Recently Downloaded: Paper ID: ART2019258, Total 468 Articles Downloaded Today
Application of Digital Cadastre on Tax Assessment for the New Yenagoa City, Tourism Island, Yenagoa, Bayelsa State, Nigeria
Akwaowo Ekpa, Aniekan Eyoh
Abstract: The management of land and resources has seen many and varied approaches and systems. Land registration and cadastre has been some of the approaches and systems, and a digital cadastre map is the main component of this system. Fundamental to this study was the design and implementation of a digital cadastre to generate digital plans and related attribute information. This also facilitates efficient land management, spatial planning and the issuance of land titles in order to promote security of land tenure, reduce land disputes so as to enhance revenue generation. The study location was the New Yenagoa City, Tourism Island, Bayelsa State, Nigeria. The approach adopted involved acquiring geometric data through ground surveying method, and the non-geometric (attribute) data were acquired through social survey. The database of the layout was designed using the vector data modelling, while the graphical display of the spatial data was performed using AutoCAD 2016 and ArcGIS 10.1. Spatial analysis relevant to cadastre and revenue generation were performed using queries to assess the effectiveness of the system in tax management. The extent of the study area was 221.82 hectares with a perimeter of 7593.699 meters and linear accuracy of 1/54,000.
Keywords: Keywords: Digital Cadastre, Land Register, Taxation, Database, Layout.
Country: Nigeria, Subject Area: Environmental Science
Pages: 52 - 56
Edition: Volume 8 Issue 6, June 2019
How to Cite this Article?
Akwaowo Ekpa, Aniekan Eyoh, "Application of Digital Cadastre on Tax Assessment for the New Yenagoa City, Tourism Island, Yenagoa, Bayelsa State, Nigeria", International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v8i6/show_abstract.php?id=ART20198367, Volume 8 Issue 6, June 2019, 52 - 56
Viewed 29 times.
Downloaded 23 times.