...
首页> 外文期刊>Journal of Geographic Information System >A Web-Based Pilot Implementation of the Africanized Land Administration Domain Model for Kenya—A Case Study of Nyeri County
【24h】

A Web-Based Pilot Implementation of the Africanized Land Administration Domain Model for Kenya—A Case Study of Nyeri County

机译:肯尼亚非洲化土地管理领域模型的基于Web的试验实现—以涅里县为例

获取原文
           

摘要

Kenya has amassed a wealth of paper based land information records collected over the duration of more than a century. The National Land Commission (NLC) having the mandate to develop a National Land Information Management System (NLIMS) for Kenya partnered with the Dedan Kimathi University of Technology on a project to develop a pilot LIMS for Nyeri County. A pilot Land Administration System (LAS) has been developed in this work and utilizes an Africanized Land Administration Domain Model (A-LADM) fitted to the Kenyan context. Various processes involved in land administration that required to be automated were identified. Informed by the numbers of applications made for the change of User service, it was picked as the first workflow to be automated. The key outputs of this work were the A-LADM and pilot LAS. The pilot solution uses a webcentric solution, with the data stored and managed centrally from a PostGIS database backend, using the Python Django framework to implement the server side and client side frontend. This solution demonstrates the importance of automating processes and supporting standards based software development. Stakeholder participation is key when implementing systems and 2 workshops are held to capture requirements and validate the developed solution.
机译:肯尼亚在一个多世纪的时间里积累了大量纸质土地信息记录。国家土地委员会(NLC)的任务是为肯尼亚开发国家土地信息管理系统(NLIMS),与Dedan Kimathi技术大学合作,为Nyeri县开发试点LIMS的项目。在这项工作中开发了一个试点土地管理系统(LAS),并利用了适合肯尼亚情况的非洲化土地管理领域模型(A-LADM)。确定了涉及土地管理的各种过程,这些过程需要自动化。通过更改用户服务的应用程序数量得知,它被选为第一个自动化的工作流程。这项工作的主要产出是A-LADM和LAS试点。该试点解决方案使用以Web为中心的解决方案,其中的数据从PostGIS数据库后端集中存储和管理,并使用Python Django框架实现服务器端和客户端端。该解决方案证明了自动化流程和支持基于标准的软件开发的重要性。利益相关者的参与是实施系统的关键,并且举办两次研讨会以捕获需求并验证开发的解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号