QUESTION 3.1: What is the common ID from the two tables?
OBJECTID was used as the common ID from the two tables and the “Keep only matching records” join option was selected. See Figure 1.
Figure 1: Graphic showing “Join Data” window
STEP 4 Note that not all files are in the same coordinate systems. Examine the coordinate system of each file.
QUESTION 4.1: List the coordinate system of each file.
The listed files have the following coordinate systems: (See Figure 2)
Projected Coordinate System name:
NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet
Geographic Coordinate System name:
GCS_North_American_1983
- Tarrant _BlkGroup2000_13Ets
- ArlingtonCityBND
- zoning
- parcels
- NewLandUse
- freeways
- Major Attractions
Figure 2: Graphic showing horizontal coordinate system information.
The next file diverges from the above trend and only has the following coordinate system: (See Figure 3)
Geographic Coordinate System Name:
GCS_North_American_1983
- hotels
Figure 3: Graphic showing horizontal coordinate system information.
Step 5 To enable proximity analysis and overlays, you need to ensure that all the layers are in the same coordinate system.
QUESTION 5.1: Based on the information obtained above, what would be the best way to complete this step?
The easiest route would be to project the “hotels” layer into the “NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet” coordinate system. In this manner, all layers would share identical projected coordinate systems.
Do this by opening the ArcToolbox from ArcCatalog or ArcMap and selecting Data Management Tools > Projections and Transformations > Feature > Project. The file which will be projected (hotels) goes into the “Input” field, the location of the new, projected file (Proj_hotels) goes into the “Output” field, and the coordinate system you would like to use as the projection (NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet) goes into the “Output Coordinate System” field. Use the “Import” option when selecting the “Output Coordinate System”. This allows us to copy the coordinate system of a file with the same projection that you are looking for.
Step 6 Perform the map projection based on the decision made in step 5.
The “hotels” layer was projected into the new coordinate system. The new, projected layer was named “Proj_hotels”. See Figure 4.
Figure 4: Graphic showing the new "Proj_hotels" layer
Step 7 Create a field and calculate the total revenue for the last two quarters in 2006 (hot06q3, hot06q4) and another one for the first two quarters in 2007 (hot07q1, hot07q2).
QUESTION 7.1: Write your calculation equation here.
I used the field calculator to calculate the hotel revenue of the 3rd and 4th quarters in 2006 (Figure 5). I did the same to obtain the hotel revenue of the 1st and 2nd quarters in 2007 (Figure 6). Figure 7 shows the attribute table with the new results.
Figure 5: Field Calculator window showing calculations for HOT06Q3Q4
Figure 6: Field Calculator window showing calculations for HOT07Q1Q2
Figure 6: Field Calculator window showing calculations for HOT07Q1Q2
Figure 7: The "Proj_hotels" attribute table with the new fields
Step 8 Selectd hotels that have a capacity of 100 rooms or more.
Assuring that nothing was selected in the map display, I then selected “Selection>Select by attributes” and typed in the following equation: (See Figure 8)
[units]>=100
This automatically selected all hotels which had 100 rooms or more. After this, I opened the attribute table of “Projected_hotels”. The previously selected hotels were highlighted. I clicked on the “Selected” button at the bottom of the table. This filtered the results and only displayed the selected hotels in the table. Right-click on the field name “HOT07Q1Q2” and click on “statistics”. A statistics window appears showing multiple characteristics of the selected hotels. One of the characteristics is the mean (average) revenue…$1,091,800.60. See Figure 9.
Figure 8: Select by Attribute window showing equation used to select all hotels with 100 rooms or more.
Figure 9: Statistics window showing various metrics f the data, including the mean (average) revenue.
Step 9 Create a 2-mile buffer zone around the selected hotels. Create a new field named HotelB1 and assign “2” as the value for the field in the attribute table of the new buffer zone file.
Assuring that the hotels with 100 or more rooms are still selected from the previous step (step 8), the buffer tool within ArcToolbox is opened and completed as shown in Figure 10. The results of the configuration are shown in Figure 11.
