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UP 6830 ADVANCED GEOGRAPHIC INFORMATION SYSTEM
PROJECT PAPER
SHUN CHEUNG DECEMBER 5, 2013
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I. PURPOSE
The objective of this project is to analyze the proximity of establishments with access to alcohol could influence the rate of alcohol related vehicle accidents and apply ArcGIS to develop possible patterns or trends.
II. PROJECT DESCRIPTION
The chosen area of study is the City of Detroit and the accident data will be compiled from Year
2011 and 2012. The vehicle alcohol accident data and their associated components will be obtained from the Michigan Traffic Crash Facts (MTCF) website. The results from the query tool of this website will generate into spreadsheet tables in Microsoft Excel format. Since I obtained the accident data for 2 consecutive years, I will try to use the swipe function to visually analyze any changes in concentration of accidents from those years. The sheets of the MS Excel file will then converted to text files to create point features. With the coordinates provided for each accident location related to alcohol, the viewer can use the data to create point features layer based on the locations. Other layers of the project will be obtained from internet search from other resources.
Map Layer Attributes
Alcohol Accident Locations Type of Crash, Time of Day, Day of the Week
Counties Households, Population, Shape Area
Drinking Place Locations Name, Address, Sales Volume
Liquor Store Locations Name, Address, Sales Volume
Eatery Locations Name, Address, Sales Volume
III. METHODOLOGY
The project was completed in various components and steps as shown below:
1) Building an ArcMap Document 2) Displaying Map Data 3) Building a Geodatabase 4) Modification of Layers
5) Applying Analysis Tools a. Summarizing Statistics b. Creating Buffers
6) Performing Spatial Analysis a. Creating Point Density Maps b. Building a Raster Image
7) Performing Network Analysis a. Creating Service Area
8) Creating Page Layout
a. Assigning Title b. Creating North Arrow c. Providing Scale Bar d. Applying Extent Indicator
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1) Building an ArcMap Document The following steps will be used to construct the ArcMap document and provide coordinate system to the data frame.
1. Start ArcMap by clicking the Start button on the taskbar, and then, on the Start menu, click
All Programs > ArcGIS > ArcMap 10.1
2. On the Getting Started dialog box, click Cancel.
3. In the Menu bar, click File > Save As
4. In the Save As window, locate the UP 6830 Project folder and type City of Detroit Alcohol Accidents as the File name, and then click Save.
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5. In the Table of Contents window, right-click Layers and click Properties. Coordinate System -> Projected Coordinate System -> WGS 1984 World Mercator and click OK.
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6. In the Table of Contents, click the data frame name to City of Detroit.
7. Open the Catalog window on the Standard toolbar.
8. Drag the header of the Catalog window to the four-way arrow and click the east arrow to dock the window to the right side of ArcMap.
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9. Click the thumb-tab on the header of the Catalog window to autohide the window.
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2) Displaying Map Data
The following steps will add layers into the ArcMap document to display in the Data View.
1. In the Standard toolbar, click Add Data.
2. In the dialog box, locate the Detroit (Raw) folder and click the highlighted layers as shown below. Click Add. The layers are now added to ArcMap document as shown below on the right.
3. In the UP 6830 Project folder in the Catalog window, right-click Alcohol Accident Data 2011.csv, and click Create Feature Class > From XY Table.
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4. On the dialog box, click Coordinate System of Input Coordinates. On the Spatial Reference Properties dialog box, expand the Geographic Coordinate Systems folder and the World folder, and click WGS_1984. Click OK. Check X Field and Y Field for the appropriate coordinates from the dialog box and click OK.
5. Click the (+) folder button in the Output field. In the dialog box, locate the UP 6830 Project folder and keep Save as type as Shapefile. Type XYAccident_Data_2011 as name and click Save. Check X Field and Y Field for the appropriate coordinates from the dialog box and click OK.
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6. Perform steps 7 to 9 to create shapefile for Alcohol Accident Data 2011.csv. Click Add Data, locate the XYAccident_Data_2011 and XYAccident_Data_2012 shapefiles and click Add to create onto the ArcMap document.
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3) Building a Geodatabase
The following steps will create a new geodatabase for the project and export the new layers from the ArcMap document to the geodatabase.
1. Navigate to Folder Connections, and click Desktop > Fall 2013 > UP 6830 Advanced GIS Application. Right-click UP 6830 Project folder and click New > Personal Geodatabase.
