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Division of Geomatics

A mathematical model for least squares point determination from cadastral data

Abstract

dc:description.abstract

Transnet possesses approximately 60000 land parcels covering the whole of the South African rail network. These parcels, or polygons, will form the base map in a corporate Geographic Information System (GIS) which will be used for property administration and general railroad operations management. Accuracy requirements are high and unique coordinate values have to be determined for each polygon apex before data are input into the GIS. Railroad property portfolios are characteristically configured in long thin strips. The solution therefore has to cope with poor geometry. The method used to determine apex coordinates must be time and cost efficient, and produce acceptable levels of precision. This study examines the feasibility of using a particular mathematical model with the least squares method in the partial automation of the determination of unique points from sets of differing and, at times, conflicting cadastral data for the creation of a digital cadastral database. The approach is not a mathematically rigorous conventional survey network solution, but a pragmatic application of least squares and network principles, to suit the nature and limitations of the data.

Degree

thesis:*
Grantor dc:publisher.institution
Division of Geomatics
Year dc:date.issued
1997

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nel, Lance
Advisor dc:contributor.advisor
  • Barry, Michael B

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/16085
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/16085

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Nel, Lance. A mathematical model for least squares point determination from cadastral data. Division of Geomatics, 1997. http://hdl.handle.net/11427/16085