PGSM
GIS
Consultants
Project Manager
Aaron Preine
GIS Field Technician
John Gaddis
Ryan Matthews
Aaron Preine
James Simon
GIS Analysts
John Gaddis
Ryan Matthews
James Simon
Presentation Designers
John Gaddis
James Simon
Aaron Preine
Webmaster
James Simon
City Wide Analysis of Wireless Networks
In San Marcos, Texas
Prepared By
PGSM GIS Consultants
Introduction
Project
Cover Page
Summary
Purpose
Scope
Proposal
Data/Software
Methodology
Implications
Budget
Timetable
Final
Deliverables
Conclusion
Participation
Summary
San Marcos is a rapidly growing college town located in the middle of the Austin-San Antonio Corridor. The city is growing not only because of its location, but also because Texas State University is growing. The school's enrollment has been steadily increasing for several years and is now up to nearly 28,000 students. With a 76.3% retention rate of freshmen to sophomores, there are more students living off campus who are going to require an internet connection. The city itself has a population of around 35,000, which means that there is somewhere in the neighborhood of 60,000 people in the San Marcos area. This area of the country is also at the forefront of techonolgical advancement; so the population will require fast and convenient internet services.
Purpose
The purpose of this project is to create a high resolution map that defines existing wireless networks in the city of San Marcos so that HooDooNet Inc. can expand its own wireless services with the city. Also, the existing networks in San Marcos must be analyzed to find any relation to variables such as population density and income.
Scope
The scope of this project is within the city limits of San Marcos, Texas.
Data
This project will contain both primary and secondary data.
Primary Data: Project Objective
Existing wireless network located in the city of San Marcos, Texas. To collect this data we will use a GPS unit hooked up to a laptop.
Secondary data:
Census2000 |
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Software
Methodology
The methodology will be divided into five parts: data collection, data consolidation, information exploration, various analyses, and creating a digital map of the area in question. This section will detail what all five parts mean and how we will complete them. We will first collect information on the networks' locations using a Global Positioning System and NetStumbler, a program that tracks wireless networks, and is put into Microsoft Access in order to create a database of the information.
In order to finish creating the database, we will have to consolidate many of the points into one, because the NetStumbler program may come into contact with the same wireless network more than once and therefore record the same point many times over. Once the information has been consolidated and the database has been finished, we will then take the newly created information and export it in to our Geographic Information System, ArcGIS 9.1.
In order to make the necessary map(s), we will have to perform a few analyses. First, we will perform a Population Analysis in order to locate the areas of the highest and lowest density of the population. We will then perform a Spatial distribution analysis of Networks in order to find the areas of highest and lowest density of wireless networks. Finally, we will perform an analysis of both of these areas in order to determine the best place for HooDooNet to locate its services. Using the information that we have put into ArcGIS 9.1, we will make detailed map(s) showing the spatial distribution of wireless networks in San Marcos within the city limits and where to locate new services.
Implications
The data collection for this study will involve identifying areas
within
Budget
TOTAL
Data Collection
Total hours (10 hrs/wk*10wks*3consultants) 300
Hourly Pay $30.00
Total $9,000
Data Analysis
Total Hours (10 hrs/wk*10wks*3consultants) 300
Hourly Pay $30.00
Total $9,000
System Management
Project Manager
Total Hours 100
Hourly Pay $85.00
Total $8,500.00
Equipment Costs
Supplies ($200/workstation*4+$20/antenna
*1+$150/laptop*2+$200/GPS Unit*2) $1,520.00
Maintenance ($250/workstation*4+$200/
laptop*2) $1,400.00
Depreciation ($8,200*[total equipment value]
/36[equipment life in months]*2.5[months equip
will be used for project]) $569.45
Total Equipment Costs $3489.45
Data
Purchased Data $0.00
ESRI Software License (10 wks) $1,750.00
Total Data Costs $1,750.00
Travel Expenses
200 miles @ $1.50/miles $300.00
TOTAL COSTS
$32,039.45
Timetable
Data Collection:
PGSM will begin secondary data collection on October 2nd and primary data collection on the 3rd. Data collection will take roughly two weeks, with the main portion of the time spent in recording primary data.
Data Process:
Data processing will take the most time with the conversion of the primary data into a tabular format that is easy to read and work from. This process should begin October 12th and finish by November 6th.
Data Analysis:
Data analysis will begin during data processing on October 18th and should finish by November 6th.
Data Interpretation:
Observing the patterns and results will consume over one week of time, from November 6th to November 15th.
Final Deliverables & Review:
TASKS |
Oct 2nd |
Oct 12th |
Oct 18th |
Nov 6th |
Nov 15th |
Nov 29th |
Dec 8th |
Data Collection |
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Data Process |
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Data Analysis |
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Data Interpretation |
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Final Deliverables & Review |
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Final preparation and presentation constructions will begin during the end of our data interpretation and will require a decent amount of time in order for us to present our findings clearly and accurately.
Final Deliverables
PGSM GIS Consultants will provide the following upon completion:
Conclusion
With a rapidly
developing community and the strong demand of a fast internet provider, the
opportunity for a new service is plentiful. Wireless technology is a growing
trend because of increased reliability and convenience. Observation of current
wireless networks by PGSM and comparison to city variables will create an image
of what sections in
Participation
Cover Page - Aaron Preine
Title Page - John Gaddis
Introduction
Proposal
Website - James Simon
Conclusion - Aaron Preine