Transcript Volcanic Hazard Maps at Yucca Mountain, Nevada

Volcanic Hazard Maps at
Yucca Mountain, Nevada
Volcanic hazards based on effusive and explosive volcanism
Adam Toy
Volcano Studies Group
UB Department of Geology
Geo559
Expansion Plan for
Kissing Bridge Ski Resort
~Becky Schalk
Geo479
Orthophotos were used to:
• Digitize Houses, Ski
lodges, ski trails,
ravens and trees
Triangulated Irregular Network:
Emergency Cellular Network
Coverage for Highways in Delaware
County, NY
Abstract
This study attempts to determine optimal placement of cellular
towers in order to maximize road coverage in Delaware County,
NY. This is accomplished through the construction of a 3D
Viewshed and subesequent suitability map identifying prime areas
for future tower placement.
Bert Yagrich
Geo 559
4/1/04
View Shed Analysis
• Highways and towers
clipped to study area.
• DEM converted to
grid in ArcToolbox and
a TIN was constructed
with 3D Analyst.
• Cell towers and
highways overlaid in
3D visualization in
ArcScene.
• Viewshed performed
from cell tower
location and overlaid
on TIN.
Suitability Analysis
• Elevation, Slope,
Proximity to Road
were variables
chosen.
• Grids were
created based on
these variables
and reclassified.
• Combined through
raster calculations
in Spatial Analyst
to compute a final
suitability
analysis.
Preliminary Analysis/Validation
• Prehistoric – as
expected, many high
sensitive areas
• Historic – gaps in coverage
• Ground Disturbance –
moderate from agriculture
GEO559 / Spring, 2004
Professor, Ling Bian
Land Price Modeling
Using Multiple Regression
Analysis
Apr. 8, 2004
Daejong Kim
Dept. of Geography
Geo559
Summary
Predicted
Min. ~ Max. -61,296 ~ 2,244,668
Appraised
1,250 ~ 5,000,000
CBD Area
Underestimated:
Overestimated:
generalized linearly
interaction effect
autocorrelation
Suburban
Overestimated:
applied linearly
Underestimated:
development restricted
area
Around
road
High in general
High in CBD
Alternative
s
Non-linear regression
Expansion method, Geographically weighted
Purpose
• The goal of this project is
to determine which
location is ideal for the
Lexington Co-op, a small
grocery store located in
Buffalo
• The choice of location is
between two location
choices.
– The Current Location
– A New Larger Location
Gabriel Schmidbauer Geo559
OR
High Income
Population
• High income was also
considered to be a
factor in current and
potential customers.
• Wealthier populations
Tended to shop at the
Co-op.
Detecting Spatial Pattern of Breast Cancer Clusters
In Erie and Niagara county, 1993 – 1997.
Presented by Gyoungju Lee
Geo559
 Study Objective
Detecting spatial clusters of breast cancer in Erie and Niagara county
Testing its statistical significance within GIS framework
Providing further research implications.
 Methodology
1. Spatial scan statistic (Kulldorff, 1997)
2. Two models available, depending on study objective and data
Bernoulli model
Poisson model
Analysis Result
Map of clusters detected
Map of clusters detected (detail)
Analysis Result (Cont.)
Table 1. Overall Information ( Bernoulli and Poisson Model)
Zips
included
in cluster
Pop
at-risk
Obs
Exp
Relative
Risk
1st
14228
1051
54
7.27
7.43
2nd
14026 14221
14043 14225
14086 14031
14227 14226
109470
935
756.72
1.24
3rd
14217 14223
27664
256
191.23
1.34
Table 2. LLR : Bernoulli Model
Log
Likelihood
Ratio
P-value
1st
62.9
0.001
2nd
24.22
3rd
10.49
Table 3. LLR : Poisson Model
Log
Likelihood
Ratio
P-value
1st
61.84
0.001
0.001
2nd
24.04
0.001
0.002
3rd
10.41
0.001
Landslide Modeling Using
GIS
Jennifer Mussell Geo55
Land Use/Land Cover
Water
Developed
Barren
Forested Upland
Shrubland
Non-Natural Woody
Herbaceous Upland
Herbaceous Planted/Cultivated
Wetlands
DEM
Procedure to Compare
Numerical Simulation of
Geophysical Flow with Field
Data
Laércio M. Namikawa
Geo559 - Spring2004
Objectives
Develop a quantitative procedure to compare output of a numerical
simulation of geophysical flow with fieldwork data.
Geophysical flow challenges for comparison:
Large scale phenomena:
Knowledge of variables is limited.
Low recurrence
Small number of real cases.
Dynamic nature:
Requires analysis of a series of data, each from different time
Quantitative Analysis Using Statistics and
Spatial Database
Approach
• Divide area in analysis units;
• For each unit, acquire
attributes:
– Inside or outside flow
footprint;
– Mean:
•
•
•
•
Pile height;
Distance to flow center;
Distance to flow outline;
Composed distance
(center+outline).
• Fit Logistic Regression;
• Performance measure:
– Slope of Pile Height
Logistic Regression
Dependent variable: InFlow
sim1
sim2
feb22
feb10
1: Inside real event flow footprint;
0: Otherwise.
Predictors:
Pile height;
Combined distance: center+outline
Probability of Being Inside Flow
at 200 meters from center
Probability of a Pile 5 Meter High Being Inside Flow
0.7
1
0.6
0.8
Probabiity
p(sim1)
0.4
p(sim2)
p(feb22)
0.3
p(feb10)
Probabiity
0.5
p(sim1)
0.6
p(sim2)
p(feb22)
p(feb10)
0.4
0.2
0.2
0.1
Pile Height (m)
Distance from Flow Center (m)
45
0
40
0
35
0
30
0
25
0
20
0
15
0
10
0
50
ta
nc
e
17
.8
15
.8
13
.8
11
.8
9.
8
7.
8
5.
8
3.
8
1.
8
0
Di
s
Pi
le
He
ig
ht
0
Utilizing GIS for Trail Planning in the
Town of Aurora
Vector and
Raster
Analysis
Maria Dolce
Geo559
Raster Analysis
• My opinion –
- vector analysis is
best for this case
- narrows location
down better with
buffer and clipping
Viewshed Analysis
• 3 scenic lookouts
• Field verify – may be
natural or man made
elements obstructing
view
GEO559 Presentation
Assessing landslide susceptibility
using logistic regression:
Alameda County, CA
April, 2004
Sanghoon Lee
Geo559
Result
Probability
> 0.01
0.01-0.009
<0.009
Category
High
Moderate
Low
A DRASTIC Approach for
Evaluating Pollution Potential in the
Tonawanda Valley Aquifer
Steve Knapp
Geo559
Results /
Final Drastic
Model
Purpose
• Trees add levels of value to a campus
– Beautification
– Lowers stress of student
– Provides shade for landscaped areas and
buildings
Suitability Map for Western New
York’s Grocery Store
Edwin Timothy
GEO 559
Environmental Modeling
Modeling Phosphorus Hotspots
Franklin County, Vermont
Sue Roussie
Geo 559
April 13, 2005
Result – Export Coefficient
Result – Export Coefficient
Ground Truthing
Lineaments in the
Eastern Finger Lakes
Joshua Stroup
Geo 559
4/18/2005
Hill Shade Lineaments
Skaneateles field area
0
5
Kilometers
10
Results
Legend
weights
Id
unlikely
road cut
stream
possible location
lineament
probable location
better location
best location
0
2.5 5
Kilometers
0
0.15
0.3
Kilometers
Commercial
Building placement
along Buffalo’s
Waterfront.
Ismaeal Naji
Candice Au
Geo 479
conclusions