Transcript 2 - University at Buffalo

Demographic Study
for New Marketing Strategy
by
Allen Hoerle
Median Income
Weights associated
with each income level
Mileage Buffers
Weight associated
with each distance buffer
Towns
Weights associated
with each town
Renter v. Owner
Weights associated
with owner and renter
Majority population
Female v. Male
Weights associated
with gender distribution
Race
Sum of Weights
0.30
x
Rank
6
x
Rank
5
x
Rank
4
x
Rank
3
x
Rank
2.5
x
Rank
0.5
+
Sum of Weights
0.40
+
Sum of Weights
0.20
+
Sum of Weights
0.15
+
Sum of Weights
0.05
+
Sum of Weights
0.05
Weights associated
with racial distribution
1.00
Note: Ranks based on
indications voiced in
Needs assessment
GIS Suitability Analysis:
An Application for
Ripley Central School
Amber Lauzon
April 12, 2006
GEO 559
th
8
Grade Backpacking
Club
Trail Identification
Objective:
•
To identify suitable routes for the Ripley
Backpacking Club to follow for the 2007
hikes
•
•
Trails
Exercises
Results
Locating Suitable Sites for a New
Public Golf Course within Erie
County
Brian Dudek
GEO 479
April 24, 2006
[email protected]
Conceptual Design
Factors (criteria)







Income
Competing Businesses (Public)
Land Usage/Cover
Population (Age 18-64)
Soil Types
Elevation Differences
Distance to Main Roads
Final Suitability
Index
1 - Unsuitable
10 – Most Suitable
Possible Ideal
Location
(Layer1 * Weight + Layer2 *
Weight…/Total Weight)
Erie County Soil
Erosion Susceptibly
Chad Downie
<- Raster Calculator
weighting the layers
Final Calculated Map ->
<- 3D of final calculation
draped on DEM
Final calculation draped
over TIN of DEM ->
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
Reclassified ATMs distance
Suitability map
Crime Density Map in 3D with
ATMs
A multi-level ‘hot spot’
analysis of Buffalo, NY
using 2005 gun-related
911 call data.
Colleen Keifer
GEO559
April 26, 2005
Pushpin and Density Maps
C district
‘hot spot’ region
Daisy Henderson
Sociology Department
Robberies in Buffalo, NY
A Revisitation of Social
Disorganization Theory
Density Maps of Robberies in Buffalo, NY
Methods to determine additional PCB
testing on the LOOW site
Dave Roberts
University at Buffalo/Geography
Final Map

Spatial Interpolation (inverse weighted
distance) and Buffers of 50ft, 100ft, 150ft
are combined to show possible area’s for
further PCB testing.
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.
Representation of Rainfall
Data in GIS using NEXRAD
and Rain Gauges
Deelesh Mandloi
[email protected]
GEO 559
Calculate MAP Method
2 : Using Spatial
Interpolation (IDW)
Calculate MAP Method
3 : Using NEXRAD
MPE Grids
Canada Geese At UB:
Friendly or Fowl?
Jessica Walsh
MA Student
Physical Geography and
Environmental Systems
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!
Digitized Model of Ellicott Complex
Habitat
UB Shuttle
new Bus Stop and Route
GEO-559
Jose Humberto Covarrubias Rocha
April, 2006

OPERATIONS
Final result shows in
darker areas, the most suitable
for placing a new UB
30%
+
20%
=
35%
+
15%

FINAL ROUTES
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
Classic Gully Erosion
Flow Routing Algorithms
Single flow
Steepest descent
Multiple flow
Flux Decomposition
 (Mark, 1984)
 (Desmet and Govers, 1996)
GIS for Environmental
Modeling
GEO 479
GIS for Rail Trails Project
Matthew Cascarino
April, 2006
IV Methodology
and Procedures
• Project to NAD83
• Intersect to county
1
Land Use
• Select Wetlands
• Convert to Raster
• Reclassify
Railroads
Wetlands
Query
Abandoned
Buffer
To Raster
• Project to NAD83
2
Population
• Convert to Raster
• Reclassify
• Project to NAD83
• Digitize
3
Shoreline
• Straight-line Dist
• Convert to Raster
• Reclassify
Population
Density
Raster Calculator
Shoreline
Buffer
Suitability Ranking
XI View-Shed Surface Spatial
Analysis
View from Rail Trail in ArcScene
Blue = Visible
Brown = Not
3D Image, Built Up with respect to each structures height, View-shed
analysis, Varying colors indicate degrees of visible area.
Arc-Scene
Built Up
Road Network
DEM