benefits ,
Close window

Using GIS Maps for Planning of Services

Ref: ict0030

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
Performance Improvements
Usability Improvements


Appendix Section

How To Order

1. Select reference number ict0030 from the dropdown list

2. Click the PayPal button

3. Click the "Click Here" button on the PayPal page to submit your credit/debit card payment

4. We will email your chosen dissertation in PDF format within 24 hours
Please select: 

Back to Top