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dc.contributor.authorOcan, Stephen Alfred
dc.date.accessioned2023-12-05T08:19:42Z
dc.date.available2023-12-05T08:19:42Z
dc.date.issued2023-06-23
dc.identifier.citationOcan, Stephen Alfred. (2023). Spatial decision-making for land valuation: a GIS and multicriteria analysis approach. A case study of Luweero town council. (Unpublished undergraduate Project Report) Makerere University; Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/17523
dc.descriptionA project report submitted to the College of Engineering Design and Art in partial fulfillment of the requirement for the award of a degree Bachelor of Science Land Economics of Makerere University.en_US
dc.description.abstractThe process of assessing the characteristics of a given piece of land based on experience and judgment is known as land valuation. The goal of land valuation is to determine a market value or benefit value that is determined primarily by its location. This emphasizes the importance of spatial factors in land valuation decision making. Many tangible and intangible land valuation factors should be considered during the valuation process in order to make an accurate estimate of a land's value. A sufficient estimation can be made by objectively analyzing a certain number of land characteristics. In this research project, seven parameters were used to determine the market value of a land: distance to schools, distance to roads, distance to police station, distance to roads, distance to health facilities, land-use type, and distance to government buildings. The shape files for each component were constructed using data supplied by the Uganda Bureau of Statistics and others created by the researcher. In the ArcGIS setting, the weights established by the questionnaire survey and the Analytical Hierarchical Process (AHP) approach were utilized to classify the aforementioned maps. The final results revealed a stunning result regarding land values. Eventually, the region was separated into land value classes and classified as extremely low, low, moderate, high, and extremely high valued areas. It may be determined that the overall area has a higher value since it is well equipped with infrastructure and other services. It may be stated that this type of model would be quite useful in the land appraisal process. Furthermore, the study advised that the model be enhanced with more parameters than the provided model.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectSpatial decision-makingen_US
dc.subjectLand valuationen_US
dc.subjectGISen_US
dc.titleSpatial decision-making for land valuation: a GIS and multicriteria analysis approach. A case study of Luweero town council.en_US
dc.typeThesisen_US


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