GIS 4930 / 5935

Project 2: Network Analyst

GIS 4048 Urban Planning

Location Decisions

Alachua County, FL

Example of process summary from lab

Step 4: Analysis 8

1)      Added county, publands, places, roads and seltracts.

2)      Symbolized publands with unique value MGRINST field.

3)      Added new basemap layer and dragged all layers under new basemap.

4)      Right clicked basemap layer and selected Analyze Basemap layer.

GIS 4048 Urban Planning

Zoning

Example of process summary from lab

OBJECTIVE 2:

1)      Opened blank template and saved as Parels.mxd. Set environments.

2)      Added Parcels.

3)      Opened Parcel_1mi.csv in MS excel and deleted ARCIMS_SHAPE column. Added it to the map.

4)      Joined Parcel_1mi.csv to ParcelID.

5)      Select by Attributes for Parcel 14850-000-00.  Exported as Zuko_Parcel

6)      Select by Location selected all parcels the intersect zuko parcel. Exported as ADJ_parcel..

7)      Added Zoning. Clipped Zoning to ADJ_Parcel.

8)      Interested Zoning Clip with Parcels caused 25 OBJECT ID. I used an XY input of 2 feet with gave 10 Parcel ID’s. I deleted the one very small parcel.

9)      Added all map elements and exported.

GIS 4048 Homeland Security

 

 Protect NORAD

Examples of process summary from lab

i.       Generate Hillshade

1.       Added the 3D Analyst tool to the toolbar

2.       Added the Elevation layer

3.       Selected Hillshade in search window

4.       Selected the Elevation layer and chose RW_COUA_DEM as the input layer.  Input 270 for the azimuth and 39 for altitude. Checked Model Shadows and accepted Z factor.

5.       Saved output raster as RW_HS613074PM

6.       Added Orthoimagery layer and dragged above hillside layer.

7.       Increased transparency to 60% for the Orthoimagery layer.

8.       Everything worked well and the shaded area near the entrance was very noticeable.

ii.       Generate Viewshed

1.       Chose RW_COUA_DEM in the 3D analyst toolbar

2.      Zoomed to extent of elevation layer and turned off Orthoimagery layer.

3.      Clicked search window icon and searched: Viewshed. Chose the first Viewshed option.

4.      Selected RW_COUA_DEM as input surface and RW_Surveil_pts as the Input Point or polyline observer feature. Accepted Z factor and output cell size and saved output as RW_viewshed0.

5.      Upon completion and addition of layer I increased the transparency of the RW_viewshed0 to 50%

6.      Opened the RW_Surveil_pts attribute table and added a field named; OFFSETA, short interger.

7.      Started an edit session for RW_Surveil_pts layer.

8.      Edited each point to 10 in the new OFFSETA field

9.      Stopped and saved edits.

10.  Opened Viewshed tool again and selected RW_COUA_DEM as input and RW_Surveil_pts as the observer points. Accepted Z factor. Saved output as RW_Viewshed10.

11.  Increased RW_Viewshed10 transparency to 50%.

iii.      Create line of sight

1.      Turned off all layers except surveillance points, orthoimagey and RW_Viewshed10 layer.

2.      Selected RW_COUA_DEM layer in 3D Analyst toolbar

3.      Clicked Create Line of Sight. Entered 10 as the Observer offset a entered 1 for the Target offset.

4.      Clicked the entrance location and dragged a bunch of line of sight lines.

v.       View 3D line of sight

1.      Added elevation dem to ArcScene. Opened its properties. Under Base Heights tab and selected Floating on a Custom Surface. Insured it was directed to proper data folder.

2.      Added Orthoimagery and preformed same steps for Floating on surface and insured Factor to convert layer elevation was set to 1.0.

3.      Copied Lines of sight for Arcmap into Arcsene.

4.      Changed the Orthoimagery layer to 60% transparency

5.      I have a problem where the lines of sight do not rest on top of the elevation layer. I’m not sure how to adjust the copied lines or how to make the rest on top.

