Mobile GIS data collection apps with Leaflet and PostGIS

所在平台: Udemy

课程主页: https://www.udemy.com/course/mobile-gis-data-collection-apps-with-leaflet-and-postgis/

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课程简介

《使用 Leaflet 和 PostGIS 开发移动 GIS 数据采集应用》 本课程教授如何开发基于 HTML5 的 GPS 数据采集应用程序,这些应用可在移动设备上像原生应用一样运行。虽然市面上有很多现成的移动数据采集方案,但自行开发有时更具成本效益和定制化优势。 **课程亮点:** * **成本效益:** 相比商业应用的月度订阅费(每用户 30-50 美元),自行开发对于用户量较大的团队(如 50 用户)而言,能显著降低成本。 * **高度定制化:** 商业解决方案通常功能受限,而自行开发可以实现任何设想的功能,甚至比使用“无编程”解决方案更快实现。 * **实时数据访问:** 课程技术直接连接 PostGIS 数据库,确保所有数据更改即时反映在桌面 GIS(如 ArcGIS, QGIS)、其他 Web 应用或电子表格等客户端应用中,节省数据传输时间和避免错误,特别适合大规模数据收集项目。 课程也将探讨 HTML5 Web 应用在此类工作中的局限性,并提供潜在的解决方案。

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课程详情

Learn how to develop your own HTML5 GPS data collection applications that work like a native app on your mobile device. While there are many canned options available for mobile data collection that may meet your needs, there are many times when it may be more cost-effective to develop your own.Cost - Even if your needs are simple many commercial applications require monthly per-user subscriptions, often in the neighborhood of $30-$50 per month. For 1 or 2 users that may not be much but with 50 users it quickly becomes cost effective to write your own.Customizability - Commercial "non-programming" solutions tend to be one-size fits all. Although they may have some flexibility, it is not uncommon for many applications to need functionality that is not available. Writing your own mean that if you can envision it you can implement it. Often you can implement it faster than you could in a "non-programming" solution even if it is available.Real-time data access - The techniques taught in this course access a PostGIS database directly so that any changes that are made are available immediately to any other client applications whether they be desktop GIS like ArcGIS or QGIS, other web applications, or other client software such as a spreadsheet program, etc. This also means that there is no time wasted transferring data from device to server, etc which may save hundreds or even thousands of man hours in large data gathering efforts and avoid a large source of errors.HTML5 web applications also have some downsides for this type of work and these are discussed in the course and potential solutions are also addressed.

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