Week_10: Department of Homeland and Security

I didn't encounter any major problems. I learnt how to set surveillance points around a sensible feature.

Week_9: Homeland Security

The top map depicts the area of interest. The counties of California concerned by the project, the bay area urban area and its boundary are represented. The second map shows the structures in the area of interest.

In this lab, I learned how to merge many landmarks into one.

I did not encounter a particular probem except that it took me over 8 hours to get the work done.

Week_8_Law_Enforcement: Houston, Texas

I learned how GIS can assist police departments in their daily duties.

Week_6_Location Decisions: Maricopa County, Arizona

Summary of the process

1. Create a basemap showing county, places, and

federal land types.

2. Select Chandler Regional Hospital and export.

3. Calculate distance around Chandler Regional

hospital.

4. Reclassify distance around hospital into nine

categories with an interval size of 10000.

5. Select Phoenix College and export.

6. Calculate distance around Phoenix College and

reclassify distance into nine categories with an

interval size of 10000.

7. Create a field and calculate percent of

population of 40 -49 using tract data.

8. Convert tracts to a raster with percentage of 40 -49.

9. Reclassify tract as a raster wih nine categories.

10. Download census tract data for Maricopa County, Arizona, from

http://www.factfinder.census.gov/ (median house value)

11. Join to census tracts by FIPS

12. Convert tracts to a raster with median_value as the field

13. Using ModelBuilder, run two different weight overlays using the following parameters:

Fisrt weighted overlay

* Reclassed hospital: 25%

* Reclassed college: 25%

* Percentage 40 -49: 25%

* Median House value: 25%

Second weighted overlay

* Reclassed hospital: 40%

* Reclassed college: 40%

* Percentage 40 -49: 10%

* Median House Value: 10%

NB: It took several hours to download the census tracts data.

Week_6_Location Decisions: Franklin County, Ohio

Week_5: Impact Assessments

Week_4: Floods