1. Use of GIS in house
hunting
PRESENTED BY : -
AKHIL PRABHAKAR
(IMT GPT IV YEAR)
NIKHIL VARSHNEY
(B.TECH. CIVIL III YEAR)
NAVIN DINESH B
(B.TECH. METALLURGY V YEAR)

2. AIM/OBJECTIVE
To collect and manipulate data required to provide
assistance in house hunting using GIS technology
Area of interest – Roorkee
Latitude - 29.8667° N
Longitude - 77.8833° E

3. CATEGORY OF BUYER
1. Requirement:
- Example: 1 or 2 or 3 BHK
2. Budget:
Example: buyer is from HIG, MIG or LIG.

4. CONDITIONS
Several necessary conditions were identified on the basis
of NATIONAL BUILDING CODE for residential
apartments – 2005 by Bureau Of Indian Standards
1.Provision of lift- A building at a height of more than 13
metres is to have a lift that starts from the ground floor
2.Fire safety - In the case of apartment buildings exceeding
three storeys above ground level, a certificate of approval
from the Director of Fire Force or an officer authorized
by him

5. CONDITIONS
3. Plumbing services - Plumbing has to be attuned to
the general design of the building. Many technical
aspects such as water pressure, venting and concepts
of wet and dry areas in toilets have to be looked into.
4. Other Building Requirements - No Objection
Certificate (NOC) from Fire Service, Pollution
Control Board, Water Supply and Sewage
Department and other concerned departments.

6. CONDITIONS
As per choice of buyer several other optional conditions were
identified on basis of survey by economic times (
http://economictimes.indiatimes.com/slideshows/real-estate/factors
)
1. Must be away from Industrial area:
House > 5km from Industrial area (Source: Environment codes)
Logical command= NOT < 5km;
Weights will be awarded. Eg.: For 5-10 Km Weight= 0.8
2. Access to public transport:
House must preferably lie within 500 m from a point from where modes of
public transport may be accessed. Weights
will be designed on the basis of distance from a main road and frequency of the
public transport system.

7. CONDITIONS
3. Must be near hospital
Weighted Approach.
Buffer of 2kms around a major hospital  Wt: 0.8;
within 2-4 kms  Wt: 0.6; within 4-5 kms  Wt: 0.4; >5kms  Wt: 0.2
4. Near a market place
Within 1km  Wt: 0.8; 1-2 km  Wt: 0.6;
2-5 km  Wt: 0.4; >5 km  Wt: 0.2
5. Preferably, near a school too
within 500 m  Wt: 0.8; 0.5-1.5 km  Wt: 0.6;
1.5-3km  Wt: 0.4; >3 km  Wt: 0.2

8. CONDITIONS
6. Must be near recreational sites like parks, sports
stadium, etc
Within 500m  Wt: 0.8; 0.5-1km  Wt: 0.6; >1km 
Wt: 0.4
7. Low crime rate
- Roorkee has 2 police stations. -
Based on their area of coverage, we can divide Roorkee into 2 different
zones.
- From police stations and demographic map, we can get information of
number of criminal cases registered and population of the zone.
- The zone with lesser number of per capita cases
will be preferred over the other.
- Weightage of 0.6 will be given to the preferred
zone and 0.4 to the other zone.

9. CONDITIONS
Each decision making in GIS will create a new layer.
For conditions which are a must (like conditions 1,2,
3 and 7), intersection will have to be applied.
For the remaining conditions, ‘and or’ must be
applied.
Each operation will create a new layer which will be
used for applying next condition.

10. DATA REQUIRED
Topographical map of Roorkee
 Scale 1:50,000
Satellite image of Roorkee area
 Satellite sensor
Property availability index
 List of properties on sale with cost
Map of schools , hospitals , market place , parks in
Roorkee

11. SOURCES
Topographical map – Survey of India
Satellite image of Roorkee – Satellite data
Property availability index – www.99acres.com and
field survey
Map of schools, hospitals, market place, parks – field
survey and map my india
Police station

12. SCALE AND MAP ACCURACY
SOI map – 1:50000
Accuracy – 0.25mm X Scale factor
Satellite image – Resolution around 1m.

13. TOOLS
Using ArcGIS, the first objective is to establish a
geodatabase and subsequent feature datasets for
data consolidation and organization.
ArcCatalog will be used to establish a common
projected coordinate system for all spatial data
which are then appropriately grouped as feature
classes according to category.

14. TOOLS
Geo – referencing
Satellite image with topo sheet

15. TOOLS
Clip
Roorkee area from satellite image

16. TOOLS
Personal Geodatabase
Feature Datasets –
Roads – Name , Type, Modes of public transport
Schools – Name , Type
Parks – Name , Type , Area
Houses – Type , Certification , Cost
Hospital – Name , Type
Market place – Name , Type

17. TOOLS
Digitizing
Roads
Hospitals
Schools
Parks
Hospital
Market place

18. TOOLS
Buffer

19. TOOLS
Analysis
Intersection of
various layers

20. RESULT
Suitable and economical house complying with all
NBC standards and personal preferences is identified

21. THANK YOU