Using GIS Maps for Planning of Services
(2008)
This final year BSc
project was undertaken
in an effort to produce a system that would aid town planners with the
placement of service points at optimal locations within a geographic
area, as well as provide some extra features that include an
interactive Graphical User Interface and a Route Planner. This report
presents a solution to the above problem, which is to use clustering
algorithms to place the service points at optimal locations in relation
to the houses in the geographical area, and use Dijkstra’s
algorithm to implement the route planner. The report is
broken
down into the four main sections for any software engineering project;
Design, Implementation, Testing and Results. Each major
function
of the system is described fully and screenshots of the final system
are also included.
- 10,000 words - 140
pages in length
- Expertly written
throughout
- Excellent analysis
- Good use of models
& theory
- Includes .JAVA coding
- Ideal for computer
science & IT students
1. Introduction
The Main Objective
Additional
Features
Report Overview
2.
Background and
Literature Survey
Clustering
Algorithms
K-Means Clustering
Lloyd’s
Algorithm
Voronoi Diagrams
K-Max Clustering
Incremental
Version
Performance
Improvements
Route Planning
Algorithms
Dijkstra’s
Algorithm
3.
Design
Requirements
Analysis
System Design
4.
Implementation
Optimal Placement
Algorithms
Voronoi Diagram
K-Means Algorithm
K-Max Algorithm
Supermarket
Algorithm
Graphical User
Interface
Route Planner
5.
Testing
Glass Box Testing
Static Testing
Dynamic Testing
Optimal Placement
Testing
Route Planner
Testing
Black Box Testing
Test Results
6.
Results
Opening Screens
Optimal Placement
Mode
Tools Frame
Solution Frame
Route Planner Mode
7.
Conclusion and Evaluation
Evaluation
Performance
Improvements
Usability
Improvements
References
Appendix
Section
1. Select reference number ict0030
from the dropdown list
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