• Home
• Introduction
• Data Collection
• Methodology
• Spatial Analysis
• Results
• Problems
• Sources

Problems

It is important to remember that there are many limitations and errors that occur during a project. These errors are important to learn from and may be encountered again during future projects.

The project was based on personal assumptions. It is important to remember that the model did not necessarily use the right factors and constraints. Also there is not enough data or knowledge of the volleyball demographic and locations. The assumption that people age’s 15 to 39 was considered to be active participants of volleyball. However, almost all ages are participants of volleyball. Therefore, we cannot know the exact suitable location for a facility based on the demographics of age.

There are a number of limitations in this project. First, there is not enough knowledge of the volleyball locations. Existing facilities were only geocoded on the map if they had volleyball drop ins and leagues. Research was done to find popular existing facilities that have high active levels of play. However, some facilities may have been missed because the demand for volleyball is low. Therefore, the area of suitability may contain existing facilities that do not meet the requirements. As a result, this may not have been the most suitable land to build on since existing facilities may be present.

Secondly, the census data collected from the data warehouse in the S: Drive was from 2001. The census data is not up to date. Construction and population has grown every year. If we were to compare the 2001 census with the 2006 census it should be completely different.

When doing the MCE, the constraints and factors were based on personal assumptions. Other factors such as income, locations of schools, and number of students in an area could be have been considered. The constraints and factors chosen influence the suitable location of a new volleyball facility. In the pairwise comparison matrix tables, more weights can be given to the importance of a factor. Factors that are given more weights are considered to be more important than the others. As a result, different weights that are given to different factors create different suitable locations.

The final output image for the best suitable area, based on age, encountered an error. Logically speaking, my final output image is correct and the output was created by decision wizard based on the weights I have given. However, when comparing the image to the fuzzyslope, the area suitable does not completely match to the suitable areas on the slope. This is possibly due to the fact that I did not put much importance on slope as a factor. If I have changed the weights, the image will be different.

The project did not encounter any operational problems in ArcGIS.