Geospatial Data Science with Python: GeoPandas

所在平台: Udemy

课程主页: https://www.udemy.com/course/geospatial-data-science-with-python-geopandas/

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Coursera 课程摘要:《Python 地理空间数据科学:GeoPandas》 本课程将带您深入了解为什么地理空间数据科学工具在地理空间领域越来越受欢迎。通过将 Jupyter Notebook 与 Python 和 GeoPandas 结合使用,您可以快速、可重复地分析矢量数据,并完整记录每一个分析步骤。这种方法确保您的整个分析过程都可以在 Notebook 中得以复现,并能轻松地与同事分享。 如果您曾经需要为科学论文、法庭辩护或与他人分享分析过程以供其遵循时解释您的分析,那么使用 Jupyter Notebook 和 GeoPandas 进行分析,而非传统的桌面 GIS 系统,将是您明智的选择。 如果您曾对桌面 GIS 软件的局限性感到沮丧,例如一些仍然是 32 位、单核运行,并且底层技术陈旧的软件,那么您将真正体会到这种现代化方法所能带来的卓越性能。

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Learn why the Geospatial Data Science tools are becoming so popular in the Geospatial sector. The combination of Jupyter Notebooks with Python and GeoPanda's allows you to analyze vector data quickly, repeatably, and with full documentation of every step along the way so your entire analysis can be repeated at the touch of a button in a notebook format that can be shared with colleagues.If you ever get asked to explain your analysis, either for a scientific paper, to defend your results in a court, or simply to share what you've done with others so they can follow your steps than you will be glad that you conducted your analysis in Jupyter notebooks with GeoPanda's rather than in a traditional desktop GIS system.If you ever get frustrated with limitations in desktop GIS software, some of which is still 32 bit, single core software that uses decades old technology under the hood then you will appreciate the performance that can be achieved with this approach.

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