Abstract:
In the present context GIS become a most significant tool to represent the information. Increasing
technology is also affected to the GIS. As a result of this, GIS has been used to determine the land
valuation. The land valuation is the process of determining the price of given characteristics in certain
location. Main objective is land valuation determining the market value of the land. Land valuation is a
most time consuming activity it gets long time period to complete that task. Therefore, land valuation
field in this research study mainly focus on application of GIS in property valuation. Various factors are
influenced for the land value. The value depends on the various factors that may be tangible or intangible.
These factors can be divided in to proximity factors, environment factors and physical factors. These
factors influence to the value in various amount. Weighting system in used for categorized the map. As
per in this research study, assigning relevant wait to each factors. To weight factors, can use the pair wise
comparison method. Homagama area is selected for this research study. In this research, used eight
parameters which are determine the market value of the land. Namely proximity to main road, proximity
to minor road, proximity to railway station, land use type, proximity to town center, proximity to school,
proximity to recreational area and land zoning. . For each and every factor, the shape files were created
using the 1:10,000 data which is prepared by the Survey Department of Sri Lanka. The final map was
shown various land values depended on the above factors. Finally, the area was divided into land value
classes and categorized as low, moderate, high valued and restricted areas. The area under higher value
there are good infrastructures and other facilities. Also there are some areas under restricted areas. In
these areas there are no values in the land. It can be concluded that this kind of model would be very
much needed in the process of land valuation. The valuer can take idea about the Land before go to the
visit subject property. Further, the study suggested that the model should be enriched with a number of
parameters than this proposed model.