2. In the Catalog window, right-click New File Geodatabase.gdb and click Rename. Type City of Detroit Alcohol Accidents and click Enter.
3. In the Table of Contents, right-click the XYAccident_Data_2011 shapfile, click Data > Export Data.
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4. In the dialog box, under Use the same coordinate system as, click the data frame.
5. Under Output feature class, for Save as type, click File and Personal Geodatabase feature classes. Type Detroit_Accident_Data_2011 for the Name and click Save. Click OK on the Export Data box.
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6. A dialog box will appear as shown on the next page and click Yes.
7. Repeat the steps 3 to 6 for the other layers to import to the geodatabase. In the Table of Contents, remove the shapefiles that are not related to the geodatabase. Shift + click the range of those layers and right-click Remove.
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4) Modifying the Layers The following steps will change the appearance of layers for display in Data View.
1. In the Menu bar, click Geoprocessing > Merge.
2. In the Merge window, drag the layers of Det_Liquor, Det_Eat and Det_drink to the Input Datasets white box as shown.
3. Click the (+) folder to provide the location of the new shapefile. Click the geodatabase as the location and type Alcohol_Locations as Name and click Save. Back to the Merge window and click OK.
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4. Once that process is complete, remove the three layers in the Table of Contents window.
5. In the Table of Contents, double-click the symbol below Alcohol_Locations. In the Symbol Selector window, click the down arrow under the Fill Color and click Electron gold as the color and click OK.
6. Apply step 5 to the following layers below:
Detroit_Accident_Data_2011: Steel blue Detroit_Accident_Data_2012: Beryl green
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5) Applying Analysis Tools
a. Summarizing Statistics
The following steps will create tables to perform counts on frequency of accidents during time of day and day of the week in 2011 and 2012.
1. In the Table of Contents, right-click the Detroit_Accident_Data_2012 and then click Open
Attribute Table.
2. In the Attribute Table, right-click the heading Time_of_Day and click Summarize.
3. In the Summarize table, in the third portion about the output table, click the (+) folder and then click the project folder for the location. Type TimeSum2012 as Name and change the Save as type to dBASE Table, and then click Save.
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4. Click OK in the Summarize table to generate. A window will appear asking to add to the map and click Yes.
5. In the Tables of Contents, right-click the TimeSum2012 table and click Open. In the Time
Sum table, the counts of the time of day are displayed. The results show majority of accidents occurred in the evenings that year.
6. Repeat steps 1 to 5 for the Day_Of_Week. The results are also concluded the accidents occurred mostly on the weekends that year.
7. Repeat steps 1 to 6 for Detroit_Accident_Data_2011. The results are also concluded evenings and weekends have the most accidents that year. Import the four tables into your geodatabase.
b. Creating Buffers
The following steps will create buffers with 0.5-mile radius around alcohol accident locations, perform definition query to sort buffers in the weekends and evenings with the counts of alcohol establishments in the buffers in 2011 and 2012.
1. In the Table of Contents, uncheck all layers except City_Outline. Dock and autohide
ArcToolbox window as Catalog window. Expand Analysis Tools > Proximity and double-click Buffer.
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2. In the Buffer window, under Input Features, click the down arrow for the blank row to click Detroit_Accident_Data_2012.
3. Under Output Feature Class, click (+) folder and locate UP 6830 Project folder. Type HalfMIBuf12 as the feature class and click Save.
4. Under Distance, click Linear unit and type in 0.5 in the blank row. For the unit, click the
down arrow to change from Meters to Miles, and then click OK to create the buffer layer.
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5. In the Table of Contents window, click the buffer layer HalfMIBuf12, right-click the layer and go to Join and Relates and click Join.
6. In the Join Data window, under the first portion, click Alcohol_Locations. In the third portion, click the (+) folder. In the Saving Data window, choose Save as type to File and Personal Geodatabase feature classes and locate the geodatabase. Type HalfMIBuf12_Al for Name and click Save.
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7. Match the Join Data window as shown below. Click OK.
8. Now the buffer layer has the count of alcohol establishments within the buffers. You can change the color of the buffer layer as desired.
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9. Right-click Count_ and click Properties as shown on the next page.
10. In the Field Properties window, Type Al_Loc_Count for Alias, and then click OK.
11. In the Table of Contents window, remove HalfMIBuf12. HalfMIBuf12_Al is currently covering the point features. To rearrange the order of the layers, click List by Drawing Order, which is the first button from the left in the Table of Contents window. Drag the buffer layer below the point features to uncover all features
12. Right-click HalfMIBuf12_Al and click Properties. In the Layer Properties window, click the
Display tab and change Transparent to 20% as shown.
