Finding An Ideal Ski Resort Location GIS Group Project: Meredith Faust Dana French Kalyna Malm.
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Transcript of Finding An Ideal Ski Resort Location GIS Group Project: Meredith Faust Dana French Kalyna Malm.
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
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.
Types of DEMs
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
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
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
OuterSPACE
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
Geographic Context
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
Vail, Colorado
Wintergreen
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
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
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
Close to Blacksburg
Winterplace, WV
Beech Mtn, NC
Sugar Mtn, NC
603 ft, 1.25 mi
830 ft, 1 mi
1,200 ft, 1.5 mi
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
Option 1
Using the 3D Analyst in ArcScene to make the Data three dimensional
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.
Our DEM in its Original Form:
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
Option 2
Using Neighborhood Analysis to determine the highest elevations
Neighborhood Analysis
Another way of finding the best ski resort would be using Neighborhood Analysis in the Spatial Analyst extension.
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
Our DEM in its Original Form:(with the Spatial Analyst activated)
Neighborhood Analysis Cont.
Now highlight the Neighborhood Statistic function under the Spatial Analyst arrow
Select your criteria for analysis. In our example, we used Maximum
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
Neighborhood Analysis
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
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
BECAUSE JONNY SAID SO!
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
And, of course, the best reason:
Because it would be…
THE END