Creating a Land Information System for a Sectional Property Case Study: Lr 1870/1/218, Westlands, Nairobi
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Date
2019Author
Muraya, Lawrence O
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
The general trend of urbanization, population growth and industrialization is asserting more
pressure on land, depending on various human activities and land use. Since the supply of land
is inelastic and fixed in quantity, there is need to maximise the use of available land. Due to
the rising need for further developments, it is becoming necessary to construct tall complex
buildings, run cables and other facilities underground or in space, in order to maximise on use
of available land.
A general lack of efficient and comprehensive geospatial information in digital form in Kenya
has brought about a number of problems and challenges such as loss of land documents,
corruption, and intrusion of middlemen in the Survey and Lands offices especially during the
land search process or when looking for maps in Lands Offices. These challenges in Lands
and Survey offices can be eliminated by setting up a centralized, up-to-date geodatabase that
can be accessed easily. Digital Land Information Management is now globally accepted as the
best way to enhance the operation and management of land information in cities.
In this project, a sectional property in parcel LR 1870/1/218, Ring Road, Westlands, Nairobi,
which has forty one (41) units was mapped and a database was created to expedite the search
of the information in relation to ownership and rights, responsibilities and restrictions (3Rs) in
relation to the property.
The sectional property data was collected for analysis and application of the geodatabase
technology in processing, analysing, storing, dissemination and archiving of the data in a
computer based system through a geodatabase system that would aid the information retrieval
to relevant people or authorities. This prototype system provides a platform and a system that
managers and the government department would use for data management.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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