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13. Click the Symbology tab and match as shown.
14. Click the Definition Query tab. From the Summary Statistics, it was determined that
weekends and evenings have the most alcohol accidents. The next step is to use Definition Query to display buffers with those time.
15. In the Definition Query window, type ( [Time_Of_Da] = 'Evening' AND [Day_Of_Wee] =
'Saturday') OR ( [Time_Of_Da] = 'Evening' AND [Day_Of_Wee] = 'Sunday') for the query and then click OK. Then click OK in the Layer Properties window.
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16. The resulting buffer map shows buffers on the weekends and evenings.
17. Repeat steps 1 to 15 to create a buffer layer for Detroit_Accident_Data_2012. Change the
layer color to Red as shown.
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6) Performing Spatial Analysis
a. Creating Point Density Maps
The following steps will use definition query on the alcohol establishments to only include data in weekends and evening and create point density maps in 2011 and 2012.
1. In the Table of Contents, uncheck Alcohol_Locations, HalfMIBuf12_Al and
Detroit_Accident_Data_2012. Right-click Detroit_Accident_Data_2011 and click Properties. In the Definition Query window, type ( [Time_Of_Da] = 'Evening' AND [Day_Of_Wee] = 'Saturday') OR ( [Time_Of_Da] = 'Evening' AND [Day_Of_Wee] = 'Sunday') for the query and then click OK. Then click OK in the Layer Properties window.
2. On the right side of ArcMap document, open up ArcToolbox tab. Expand Spatial Analyst
Tools and also Density. Double-click Point Density.
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3. In the Point Density window, click the down arrow for Input Features to select Detroit_Accident_Data_2011. Click the (+) folder for Output raster and locate your geodatabase. Type PD_Acc_11 as the Name and click Save. Match the Point Density window as shown below. Click OK.
4. The resulting raster image as shown below. Currently there are 9 classifications for this layer, we will reduce them to 5.
5. In the Table of Contents window, right-click the PD_Acc_11 > Data and click Export Data to export the layer to geodatabase and type Point_Density_Accident2011 as Name. Right-click the new layer and click Properties. In the Layer Properties window, click the Symbology tab. On the left column, click Classified. For Classes, click 5 and also change the label as shown on the next page. Click OK.
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6. The resulting raster image has a slight improvement as shown.
7. Repeat steps 2 to 5 for Detroit_Accident_Data_2012. Type Point_Density_Accident2012 as the point density layer’s name. With the two point density maps, you can compare for any similarity or difference on the pattern of the cluster of accidents.
b. Building Raster Image
The following steps will create a raster image of the alcohol establishments in City of Detroit.
1. In the Table of Contents, right-click City_of_Detroit_Outline, and then Join and Relates > Join.
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2. In the Join Data window, under the first portion, click Alcohol_Locations. In the third portion, click the (+) folder. In the Saving Data window, choose Save as type to File and Personal Geodatabase feature classes and locate the geodatabase. Type City_of_Detroit for Name and click Save. Match the Join Data window as shown on the next page and click OK.
3. Open the ArcToolbox window on the Standard toolbar.
4. Drag the header of the ArcToolbox window as Catalog window before to the four-way
arrow and click the east arrow to dock the window to the right side of ArcMap. Click the thumb-tab on the header of the Catalog window to autohide the window.
5. In the ArcToolbox window, expand Conversion Tools and also expand Raster. Double-click
Polygon to Raster.
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6. In the Polygon to Raster window, click the down arrow for Input Features to select City_of_Detroit. Click the down arrow for Value field and select Count_. Type in 25 for Cell size. Click the (+) folder for Output Raster Dataset and locate your geodatabase. Type Poly_Ras_Detroit as the Name and click Save.
7. Match Polygon to Raster window as shown. Click OK.
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8. The resulted raster image has too many classifications. The next step is to reduce the classifications and provide uniform colors.
9. In the Table of Contents, right-click Poly_Ras_Detroit and click Properties.
10. In the Layer Properties window, click Symbology tab. In the Symbology tab, under Show,
click Classified. Match the values and color as shown on the next page. Click OK.
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11. In the Table of Contents, turn off all layers except the new raster image to view the result.
