1. Demographic Study for New Marketing Strategy by Allen Hoerle

2. Rank 6 Median Income x + Rank 5 x Mileage Buffers + Rank 4 x Towns +
Sum of Weights
0.30
Rank 6
Median Income
Weights associated
with each income level x +
Sum of Weights
0.40
Rank 5
Mileage Buffers
Weight associated
with each distance buffer x +
Sum of Weights
0.20
Rank 4
Towns
Weights associated
with each town x +
Sum of Weights
0.15
Rank 3
Renter v. Owner
Weights associated
with owner and renter
Majority population x +
Sum of Weights
0.05
Rank
2.5
Female v. Male
Weights associated
with gender distribution x +
Rank
0.5
Sum of Weights
0.05
Note: Ranks based on
indications voiced in
Needs assessment
Race
Weights associated
with racial distribution x
1.00

4. GIS Suitability Analysis: An Application for Ripley Central School
Amber Lauzon
April 12, 2006
GEO 559
8th Grade Backpacking Club
Trail Identification

5. Objective:
To identify suitable routes for the Ripley Backpacking Club to follow for the 2007 hikes
Trails
Exercises

6. Results

7. Locating Suitable Sites for a New Public Golf Course within Erie County
Brian Dudek
GEO 479
April 24, 2006

8. Conceptual Design Factors (criteria) Income
Competing Businesses (Public)
Land Usage/Cover
Population (Age 18-64)
Soil Types
Elevation Differences
Distance to Main Roads

9. Final Suitability Index 1 - Unsuitable 10 – Most Suitable
Possible Ideal Location
(Layer1 * Weight + Layer2 *
Weight…/Total Weight)

10. Erie County Soil Erosion Susceptibly
Chad Downie

11. <- Raster Calculator weighting the layers
Final Calculated Map ->

12. <- 3D of final calculation draped on DEM
Final calculation draped over TIN of DEM ->

13. Using GIS to Determine Best Locations for Future ATMs in Buffalo, NY
April 24th, 2006
Cheick T. Diarra
GEO 479
Environmental Modeling
University at Buffalo

14. Reclassified ATMs distance

15. Suitability map

16. Crime Density Map in 3D with ATMs

17. Colleen Keifer GEO559 April 26, 2005
A multi-level ‘hot spot’ analysis of Buffalo, NY using 2005 gun-related 911 call data.
Colleen Keifer
GEO559
April 26, 2005

18. Pushpin and Density Maps

19. C district
‘hot spot’ region

20. Daisy Henderson Sociology Department
Robberies in Buffalo, NY
A Revisitation of Social Disorganization Theory

22. Density Maps of Robberies in Buffalo, NY

23. Methods to determine additional PCB testing on the LOOW site
Dave Roberts
University at Buffalo/Geography

24. Final Map
Spatial Interpolation (inverse weighted distance) and Buffers of 50ft, 100ft, 150ft are combined to show possible area’s for further PCB testing.

25. Findings and Future Analysis
2 main areas of concern are found on the LOOW site.
Additional testing can be done within the buffer regions.
Additional testing can be done to find how PCBs are being transported.
Conducting additional (sediment) tests directly north of the main contaminated site and studying the drainage networks on the site may provide insight into rate and medium of transportation.
If sample depth was provided then a more conclusive study could be conducted in the future of PCB transportation.

26. Representation of Rainfall Data in GIS using NEXRAD and Rain Gauges
Deelesh Mandloi
GEO 559

27. Calculate MAP Method 2 : Using Spatial Interpolation (IDW)

28. Calculate MAP Method 3 : Using NEXRAD MPE Grids

29. Canada Geese At UB: Friendly or Fowl?
Jessica Walsh
MA Student
Physical Geography and Environmental Systems

30. Why Here?
This map shows Erie County, its wetlands, and hydrography. UB North Campus is located at the blue oval.
As you can see, we have close access to wetland habitats and running streams, both of which are attractive to geese.
And the human handouts don’t hurt either!

31. Digitized Model of Ellicott Complex Habitat

32. UB Shuttle new Bus Stop and Route
GEO-559
Jose Humberto Covarrubias Rocha
April, 2006

33. OPERATIONS
Final result shows in darker areas, the most suitable for placing a new UB
30% +
20% =
35% +
15%

34. FINAL ROUTES

35. Lee M. Gordon Physical Geography and Environmental Systems April, 2006
FLOW ROUTING ALGORITHMS: CALCULATING DRAINAGE AREAS USED TO LOCATE EPHEMERAL GULLIES IN A DIGITAL DOMAIN
Lee M. Gordon
Physical Geography and Environmental Systems
April, 2006

36. Classic Gully Erosion

37. Flow Routing Algorithms
Single flow
Steepest descent
(Mark, 1984)
Multiple flow
Flux Decomposition
(Desmet and Govers, 1996)

39. GIS for Environmental Modeling GEO 479
GIS for Rail Trails Project
Matthew Cascarino
April, 2006

40. IV Methodology and Procedures
Railroads
Project to NAD83
Query Abandoned
Intersect to county
Wetlands
Buffer 1
Land Use
To Raster
Select Wetlands
Convert to Raster
Reclassify
Project to NAD83
Population Density 2
Population
OVERLAY
Convert to Raster
Reclassify
Raster Calculator
Project to NAD83
Digitize
Shoreline
Buffer 3
Shoreline
Straight-line Dist
Suitability Ranking
Convert to Raster
Reclassify

41. XI View-Shed Surface Spatial Analysis
View from Rail Trail in ArcScene
Blue = Visible Brown = Not

43. 3D Image, Built Up with respect to each structures height, View-shed analysis, Varying colors indicate degrees of visible area.

44. Arc-Scene Built Up Road Network DEM