1. Daybreak Development Professor: Ray Montgomery Student: Nury Jongejan
Class: Geo-1780
April 26, 2017

2. Daybreak Development
From 2007 to 2017

3. Export and save Images to ArcMap
Tools Used
Export and save Images to ArcMap
Georeferenced Images
Classify Images
Ran Statistics
Legends
Coordinates:
40° ’N
112° 0.175’W

4. Two-year Comparison
Daybreak 2007
Daybreak 2009

5. Comparison 2010 to 2011
Daybreak 2010
Daybreak 2011

6. Two-year Comparison
Daybreak 2013
Daybreak 2015

7. Daybreak Today
Daybreak 2017
South Jordan Statistics

8. Housing and Population Comparison
South Jordan Housing
South Jordan Population

9. Comparison of Schools Vs. Students

10. Citations
City-data.com
Census.gov
Google Earth
Daybreakliving.com

11. Reflection
For my final project, I wanted to compare the population growth over time in Daybreak from 2007 to The challenges that I experienced to complete this project were to find the specific information I needed. There are a lot of free websites that have special data, but you have to try to sort through tons of information, and sometimes you can’t find what you are looking for. I was able to find data in google earth, but I had a hard time manipulating the information after I transfer the maps to ArcMap. At first, I could georeference my images because my toolbar, was grayed out. I remember having issues with this before so I was able to activate the toolbar when I exported the data by going to the data frame properties and adding information in the coordinate system. Then I decided to use ArcMap for image classification; this process wasn’t as hard as trying to georeferenced my Maps but It can be time-consuming because depending on how many images you have, you have to follow a lot of steps to classify all the images. What I decided to do is just go to my layer properties and change red band to band three, Green to band two and blue to Band one to practice the technic. This allows me to see the false colors on all my images. I didn’t name my bands with urban, grass or water because my intention was examining the growth over time and not see where my green areas were in contrast to my urban areas. I wanted to do legends on my maps, but my option to do that was grayed out. I did research on how to activate this option, but I couldn’t figure it out. Also, I ran the statistics for my images.
To avoid errors, I have to find better raster data, I’m glad I was able to find data for my project on google earth, but raster data in a website like ESRI data and Maps or Data.gov seem more complete. I wish I were better at extracting the information that I needed for my project than what I can right now. I have another two classes that I’m doing Essays, Presentation, and testing and working full time. I wish I had more time to do more research; there is only so much I could do with the time I had. Professionals that work in this field definitely spend a lot of time manipulating the information in raster data to get what they want out of the data they have. Also, they are faster at following the process to manipulate the information. I found myself going back to my notes a lot, and even watching videos to refresh my memory to do some of the processes. Overall I feel that I was able to do the basics on practicing the tools I learned in this class. I now feel that I can use and understand data in a way I didn’t know before.