The GARP modelling system: problems and solutions to automated spatial prediction
The GARP modelling system: problems and solutions to automated spatial prediction
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DOI：
10.1080/136588199241391
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发表时间：
1999-03-01
影响因子：
5.7
通讯作者：
Peters, D
中科院分区：
文献类型：
--
作者：
Stockwell, D;Peters, D
本文研究任意数据集的可靠性分析中存在的问题和解决方法。我们的方法是描述被称为GARP建模系统(CMS)的系统的组件，该系统是我们开发的，用于自动对动植物物种分布的预测空间建模。该系统的实质是一种基本的通用空间建模方法，可过滤掉潜在的误差源。然而，这种方法是普遍适用的，因为任意空间数据分析中出现的统计问题可能适用于任何领域。为了便于开发，GMS与现有的数据库和可视化工具以及互联网浏览器的设施进行了集成。GMS是一种非常成功的应用程序，它以一种简单易用的方式通过互联网提供空间数据分析。
This paper is concerned with the problems and solutions to reliable analysis of arbitrary datasets. Our approach is to describe components of a system called the GARP Modelling System (CMS) which we have developed for automating predictive spatial modelling of the distribution of species of plants and animals. The essence of the system is an underlying generic spatial modelling method which filters out potential sources of errors. The approach is generally applicable however, as the statistical problems arising in arbitrary spatial data analysis potentially apply to any domain. For ease of development, GMS is integrated with the facilities of existing database and visualization tools, and Internet browsers. The GMS is an example of a class of application which has been very successful for providing spatial data analysis in a simple to use way via the Internet.