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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:.

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Volcanic Hazard Maps at Yucca Mountain, Nevada

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  1. 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

  2. Expansion Plan for Kissing Bridge Ski Resort ~Becky Schalk Geo479

  3. Orthophotos were used to: • Digitize Houses, Ski lodges, ski trails, ravens and trees

  4. Triangulated Irregular Network:

  5. 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

  6. 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.

  7. 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.

  8. Preliminary Analysis/Validation • Prehistoric – as expected, many high sensitive areas • Historic – gaps in coverage • Ground Disturbance – moderate from agriculture

  9. GEO559 / Spring, 2004 Professor, Ling Bian Land Price ModelingUsing Multiple Regression Analysis Apr. 8, 2004 Daejong Kim Dept. of Geography Geo559

  10. Summary

  11. 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 OR Gabriel Schmidbauer Geo559

  12. High IncomePopulation • High income was also considered to be a factor in current and potential customers. • Wealthier populations Tended to shop at the Co-op.

  13. 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

  14. Map of clusters detected Map of clusters detected (detail) • Analysis Result

  15. Analysis Result (Cont.) Table 1. Overall Information ( Bernoulli and Poisson Model) Table 2. LLR : Bernoulli Model Table 3. LLR : Poisson Model

  16. Landslide Modeling Using GIS Jennifer Mussell Geo559

  17. Land Use/Land Cover Water Developed Barren Forested Upland Shrubland Non-Natural Woody Herbaceous Upland Herbaceous Planted/Cultivated Wetlands

  18. DEM

  19. 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

  20. Quantitative Analysis Using Statistics and Spatial DatabaseApproach • 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

  21. Logistic Regression sim1 sim2 Dependent variable: InFlow 1: Inside real event flow footprint; 0: Otherwise. Predictors: Pile height; Combined distance: center+outline feb22 feb10

  22. Utilizing GIS for Trail Planning in the Town of Aurora Vector and Raster Analysis Maria Dolce Geo559

  23. Raster Analysis • My opinion – - vector analysis is best for this case - narrows location down better with buffer and clipping

  24. Viewshed Analysis • 3 scenic lookouts • Field verify – may be natural or man made elements obstructing view

  25. GEO559 Presentation Assessing landslide susceptibility using logistic regression:Alameda County, CA April, 2004 Sanghoon Lee Geo559

  26. Result Probability Category > 0.01 High 0.01-0.009 Moderate <0.009 Low

  27. A DRASTIC Approach for Evaluating Pollution Potential in the Tonawanda Valley Aquifer Steve Knapp Geo559

  28. Results / Final Drastic Model

  29. Purpose • Trees add levels of value to a campus • Beautification • Lowers stress of student • Provides shade for landscaped areas and buildings

  30. Suitability Map for Western New York’s Grocery Store Edwin Timothy GEO 559 Environmental Modeling

  31. Modeling Phosphorus HotspotsFranklin County, Vermont Sue Roussie Geo 559 April 13, 2005

  32. Result – Export Coefficient

  33. Result – Export Coefficient

  34. Ground Truthing Lineaments in the Eastern Finger Lakes Joshua Stroup Geo 559 4/18/2005

  35. Hill Shade Lineaments

  36. Skaneateles field area

  37. Results

  38. Commercial Building placement along Buffalo’s Waterfront. IsmaealNaji Candice Au Geo 479

  39. conclusions

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