首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >INVESTIGATING THE NATIONAL DIGITAL CADASTRAL DATABASE (NDCDB) DATA HANDLING WITHIN GIS APPLICATIONS
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INVESTIGATING THE NATIONAL DIGITAL CADASTRAL DATABASE (NDCDB) DATA HANDLING WITHIN GIS APPLICATIONS

机译:在GIS应用程序中调查国家数字地籍数据库(NDCDB)数据处理

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This paper explains the investigation carried out to understand NDCDB data handling within GIS applications. The method used was a case study replicated to five established GIS applications from different agencies, namely eKadasOnline, SKiP, iPlan, TM SmartMap and DBKL Interactive Portal. The case study was propositioned to the statements of; i) “Such methods of applying NDCDB are because user understands its characteristics”, and ii) “such methods of applying NDCDB are because users know how to adopt it.” Cross-case comparison analysis was then conducted to identify rival findings and explanation building. Based on the evidence of the multi-case study, it was concluded that such methods of adopting NDCDB by the GIS applications administrators and developers were because most of them have a partial understanding of the NDCDB characteristics which led to NDCDB being adopted based on the method that they think were suitable. Recommendations are highlighted in this paper to rectify knowledge-based mistakes found in this study, that included; i) ensuring the NDCDB’s cut-off-date; ii) utilises all existing NDCDB layers; iii) ensure to use the map projection parameters are the authorised and official value; iv) understand that the NDCDB utilises the GDM2000 datum with ITRF2000 epoch 2006; v) False Easting and North Easting can be discarded for geocentric datum; vi) adopting the built-in Geocentric Cassini map projection of GIS software is not advisable; and vii) obtaining relevant additional NDCDB layers. With the recommendations emplace, it is hoped the full potential of NDCDB can be tapped especially for multipurpose cadastre implementation including to ease spatial analysis. Data replication, exhaustion of resources, and reduce risks or costly investments made by decision makers, policy makers, developers or individuals can be avoided when NDCDB is fully optimised for spatial analysis.
机译:本文解释了为了解GIS应用程序中的NDCDB数据处理而进行的调查。所使用的方法是一个案例研究,已复制到eKadasOnline,SKiP,iPlan,TM SmartMap和DBKL Interactive Portal等不同机构的五个已建立的GIS应用程序中。案例研究是针对以下陈述的: i)“使用NDCDB的这种方法是因为用户了解其特性”,并且ii)“使用NDCDB的这种方法是因为用户知道如何采用它。”然后进行跨案例比较分析,以确定竞争对手的发现和解释依据。根据多案例研究的证据,得出的结论是,GIS应用程序管理员和开发人员采用NDCDB的这种方法是因为它们大多数对NDCDB的特性有部分了解,从而导致基于该方法采用NDCDB。他们认为合适的。本文着重提出了一些建议,以纠正本研究中发现的基于知识的错误,包括: i)确保NDCDB的截止日期; ii)利用所有现有的NDCDB层; iii)确保使用的地图投影参数为授权值和官方值; iv)了解NDCDB在ITRF2000时代2006年使用了GDM2000数据; v)对于地心基准,可以丢弃虚假的Easting和North Easting; vi)不建议使用GIS软件内置的地心卡西尼地图投影; vii)获得相关的附加NDCDB层。有了这些建议,希望可以充分利用NDCDB的全部潜能,尤其是对于多目的地籍实现,包括简化空间分析。当NDCDB完全针对空间分析进行优化时,可以避免数据复制,资源耗尽以及降低决策者,决策者,开发人员或个人进行的风险或昂贵的投资。

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