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7) Performing Network Analysis
a. Creating Service Area
The following steps will create 5-mile service area with 1-mile interval from 4 of the Henry Ford facilities to the accident locations through street network.
1. In the Standard toolbar, click Add Data.
2. In the Add Data window, locate UP 6830 Project folder and click
HFHS_Facilities_Detroit.shp, and then click Add. In the Table of Contents, export the new layer to the geodatabase as discussed earlier. Type in Henry_Ford_Facilities as Name.
3. In the Table of Contents window, click the symbol under the newly imported
HFHS_Facilities_Detroit. In the Symbol Selector window, change the symbol to Star 1, color to Mars Red and Size to 25. Click OK.
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4. In the Catalog window, expand the E:\ folder > data to locate the streets dataset as shown
below. The streets layer is imported to the ArcMap document. Turn off the layer to reduce loading time.
5. In the Menu bar, click Customize > Extensions.
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6. In the Extensions window, check Network Analyst as shown below, and click Close.
7. In the Menu bar, click Customize > Toolbars > Network Analyst to activate the toolbar.
8. On the Network Analyst toolbar, Click Network Analyst > New Service Area.
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9. In the Table of Contents window, the layers of Service Area are automatically generated.
10. On the Network Analyst toolbar, click the Network Analyst window as shown below on
the left. The right side is the opened Network Analyst window.
11. In the Network Analyst window, right-click Facilities and click Load Locations.
12. In the Load Locations window, click the down arrow for Load From and click
HFHS_Facilities_Detroit. For Search Tolerance, type 10 and change the unit to Miles as shown below, and then click OK.
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13. In the Table of Contents window, right-click Service Area and click Properties.
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14. In the Layer Properties window, click the Analyst Settings tab. Match the information as shown below.
15. In the Layer Properties window, click the Polygon Generation tab. Match the information
as shown below, and then click OK.
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16. In the Table of Contents, right-click Service Area and click Solve. The service area will generate once the process is complete.
17. The resulting service areas have a total of 5 intervals based on 1-mile interval. In the
Table of Contents window, right-click Polygon > Joins and Relates and click Join.
18. In the Join Data window, under the first portion, click Detroit_Accident_Data_2011. In the third portion, click the (+) folder. In the Saving Data window, choose Save as type to Shapefile and locate the UP 6830 folder. Type Service_Area_1_5_MI11 for Name and click Save. Click OK.
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19. In the Table of Contents, right-click Polygon > Data and click Export Data.
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20. Change the coordinate system to the data frame and save the service area as Service_Area_1_5_MI2011 and click Save. Click OK.
21. In the Table of Contents window, remove the Service Area layers. Right-click
Service_Area_1_5_MI2011 and click Open Attribute Table. Right-click Name and click Sort Ascending.
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22. In the Table, a list of the counts of accidents in each mile is calculated.
23. In the Table of Contents window, remove the Service Area layers. Right-click
Service_Area_1_5_MI2011 and click Properties. In the Layer Properties window, click the Symbology tab. Match the contents as shown below. Click OK.
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24. Under Color Ramp, click Symbol and click Properties for All Symbols.
25. In the Symbol Selector window, click No Color for Outline Color. Click OK.
26. Click the Display tab. For Transparent, type 40 and click OK.
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27. Type Miles for the unit of the color scale.
28. Match the resulting service area as shown below.
29. Repeat steps 8 to 28. Type Service_Area_1_5_MI2012 as Name and apply desired color ramp.
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8) Creating Page Layout
The following steps will create the layout of the page. Map items such as title, north arrow, scale bar and legend will also be included.
1. In the Table of Contents, turn off all layers except City_of_Detroit,
Detroit_Accident_Data_2011, Half_MI_Buffer_11_Al and Alcohol Locations. In the bottom of ArcMap document, click Layout View.
2. The layout view is currently in portrait view. The following steps will adjust the
orientation and add a title, a north arrow, a legend and a scale to the layout.
3. On the Menu bar, click File and click Page and Print Setup.
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4. In the Page and Print Setup window, change Name to Adobe PDF. For paper orientation, click Landscape. For the units of Width and Height, change to Inches and then click OK.
5. Currently the data frame does not match the layout of the page. Right-click the data frame and click Properties.
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6. In the Data Frame Properties window, click the Size and Position tab. Under Position, type 0.5 in for both X and Y values. Under Size, type 10 in for Width and 6.5 in for Height, and then click OK. Now the margins of the data frame are 0.5 in within the page.
