This document presents a land valuation technique using GIS. The authors analyzed various land valuation factors spatially using ArcGIS to produce a land valuation map. They determined weights for factors like road access, location, utilities and produced a map showing land parcels graded by value range. The technique helps estimate land values mathematically but has limitations like not considering all legal/personal factors. It was concluded that a GIS-based nominal asset approach can effectively value land by formulating and examining spatial factors.

1. LAND VALUATION TECHNIQUE BY GIS
BY:
Suroj Dahal (suroj.rocks@gmail.com)
Durga Prasad Ojha(sumandp123@gmail.com)
Suman Bikram Panta(sumanpanta999@gmail.com)
(This project is done for partial fullfillment of third year Engineering project)
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2. Presentation Outlines
 Introduction
 Objectives
 Land Valuation Methods
 Methodology
 Result
 Project Limitations
 Conclusion and recommendations
 References
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3. Introduction
• Land is a basic resource for wealth creation.
• Efficient information on land is a good
foundation for wealth generation and national
development.
• Land valuation is the process of estimating the
value of property at a given time.
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4. Contd…
• Value and potential of property are
fundamentally determined by its location.
• Thus, GIS is very important in land valuation.
• To determine the value of a land, some land
valuation influencing factors are selected and
spatially analyzed by using GIS.
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5. Objectives
Main objective:
 To prepare a land valuation map.
Sub-Objective:
 To analyze and visualize land data to produce land
value information using ArcGIS .
 To determine the weights of different land value
factors.
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6. Land Valuation Methods
 Comparative Method
 Cost Method
 Income Method
 Nominal Asset Land Valuation Method
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7. Methodology
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Define Study Area
Define Problem
Collect Data
Formulate Objective
Pre Pre-processing data
Weight Calculation
Factor Determination
Analyze the influence factor on Residential land
values
Literature Review
Validate the model
Conclusion

8. Factors Considered
 Road Facility
 Water Facility
 Electricity Facility
 Location of Land parcel
 Transportation
 Communication
 Sewerage
 Temporal residence type
(Reference: “Survey Office Working Procedure-2060”)
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Business and Residential Area Existing Revised
S.N. Factors Weight % Weight %
1 Road Facility 10 0.20 18 0.36
2 Location of Land parcel 10 0.20 10 0.20
3 Water Facility 8 0.16 8 0.12
4 Electricity Facility 8 0.16 6 0.16
5 Transportation 5 0.10 3 0.06
6 Communication 4 0.08 2 0.04
7 Sewerage 3 0.06 2 0.04
8 Temporal residence type 2 0.04 1 0.02
Total 50 1 50 1

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1. Road Facility Existing Revised
S.N. Road Type Weight % Weight %
1 Highway 10 1.00 18 1.00
2 District 8 0.80 12 0.66
3 Inner-blacktopped 6 0.60 10 0.55
4 Inner-ortho 4 0.40 6 0.33
5 Goreto /Galli 2 0.20 4 0.20
6 Kulo 1 0.10 2 0.10
7 Not access 0 0.00 0 0.00
2.Communication
Facilities Existing Revised
S.N. Type Weight % Weight %
1 Telephone 4 1.00 2 1.00
2 no service 0 0.00 0 0.00

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4. Location of Land Existing Revised
S.N.
Location of Land
parcel Weight % Weight %
1 Health-all 4 8 1.00 10 1.00
2 Education-only 3 6 0.75 6 0.60
3 Business Centre-only 2 4 0.50 4 0.40
4
Administration centre-
1 2 0.25 2 0.20
5 No Service 0 0.00 1 0.10
5.Transportation
Facilities Existing Revised
S.N. Type Weight % Weight %
1
Public
(Highway/District) 5 1.00 3 1.00
2 Partial(Inner) 2 0.40 2 0.67
3 (Galli /Goreto Access) 0.00 1 0.33
4 No Service 0 0.00 0 0.00

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6. Sewerage Facility Existing Revised
S.N. Type Weight % Weight %
1 Public Sewerage 3 1.00 2 1.00
2 no service 0 0.00 0 0.00
7.TemporalResidence Existing Revised
S.N. Type Weight % Weight %
1 Permanent 2 1.00 1.0 1.00
2 Temporal 1 0.50 0.5 0.50

13. Table: Land Classification ( Source: Survey Department)
Class 2Ka 41-50
Class 2Kha 31-40
Class 2Ga 21-30
Class 2Gha 11-20
Class 2Nga 1-10
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14. Fig: Restriction model
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15. Fig: Suitability model
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16. Result
 A land valuation map showing the grade range of
parcels.
 Weightage of individual factors affecting land
valuation.
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17. Fig: Land valuation map 17

18. Project Limitations
 The number of land valuation factors is
uncertain.
 Legal factors and personal sentiments are not
considered in this valuation process.
 The final map is a 2D map.
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19. Conclusion and recommendations
 Economic changes are seriously affecting real
estate marketing and land values are fluctuated.
 A land valuation method which has spatial
abilities must be developed to prevent this
fluctuation.
 To increase the effectiveness of land valuation
process, a nominal asset value-based technique
can work using GIS.
 Different land valuation factors are formulated
and spatially examined to produce a land
valuation map.
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20. • Multiple Regression Analysis (MRA) identifies the
degree of importance of each variables and show
how well the model itself perform an
estimating device.
• Developing a regression model helps to determine
the land values in a mathematical way.
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21. References
 a) French N.S., The Valuation Specialized Property: A review of Valuation Methods.
 b) Yomralioglu T., Nisanci R., (2004), Nominal Asset Land Valuation Technique by GIS. FIG
Working Week 2004 Athens, Greece, May 22- 27
 c) Yomralioglu T., Nisanci R., Yildirim V., (2007), An Implementation of Nominal Asset Based
Land Readjustment, Turkey
 d) Muresan I.M, Haidu I., Imbroane A., Conceptual GIS model in determining market value for
properties
 e) Mathias L., Jaan K., (2000), INTEGRATING GIS WITH A LAND VALUATION INFORMATION SYSTEM:
SOME NON-TECHNICAL CONSIDERATIONS FOR THE ESTONIAN CASE, Delft University of Technology,
Department of Geodesy, The Netherlands, Estonian National Land Board, Estonia
 f) Nisanci R., B Uzun B., Colak H. E., (2006), Optimization of Land Valuation Factors by GIS &
SPSS, Turkey
 g) http://1ropani.com/ (access date 8th april,2014)
 h) http://resources.arcgis.com/en/help/ (access date 5th july, 2014)
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