- Input Features: Proj_hotels
- Ouput Feature Class: E:\REAE5327\Assignment_3\Assign3.mdb\Proj_hotels_Buf
- Linear Unit: 2 Miles
- Dissolve Type: None
Figure 11: Graphic showing 2-mile buffer zones centered on hotels with at least 100 rooms in Arlington, TX.
In order to create a new field in the new buffer zone layer, “Proj_hotels_Buf”, we open the attribute table for “Proj_hotels_Buf” and click on the “Options” button at the bottom of the table. We then select the “Add Field” option and configure the pop-up window as shown below in Figure 12.
Figure 12: Configuration of new field in “Proj_hotels_Buf” layer.
The results of the “Add Field” configuration are shown in Figure 13. Notice how the field titled, “HotelB1” has “<Null>” values.
Figure 13: Default results of adding a field.
In order to assign a value of “2” to every cell we highlight the entire field and right-click it. From the available options, we select “Field Calculator” and enter the number “2” as shown in Figure 14. The results of doing so are shown in Figure 15.
Figure 15: Results of Field Calculator shown in previous figure.
Step 10 Create a 1-mile buffer zone around the freeways. Create a new field named FWYB1 and assign “1” as the value for the field in the attribute table of the new buffer zone file.
Before proceeding, I clipped the “freeways” layer in order to only show those sections of freeway within the “ArlingtonCityBND” layer. This was done so that the 1-mile freeway buffer zones would not extend for the entirety of Tarrant County. Rather, they would be constrained to only within “ArlingtonCityBND”.
In order to do this, within ArcMap, go to ArcToolbox > Analysis Tools > Extract > Clip. Then fill in the fields as shown in Figure 16. De-select (uncheck) the “freeways” layer and the “Tarrant_BlkGrp2000_13Ets” layer and select (check) the “Arl_fwys” layer. The results are shown in Figure 17. Notice that Figure 17 shows only freeways within the Arlington city boundaries.
Figure 17 Graphic showing the freeways ONLY within the Arlington city boundaries.
- Input Features: Arl_fwys
- Ouput Feature Class: E:\REAE5327\Assignment_3\Assign3.mdb\Arl_fwys_Buf
- Linear Unit: 1 Miles
- Dissolve Type: None
Figure 19: Graphic showing 2-mile buffer zones centered on hotels with at least 100 rooms in Arlington, TX.
The red arrow points to a location where a section of freeway seems to be missing. This is not an error. This is due to an “island” of land within the Arlington city boundaries which does not belong to the city. Thus, the freeway that passes through this “island” is not taken into account in the “Arl_fwys” layer and thus no buffer is created for the freeway section that runs through this “island”. The island is shown in Figure 20. One can clearly see the “island” of land which does not belong to the city of Arlington in the following graphic.
Figure 20: Graphic showing the "island" which does not belong to the city of Arlington, TX.
Step 11 Perform Overlay.
QUESTION 11.1: Describe, in detail, the steps you perform. Specify the overlay option, input layer, overlay layer, and output layer.
The overlay option I chose was the intersect method. The purpose of intersecting the buffered Arlington freeway layer (Arl_fwys_Buf) and the Arlington city boundary layer (ArlingtonCityBND) was to limit the possible locations to only those within the intersection of both layers. The “intersect” tool window and the resulting layer (Arl_fwys_Buf_X) are shown in Figures 21 and 22; respectively.
Figure 22: Results of the intersection (overlay) process. (Arl_fwys_Buf_X layer)
The “union” tool window configuration is shown in Figure 23, the “Arl_fwys_Buf_X” layer is shown above, in Figure 22; the “Proj_hotels_Buf” layer is shown in Figure 24, and the resulting unionized layer (Arl_fwys_Buf_XU) is shown in Figure 25.
Figure 24: Graphic showing the 2-mile buffer zone surrounding hotels with at least 100 rooms in Arlington, TX.
Figure 25: Results of conducting a union on the freeway buffers and the hotel buffers.
The resulting layer (Arl_fwys_Buf_XU) shown above might look like a mess but remember that we are interested in those areas outside the hotel buffered zones AND within the freeway buffered zones.Step 12 Perform queries.
