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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-tools-for-gis-applications/
课程评论：没有评论
课程名称：Google工具在GIS应用中的使用 课程概述：本课程旨在为地理空间专业人士提供关于Google云平台工具、分析工具和地图API的概览。课程重点在于帮助学员入门多种工具，特别是应用于地理空间领域的工具。尽管许多现有课程涵盖详细内容，但往往缺乏地理空间应用方面的信息，而本课程正是为了填补这些空白。 课程开始时将讲解如何在Google云上实施PostGIS实例，接着将部分地理空间数据导入BigQuery，以便进行快速分析查询。查询结果可通过Data Studio以多种方式可视化，且这些可视化结果易于分享。此外，课程还展示了如何在云中存储文件，如何使用Google Earth Engine进行遥感分析，如何利用Colaboratory进行托管的Jupyter Notebook环境，以及如何使用地图API显示网页地图、定位、规划路径和获取地球上任意地点的高程信息。 截止到2022年4月9日，课程包含超过6个半小时的内容，涵盖了Cloud SQL、BigQuery、Data Studio、Cloud Storage和Cloud Shell自动化。课程的价值在于其内容的全面性，因此我决定现在发布此课程，未来还会在2022年5月增加关于Colaboratory、Earth Engine和地图API的章节。 需要注意的是，本课程与我大多数课程有所不同，因为Google工具并非完全开源，其使用会涉及一定费用。但Google的产品非常慷慨，有些是完全免费的，有些提供免费套餐，且其高级产品对于小型企业来说也很实惠，因为费用是根据使用量计费的。
This course is an overview of Google Cloud Platform tools, analytical tools, and mapping API's that may be of interest to geospatial professionals. The course is broad rather than deep. My goal is to show you how to get started with many different products with an emphasis on geospatial applications. In many cases there are existing courses that cover the details but with little information on geospatial applications and this course is intended to fill in those gaps.Google has an amazing set of tools available in the cloud and elsewhere. We start with implementing an instance of PostGIS in the Google cloud. Then we import some of that geospatial data into BigQuery for super fast analytical queries. The results of those queries can be visualized in a variety of ways in Data Studio and those visualizations are easily shared. I also demonstrate how to store files in the cloud, get started with Google Earth Engine for remote sensing analysis, Colaboratory as a hosted Jupyter Notebook environment, and mapping APIs that allow display of web maps, geolocation, routing, and elevations for any point on earth.NOTE: As of today April 9, 2022 this course has over 6 1/2 hours of content and covers Cloud SQL, Big Query, Data Studio, Cloud Storage, and Cloud Shell automation. I believe this in itself to be worth the price of the course so I am releasing it now but I will be adding sections on Colaboratory, Earth Engine, and the mapping API's in May 2022.This course is different from most of my courses because Google tools are not strictly open source. There are costs associated with them. But rest assured, Google is very generous with its products. Some are completely free to use, some have a free tier that you can use up to a certain amount for free, and even their premium products are very affordable for small businesses as you only pay for what you use.
