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Finding An Ideal Ski Resort Location

Finding An Ideal Ski Resort Location. GIS Group Project: Meredith Faust Dana French Kalyna Malm. First things first:. In order to find an ideal ski resort location, we need elevation data. Digital Elevation Models .

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Finding An Ideal Ski Resort Location

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  1. Finding An Ideal Ski Resort Location GIS Group Project: Meredith Faust Dana French Kalyna Malm

  2. First things first: In order to find an ideal ski resort location, we need elevation data

  3. Digital Elevation Models • With GIS, the appropriate data is incorporated into a layer called a DEM, or digital elevation model. • While searching for DEMs on the web, several options are available.

  4. Types of DEMs

  5. National Elevation Data (NED) • Developed by USGS • Merges highest resolution & best quality elevation data from across the US into a seamless raster format. • 1:24,000 scale DEM data for continental US & 1:63,000 scale for Alaska • Result of maturation of USGS effort

  6. National Land Cover Data (NLCD) • Used by Geostat Center at UVA • Accquired by Landsat’s Thematic Mapper sensor, as well as a number of other data sources • 30-meter format, shading scheme

  7. Shuttle Radar Topography Mission (SRTM) • A joint effort from NASA, NIMA (National Imagery & Mapping Agency), DLR (German Space Agency), ASI (Italian Space Agency) • Flight of shuttles occurred February 11-22, 2000 • 12 Terabytes of raw data, being processed into DEMs

  8. Outer S P A C E

  9. Step 1: Finding Elevation Data • We found elevation data in NED form near the southern Virginia/North Carolina border at the following web site: http://seamless.usgs.gov/viewer.htm • The following slide shows the specific area we selected for our ski resort

  10. Geographic Context

  11. Step 2: Looking for Common Ski Resort Features • In order to see the way that ski resorts are typically set up, we searched the internet for pictures of existing ski resorts. • The following pictures show a large ski resort in Vail, Colorado, and Wintergreen right here in VA

  12. Vail, Colorado

  13. Wintergreen

  14. Ski Run Design • The best ski resorts have maximum slopes converging to a few ski lifts. • Based on actual resorts, slopes run parallel down small valleys within the mountain side

  15. Properties of Area Ski Resorts WINTERGREEN mountain has an elevation of 3,515 ft, with a vertical drop of 1,003 ft. The longest run is 1.4 miles

  16. RESORT Whitetail, PA Liberty Blue Knob Snowshoe VERTICAL DROP & LONGEST RUN 935 ft 600 ft, 1 mi 1,072 ft, 1.75 mi 1,500 ft, 1.5 mi

  17. Winterplace, WV Beech Mtn, NC Sugar Mtn, NC 603 ft, 1.25 mi 830 ft, 1 mi 1,200 ft, 1.5 mi Close to Blacksburg

  18. Step 3. Using GIS • There are 2 options that can be used to determine the best possible ski slopes for our selected area • Option 1: 3D Analyst in Arc Scene • Option 2: Neighborhood Analysis

  19. Option 1 Using the 3D Analyst in ArcScene to make the Data three dimensional

  20. 3D Analyst • Use the 3D analyst extension on ArcScene to view the DEM in three dimensions • Once this is done, it will be easier to find a specific location for a ski resort: from the picture of Vail, we concluded that a good ski resort contains a large valley, surrounded by two or more mountains containing a variety of different slopes for possible ski trails.

  21. Our DEM in its Original Form:

  22. Turning the DEM from 2D to 3D • Right click on the layer name • Go to properties • Click on the base heights tab • Use the same settings as the picture to the left

  23. Option 2 Using Neighborhood Analysis to determine the highest elevations

  24. Neighborhood Analysis • Another way of finding the best ski resort would be using Neighborhood Analysis in the Spatial Analyst extension.

  25. Neighborhood Analysis • You will need the following for this type of Neighborhood Analysis: • A DEM of the target location • The Spatial Analyst extension and toolbar activated

  26. Our DEM in its Original Form:(with the Spatial Analyst activated)

  27. Now highlight the Neighborhood Statistic function under the Spatial Analyst arrow Select your criteria for analysis. In our example, we used Maximum Neighborhood Analysis Cont.

  28. Neighborhood Analysis • Because we are using a DEM, the maximum function will find the highest (maximum) areas compared to each cell around it in the grid. • When the program is done computing, The areas with the largest slope in the grid in relation to its neighborhood will be shown

  29. The following map output has the maximum slope of our DEM shown in RED. The most exciting potential ski areas are shown inside the blue circles. Neighborhood Analysis

  30. Neighborhood Analysis

  31. Discussion • This is the best possible geographic location for a Ski Resort within our selected area because: • 3 mountains surrounding a large valley that is prime for ski slopes • The Neighborhood Analyst found steep slopes within this region …. and

  32. BECAUSE JONNY SAID SO! Xtreme!

  33. Further Discussion • This area is optimal for other reasons: • Interstate Access • Nearby Colleges provide many potential customers • High annual precipitation compared to other locations in Virginia

  34. And, of course, the best reason: • Because it would be… Xtreme!

  35. THE END

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