QUESTIONS 12.1: Describe, in detail, the input layer and query options that you used.
The overlay option I chose was the intersect method. The purpose of intersecting the buffered Arlington freeway layer (Arl_fwys_Buf) and the Arlington city boundary layer (ArlingtonCityBND) was to limit the possible locations to only those within the intersection
Areas outside the hotel buffered zones will have an ID of “-1”. Thus, in order to highlight these areas, we conduct a “select by attributes” query (See Figure 26). The equation used in the query is:
[FID_Proj_hotels_Buf] = -1
Figure 27: Results showing areas outside the hotels buffered zone but within the freeway buffered zone.
We then a conduct a “select by location” query (See Figure 28) in order to highlight only those areas which are within two miles of a major attraction. The results are shown in Figure 29.Figure 29: Results showing only areas that are outside a 2-mile buffered zone of existing, large hotels, within a 1-mile buffered zone of Arlington freeways, and within a 2-mile buffered zone of major attractions.
The red arrow shows potential site areas which were removed due to the added requirement of being within two miles of a major attraction.Because the rest of the map shows areas which are not longer of any interest to us, we can perform a definition query on that layer (Arl_fwys_Buf_XU) and remove them completely. The resulting map will show only the areas which most interest us.
The definition query is shown in Figure 30 and the resulting map is shown in Figure 31. The equation used in the definition query is the same one used in the Figure 27 and is repeated below:
[FID_Proj_hotels_Buf] = –1
Figure 31: Results of definition query on "Arl_fwys_Buf_XU" layer.
Then we conduct a “select by attribute” query (See Figure 32) in order to select only those areas which are zoned as “Vacant Land” or “Commercial” AND have a minimum area of 217,900 square feet. The results do not change from those shown in Figure 31.Figure 32: Final query configuration to show only those areas which are zoned as "Vacant" or "Commercial" and which are at least 217,900 square feet.
QUESTION 12.2: What is the final option? If you were to recommend a site within the area of your final option, what other factors would you also consider? Why?The final option (decision) is locate the new hotel within one of the areas enclosed by the cyan lines. These areas meet all the requirements given. Other factors which I would consider would be:
- Which side of the freeway is the location of the proposed site?
- Which side of the freeway is more accessible to customers?
- What are the current traffic conditions?
- Are there any new construction plans for the city which may affect future traffic conditions?
- What are the current levels of traffic congestion for the proposed site?
- How is traffic going to grow in the future for the proposed site?
- What is the median household income near the proposed site?
- What are the demographics of the proposed site?
- What are the future predictions of the growth and composition of the demographics of the proposed site?
- Is the proposed site in the growth pattern of the city?
- Is there public transportation near the proposed site?
- Are the parks, waterways, entertainment sites, etc. near the proposed site for customers’ use?
- What is the ground composition?
- Are there any environmental factors of concern?
Step 13 Make a copy of the hotel file and save the copy with a NEW name in the same assignment folder.
QUESTION 13.1: What is the name of the new hotel file?
The name of the new file is “FINAL_SITE”.
Step 14 Edit the new hotel file and its attribute table to include your proposed site(s) in the file. You can also add graphic(s) to indicate the site(s). Save the editing.
QUESTION 14.1: Describe the changes you have made for the features and the attribute table.
In the FINAL_SITE layer, I added six features. These six features are the proposed sites I would be considering for the real building site. Each of the six are near a major attraction and are near a freeway. I changed the attribute table in the following manner:
- For points 63, 64, 65, 66, 67, and 68 I did the following:
- Status = M
- Score = 100
- ARC street = TBD
- TaxName = TBD
- TaxAddress = TBD
- TaxCity = Arlington
- TaxState = TX
- Name = TBD
- Address = TBD
- City = Arlington
- State = TX
- Zip = 76011
- County = 220
- Units = 420, 400, 380, 350, 320, and 300; respectively.
Step 15 Create a final map showing your analysis result. Use knowledge learned in class to enhance your map production. Export the final map and insert it to the word document where you describe your analysis steps and results.
The map is shown in Figure 33 below.
Figure 33: Final image of map showing proposed locations of hotels.