6.      I took a screen shot from below the surface showing all items.

GIS 4048 Hurricanes

  Hurricanes

 Examples of process summery from lab

Process: Step 6: Determine percentage of flooded land type

                                       

1)      In the attribute table of floodedlc, selected all types of land exclude Not Flooded.

2)      Right-clicked Count and chose Statistics. Recorded the sum, for representation of pixels flooded.

3)      Added a field called Percent of a float type.

4)      Opened field calculator for the Percent column and preformed the following calculation: COUNT/1380797 * 100. The values now show the percentage of flooded. All values totaled 100.

Step 7: Graph the percentage of flooded land by land-cover type

1)      From view menu, clicked Graphs and clicked Create.

2)      Selected Vertical bar

3)      Set layer/table to floodedlc

4)      Value field chose Percent

5)      X field selected Percent and ascending.

6)      X Label Field selected type

7)      Clicked next and clicked the check mark for Show only selected features/records on the graph.

8)      Named the title Percentage of Flooded Land

9)      Clicked 3d view and then clicked Finish.

10)  Choose Add to Layout by right clicking the top of the graph.

11)  This graph showed a good comparative view of the types of flooded land.

GIS 4048 Earthquakes

Earthquakes

 

Example of process from lab

Step 4: Create a map of building damage density

1)      Using the select by Attributes tool, chose only the red and yellow tagged buildings

2)    Opened the Kernel Density tool from Arc tool box.

3)    Input the Building Status layer.  Named the output raster as DmgPattern into Mydata folder. Search radius of 5000. Output size 100 and made sure it was in meters.  Left all others as default. Clicked OK to run tool.

4)      Cleared selected features

5)      Selected a null color for the first symbol of the DmgPattern layer and changed the layer to 15 transparency.

6)      Right clicked the DmgPattern and chose Save as layer file naming it DmgPatter.lyr.

7)      Renamed the DmgPattern layer in the TOC to Building Damage Density and moved it below Main Shock layer.

8)      In the final map I changed the color ramp layer to white-black and put it above the final PGV layer. I adjusted the transparency of the Building density layer to 33% which showed up good on top of the PGV layer.   

GIS 4048

HLS_DC Crime Mapping 

Process Summary

Step 3

1)      Opened the preset WashingtonDC.mxd.

2)      Added police_stations, DCstreets and crime.

3)      Opened Multiple Ring Buffer and chose police_stations as the input. Named the output as buffer. Chose .5,1,2 for distances. Chose Miles for units and clicked OK.

4)      Added a new field in the Crime attribute table and called it Event.

5)      Used field calculator to add 1 value to the Event field.

6)      Opened Joins and Relates>Join. Selected Join Data from another layer based on spatial location, in the drop down. Checked Sum field.

7)      Named the output buf_crimes.

8)      Chose unique values, and used Distance as the value field.

9)      Removed original buff layer.

10)  Completed the table data.

11)  Joined data from police_sations layer from the joining layer of Crime. Named it pol_sta_crimes. Clicked ok.

12)  Completed the table.

13)  Made a graph using the sum_event for the crimes layer.

14)  Added all essential map elements.

Step 4

1)      Opened the preset WashingtonDC.mxd.

2)      Turned on the Spatial Analyst ext.

3)      Added Crime layer.

4)      Ran a selection query for burglaries from the crime layer

5)      Opened the Kernel Density tool. Used the crime layer for the input. Chose Event for the population field. Named the output burglary608. Left defaults and clicked ok.

6)      Ran the tool again but used a 5000 and 1500 search radius and compared the data.

7)      Saved the burglary1500 as a layer.

8)      Added DC_streets. Exported major and minor roads for separate views.

9)      Repeated the same procedures for the steps above for the Homicide, Sex Abuse and Population data.

10)  Created 4 maps as an end result using the population map as a reference of where the population is the densest.

11)  Added all essential map elements.