Gráinne O’Grady
Important: * Type answers in NEW file entitled: yourONYEN_lab4_answers.doc(x).
* Please include your name and email address at the top of your lab report.
* It is preferred that the questions are included before the answers.
* You may want to print the first page of these instructions for easy reference.
* Verify that you have created a folder in yourONYEN folder for lab4.
* Be sure to map the M:\ drive whenever you are working on this lab.
* Copy entire “lab4” data folder from M:\data into another location for your use.
Part 1: Questions for Lab Report
1. Do the points and lines represent the data with the same level of abstraction? Discuss in terms of their representation of the two data layers(cities, roads) that we have added so far, and in terms of other types of data that they might represent.
Points and lines do represent with the same level of abstraction. They simplify what they are by making cities points and roads lines and these lines connect to points. Other data could be represented in the same way as cities and roads by using points and lines. Lines could be used to represent rivers or streams while points could be used to represent Hog Farms.
2. What happens when you use the identify tool? Is the option to change the layer(s) being identified useful?
When you use the identify tool, a window pops up telling information on the specific thing you have selected, whether it be a city, road, or state. It is useful because you can concentrate on specific data and it’s easier to search for specific details.
3. Why do you think the Field Definition requires that you differentiate between text and numeric data types? Why do you need to specify the field width?
The field definition needs you to differentiate between text and numeric data types because you can only do so much with either data type. Numeric stores numbers while Text has the ability to store large images, text or geometry data. Also in order to type in state names and weather patterns you needed to set the field to text in order to change it. You need to specify the field name so that it knows what text data you are changing.
4. What has changed in the table after joining?
What changed in the table after joining was that columns OID, States and Weather were added and only the names of the states and the weather data for those selected states.
5. How is the original attribute data from the States layer distinguished from the Weather data that you joined?
There is a little asterix beside the 2nd “States” label added. Like so States*
6. What would happen if you tried to join the attributes from the States layer to the Weather data (rather than joining the Weather data to the States data as you just did)?
It wouldn’t work the way you need it to. You would only have the 10 States you chose to write the weather about instead of having all 50 states listed and only specific ones would have weather, like the table in question 8.
7. Print screen of selected record
8. Print screen of new attribute table
Part 2: Questions for Lab Report
9. What does the reclassification step in Step 1 accomplish?
The Reclassification of step one makes it easier to understand the values within the legend and creates a more equal measurement of ideal areas to build the office development closer to roads.
10. Please include a JPEG of roadscore (end of Step 1). This should be a completed map (i.e. ready for display), exported into your student folder, and inserted as a picture into lab report.
11. Please include a JPEG of hydroscore (end of Step 2). This should be a completed map (i.e. ready for display), exported into your student folder, and inserted as a picture into lab report.
12. At the end of Step 3, what does the map tell you in terms of the developer’s office building project? What do the highest scores represent? What do the lowest scores represent?
The Map tells you where the most ideal locations are to start building the office development. The highest scores represent the best places to build while the lowest scores represent the worst places to build.
13. What does Step 4 accomplish towards producing the final suitability data layer?
Step 4 creates a map that shows the best places to build the office development based of location of streams and roads within the Chapel Hill area.
14. Please include a JPEG of final suitability layer (end of Step 4). This should be a completed map (i.e. ready for display), exported into your student folder, and inserted as a picture into lab report.
15. Prepare a brief executive summary (~2 paragraphs) to the developer, summarizing your results. Include a short description of the analysis you performed and indicate the locations you think would be the best choices for her office project.
This map shows the final results of where would be the best places to build you office development space. In order for us to create this map we included data of where main roads and streams were in order to incorporate where the best place is to build depending on a high traffic of possible customers/clients and where would be the safest and most stable area to build. We combined the two maps and came out with this Final Score. The best places to build would be in any of the higher level colors such as 10 and up. I would recommend areas around the UNC Campus. These are locates as the small peach blots near the center left of the map. This is where Franklin St. and Cameron Ave. are located and a great area for offices.