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OGC Web Processing Service and Table Joining Service: A land suitability rating system implementation case

机译:OGC Web处理服务和表连接服务:土地适用性评估系统实施案例

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In the geospatial domain, the Open Geospatial Consortium (OGC) has recently released two new web service interface specifications designed to enable spatial data provision, calculations and modeling on the Internet. These specifications are known as the Web Processing Service (WPS) and Table Joining Service (TJS). A WPS can be used to enable access to any sort of calculation or model, although it is primarily intended to operate on spatially referenced data. The data required by the service can be available locally, or delivered across a network. There is no limit on the complexity of model which can be delivered via WPS. WPS specifies a standardized way to make a model available as all three conventional types of web services, namely KVP GET, XML POST, and as SOAP. As such, it allows the client to choose their preferred method of implementation. WPS essentially defines a way to wrap a model so that it can be executed over a network. It has been implemented in JAVA, Python, and Ruby, and has recently started to become popular in the geospatial GRID computing community. TJS specifies an XML encoding of tabular polygon attribute data that is known as geolinkable data. This encoding includes a substantial amount of metadata that completely describes the data contents. The xml based geolinkable data format is thus useful as a way to store and exchange data suitable for polygon-based modeling. The Land Suitability Rating System for Canada (LSRS) assesses climate, landscape, and soil factors in order to rate the suitability of land for growing crops. Currently, the list of crops includes alfalfa, brome, canola, corn, soybeans, and spring-seeded small grains. LSRS has been under development since the mid 1980's, and implemented in a variety of desktop software. Recently, the model was rewritten and deployed as suite of web services, based in part on recent and emerging standards from the OGC. This paper will use the LSRS use case to demonstrate the utility of the WPS and- TJS and to describe the principles and generic approaches using OGC web services for computer network based modeling and modeling chaining.
机译:在地理空间领域,开放地理空间联盟(OGC)最近发布了两个新的Web服务接口规范,旨在支持Internet上的空间数据提供,计算和建模。这些规范被称为Web处理服务(WPS)和表联接服务(TJS)。尽管WPS主要用于对空间参考数据进行操作,但它可以用于访问任何类型的计算或模型。服务所需的数据可以在本地使用,也可以通过网络传递。通过WPS交付的模型的复杂性没有限制。 WPS指定了一种标准化的方法来使模型可用于所有三种常规类型的Web服务,即KVP GET,XML POST和SOAP。这样,它允许客户选择其首选的实现方法。 WPS本质上定义了一种包装模型的方法,以便可以在网络上执行它。它已在JAVA,Python和Ruby中实现,并且最近开始在地理空间GRID计算社区中流行。 TJS指定表格多边形属性数据的XML编码,称为地理链接数据。此编码包含大量元数据,可以完全描述数据内容。因此,基于xml的可地理链接的数据格式可用作存储和交换适用于基于多边形的建模的数据的方式。加拿大土地适宜性评估系统(LSRS)评估气候,景观和土壤因素,以便评估土地对农作物的适宜性。目前,农作物种类包括苜蓿,青菜,油菜,玉米,大豆和春季播种的小谷物。 LSRS自1980年代中期以来一直在开发中,并已在各种桌面软件中实现。最近,部分基于OGC的最新和新兴标准,将该模型重写并部署为Web服务套件。本文将使用LSRS用例来演示WPS和TJS的实用性,并描述使用OGC Web服务进行基于计算机网络的建模和建模链的原理和通用方法。

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