发状态.
Shapely: Again based on the GEOS library, seems to have a Pythonic interface. Not sure about feature support or development status.
其他?有什么想法吗?预先感谢！
Others? Thoughts? Thanks in advance!
推荐答案
In 2011, this is how you check a project's vital signs: https://github.com/sgillies/shapely/commits/master/.
根据我的诚实意见(免责声明:我是首席开发人员和手动作者)，Shapely的文档与任何其他GIS软件一起在此处；也许不如PostGIS手册(crêmede lacrême)更好，但是比ArcPy的要好，比GEOS的要好得多.
In my honest opinion (disclaimer: I am the lead developer and manual author), Shapely's documentation is right up there with any other GIS software; maybe not quite as good as the PostGIS manual (crême de la crême), but better than ArcPy's, and much better than GEOS's.
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