Python中的地理空间分析 [英] Geospatial Analytics in Python

问题描述

我一直在做一些调查，以找到要安装并用于地理空间分析的软件包

I have been doing some investigation to find a package to install and use for Geospatial Analytics

我最接近的是 https://github.com/harsha2010/magellan -但是只有scala界面，没有doco如何在Python中使用它.

The closest I got to was https://github.com/harsha2010/magellan - This however has only scala interface and no doco how to use it with Python.

我希望您是否知道我可以使用的包裹?

I was hoping if you someone knows of a package I can use?

我要做的是分析Uber的数据，并将其映射到实际的邮政编码/郊区，然后通过SGD运行它以预测前往特定郊区的旅行次数.

What I am trying to do is analyse Uber's data and map it to the actual postcodes/suburbs and run it though SGD to predict the number of trips to a particular suburb.

这里已经有很多数据信息- http: //hortonworks.com/blog/magellan-geospatial-analytics-in-spark/#comment-606532 ，我正在寻找在Python中执行此操作的方法.

There is already lots of data info here - http://hortonworks.com/blog/magellan-geospatial-analytics-in-spark/#comment-606532 and I am looking for ways to do it in Python.

推荐答案

我意识到这是一个老问题，但要以Jeff G的回答为基础.

I realize this is an old questions, but to build on Jeff G's answer.

如果您到达此页面以寻求帮助，以Python组合一套地理空间分析工具-我强烈建议您使用本教程.

If you arrive at this page looking for help putting together a suite of geospatial analytics tools in python - I would highly recommend this tutorial.

https://geohackweek.github.io/vector

在第3部分中，它确实引起了人们的关注.

It really picks up steam in the 3rd section.

它显示了如何集成

1. GeoPandas
2. PostGIS
3. 福利
4. rasterstats

添加scikit-learn，numpy和scipy，您确实可以完成很多工作.您也可以从 nDarray教程中获取信息

add in scikit-learn, numpy, and scipy and you can really accomplish a lot. You can grab information from this nDarray tutorial as well

这篇关于Python中的地理空间分析的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！