Urban Planning: Location Descriptions

This week's assignment helped us use criteria provided by a couple to determine the optimal choice of neighborhood to live in when moving to Alachua county, Florida.    We were tasked with providing 3 maps, a basemap, a map showing the 4 criteria (proximity to hospital, proximity to UF, percentage of population between age 40-49, and median house value), and a final map which took these multriple considerations into account.

Process Summary

From the “Step 4: Analysis” major section, include your process for Steps 7 and 8 (weighted analysis).

1) Saved my Location2 as Location3.mxd
2) Removed all data frames (Adding a new frame and importing the Projection information first)
3) Added the 3 feature classes that we created in the previous section to the MXD (hosp, school, rightage, and value)
4) Cleaned up the symbology for these layers
5) Started Model Builder
6) Added the 4 feature classes to Model Builder
7) Added the Weighted Overlay tool to the model
8) Connected the 4 feature classes to the Weighted Overlay box
9) Answered Q13
10) Answered Q14
11) Answered Q15
12) Answered Q16
13) Made sure the scale was set in the correct (reverse) order
14) Note: when reordering the scale you have to be sure that it doesn’t retain the last value rather than replacing it with the first value.
15) Gave each feature class a 25% weight
16) Gave the output the name WEIGHT1 and stored in the GeoDatabase
17) Ran the model
18) Added Weight 1 to the display and closed the model
19) Added Places to the mxd
20) Added Sel_tracts and made hollow
21) Added the school and hospital to the project and symbolized accordingly
22) Selected the three best areas that met the criteria and exported them out as Weight1Best3
23) Set up my model with the revised parameters making sure that my scales were set properly.
24) Set up the map layout
25) Answered Q17