7. In the Table of Contents window, right-click City_of_Detroit and click Properties. In the
Data Frame Properties window, click the General tab. For Display, change Meters to Miles, and then click OK.
a) Assigning Title 1. In the Menu bar, right-click and click Draw to activate the Drawing toolbar.
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2. In the Drawing toolbar, click Rectangle.
3. Your cursor will turn into a crosshair. Click and drag to create a rectangle with a default
color of yellow as shown on the left. Right-click the rectangle and click Properties. In the Properties window, click the Size and Position tab. Match as shown on the right and click OK.
4. In the Menu bar, click Insert and click Title. In the Text window, type Buffer Map for Accidents in 2011 to Alcohol Establishments (Weekends and Evenings) and then click OK.
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5. Click the title and right-click the title, and then click Properties.
6. In the Properties window, click Change Symbol. In the Symbol Selector window, change the font size from 24 to 22, and then click OK. Click OK in the Properties window. Adjust your title to the center of the rectangle as possible.
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7. Right-click the rectangle and click Properties. In the Properties window, change the fill color to Lepidolite Lilac, and then click OK.
b) Creating North Arrow
1. In the Menu bar, click Insert and then click North Arrow.
2. Click on ESRI North 2 and check Scale to fit page. Click OK.
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3. In the data frame, drag the north arrow as shown.
c) Creating Scale Bar
1. In the Menu bar, click Insert and then click Scale Bar.
2. In the Scale Bar Selector window, click Scale Line 1 and check Scale to fit page. Click OK.
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3. Drag the scale to the bottom right corner of the data frame. Currently the scale is in 3-mile interval.
4. Click on the middle green square on the right side and drag to the left until the scale is in
1.25-mile interval. Drag the scale bar back to the bottom right corner once completed.
d) Applying Extent Indicator
1. Switch back to Data View. In the Table of Contents, condense all layers. On the Menu bar, click Insert and then click Data Frame.
2. In the Table of Contents window, rename the data frame to Michigan. Right-click
Michigan and click Properties. Coordinate System -> Projected Coordinate System -> WGS 1984 World Mercator and click OK.
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3. Right-click Michigan and click Activate to set as current data frame.
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4. In the Catalog window, locate the shapefile called States in the UP 6830 Project folder. Drag that shapefile to the Table of Contents under Michigan.
5. In the Table of Contents, right-click States and click Open Attribute Table.
6. In the table, locate Michigan under STATE_NAME and click that row to highlight it. Close
the table.
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7. In the Table of Contents, right-click Michigan > Data and click Export Data.
8. In the Export Data window, Under Export, choose Selected features. Under Use the same
coordinate system as, choose the data frame. Click the (+) folder to save the shapefile to the geodatabase. Type Michigan as the Name and click Save as shown on the next page. Click OK.
9. In the Table of Contents, remove States. Check Michigan and the layer is shown on data view.
10. Switch back to Layout View. Right-click the Michigan data frame and click Properties. In
the Data Frame Properties window, click the Size and Position tab. For Position, type 0.5 in for both X and Y. For Size, type 2 in for Width and Height.
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11. Click the Extent Indicators tab. Under Other data frames, click City of Detroit and the (>>)
to transfer it to be shown as extent indicator. Click OK.
12. In the Table of Contents, right-click Michigan and then click Zoom To Layer to maximize
the view of the layer in the data frame. Change the color of the layer to Soapstone Dust.
13. On the Menu bar, click Insert and then click Legend.
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14. In the Legend Wizard window, use the arrows in the middle column to add or remove layers from the legend. Match as shown for legend item. Click Next.
15. For Legend Title, remove Legend and leave blank. Select size 12 font and click Finish.
16. In the Table of Contents, rename Half_MI_Buffer_11_Al to Half-Mile Buffer 2011 and the
scale name to No. of Alcohol Establish. Right-click the data frame City_of_Detroit and click Properties. In the Data Frame Properties window, click the Data Frame tab. For Extent, select Fixed Scale. For Scale, type 1:200,000 and click OK. This will prevent the object in Data View to change scale.
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17. In the Menu bar, click File and click Save As. Locate the UP 6830 Project folder. Type Buffer Map for Accidents in 2011 as File Name and click Save. In the City of Detroit data frame, remove all layers except Detroit_Accident_Data_2011, Half-Mile Buffer 2011 and City_of_Detroit and save the ArcMap document again.
18. Use the ArcMap document named City of Detroit Alcohol Accidents as a template to create a buffer map for accidents in 2012. Rename the title to Buffer Map for Accidents in 2012 to Alcohol Establishments (Weekends and Evenings). In the Table of Contents window, remove all layers except Detroit_Accident_Data_2011, Half_Mi_Buffer_12_Al and City_of_Detroit. Rename the buffer to Half-Mile Buffer 2012. Follow steps 34 to 38 to create a new legend and a new ArcMap document named Buffer Map for Accidents in 2012. Repeat such step to create the other mappings.
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IV. CONCLUSION
The creation of mappings for alcohol accidents in 2 consecutive years provided different analysis options for the results in visual and numerical perspectives. In the summary statistics, it was determined that alcohol accidents occurred majority in the weekends and evenings.
From the knowledge of that information, I created buffers around alcohol accident locations to collect the sum of nearby alcohol establishments within half miles. The darker circles represent higher amount of establishments within the accident locations. Mappings for both years concluded to have highest amount of establishments within accidents in downtown Detroit as shown below:
Buffer Map 2011 Buffer Map 2012
In the point density analysis, the darker circles also represent the highest concentration of
accidents within the area. Mappings for this scenario however is different than the buffer mappings.
The high concentration of accidents are away from downtown Detroit and not uniform between
mappings. The alcohol accident data was used to creating the mappings as shown below:
Point Density Map 2011 Point Density Map 2012
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Furthermore, the next analysis performed was the creation of raster image of the number of
alcohol establishments in City of Detroit. The raster image is agreed with the buffer mappings that the
number of alcohol establishments are in downtown Detroit with the darker portion represents highest
concentration as shown below:
Raster Image of Alcohol Establishments
Lastly was the creation of the service area mappings for 2011 and 2012. The service areas were
created 5 miles away from the 4 Henry Ford facilities in City of Detroit as shown:
Service Area Map 2011
Service Area Map 2012
The sum of accidents for each medical institution and year as followed:
Facility Year
2011 2012
Henry Ford Medical Center (Detroit Northwest) 114 161
Henry Ford Medical Center (New Center One) 210 234
Henry Ford Hospital 201 222
Henry Ford Medical Center (Harbortown): 126 150
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From the results of the table, the institutes that are centralized in Detroit (New Center One and Henry Ford Hospital) have the highest concentration of accidents. This indication matches the high concentration in the point density maps. From previous analysis, downtown Detroit has the highest number of alcohol establishments, however, the closest medical institution in the area (Harbortown) has the least amount of accidents. This indicates the possibility of drivers heading home after attending those alcohol establishments in downtown Detroit or other unknown possibilities. From the findings, the concentration of alcohol establishments was not determined to increase the amount of drunk driving accidents in the area.
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V. APPENDIX
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Name Feature
Type No. of
Features Scale
Coordinate System Key Attributes
Geographic Projected
Alcohol_Locations Point 1488 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
ADDR CITY ZIP
City_of_Detroit Polygon 878 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Shape POP_C Al_Loc_Count
Det_drink Point 205 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
CONAME ADDR NUMP_EMP
Det_Eat Point 990 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
CONAME ADDR NUMP_EMP
Det_Liquor Point 293 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
CONAME ADDR NUMP_EMP
Detroit_Accident_Data_2011 Point 486 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Acc_Month Day_Of_Week Time_Of_Day
Detroit_Accident_Data_2012 Point 552 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Acc_Month Day_Of_Week Time_Of_Day
Half_MI_Buffer_11_l_Loc Polygon 486 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Day_Of_Week Time_Of_Day Al_Loc_Count
Half_MI_Buffer_12_l_Loc Polygon 552 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Day_Of_Week Time_Of_Day Al_Loc_Count
Henry_Ford_Facilities Point 4 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Name, ADD_ Type
Michigan Polygon 1 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
SUB_REGION SQMI
Point_Density_Accident2011 Raster 1 1:200,000 WGS_1984_World_Mercator
N/A
Point_Density_Accident2012 Raster 1 1:200,000 WGS_1984_World_Mercator
N/A
Poly_Ras_Detroit Raster 18 1:200,000 WGS_1984_World_Mercator
Count
Service_Area_1_5_MI2011 Polygon 20 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Name Count
Service_Area_1_5_MI2012 Polygon 20 1:200,000 GCS_WGS_1984 WGS_1984_World_Mercator
Name Count
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