Due at 8am on Tuesday, 28 February 2017
NOTE: This is a complicated assignment! (The next one will be even more so.) Read it through, carefully, all the way to the end, before you start working on it!
This assignment is worth 15 points—5 points each for your map, model, and data, awarded according to the evaluation rubric.
The Energy Division from the Planning & Development office of Santa Barbara County seeks your advice on wind energy. They have received a grant to seed small-scale wind energy production by subsidizing WES 250 kW turbines for installation within mainland Santa Barbara County. These turbines operate at 30 to 50 meters in height, and require minimum wind speeds of 6 m sec-1 for optimal power generation (roughly, 300 W m-2 in wind power density). They want a ranked list of 10 potential sites, each with at least 4 contiguous hectares, that meet their suitability requirements, written as follows:
The following data come from a variety of sources, and are
available in the
geodatabase. Except where indicated, we've projected
these data into NAD83 California (Teale) Albers and clipped them
to the Santa Barbara County mainland.
SPEED_LIM >= 35. Source: Santa Barbara County GIS (SBCGIS), 2008.
HAZ_CODE = 3. Source: Fire and Resource Assessment Program (FRAP), 2008.
HAZ_CODE = 3. Source: FRAP, 2007.
NONTAXCODE = US(federal) or
NONTAXCODE = ST(state). Assume that "designated as parks or other public use" are parcels where
USECODEstarts with a 6, 7, or 8 (e.g., 6xxx, 7xxx, or 8xxx.) Source: SBCGIS, 2009.
Remember, once you've added a layer to ArcMap, you can view its metadata by right-clicking on the layer in the table of contents and selecting Data→View Item Description....
Work through Law & Collins Chapters 8 (Classifying features) and 18d (Running tools in a model).
Work through the online ModelBuilder tutorial.
Optionally, you may work through the ArcGIS Spatial Analyst tutorial. It walks through a suitability analysis using Model Builder in "Exercise 3: Finding a site for a new school."
Use Model Builder and ArcToolbox to implement a binary model that produces a suitability raster where each cell indicates whether that area satisfies all the provided constraints. Use the masking technique for your rasters—that is, 1 = "included in solution" and NoData = "excluded from solution."
Figures 1–6 show the specific ArcToolbox tools and data flow necessary at each step to implement your model. These figures are separate for clarity purposes only. You will implement all steps together in a single model.
Figure 1: Computing Wind mask using Reclassify.
Figure 2: Computing the Roads mask using Project, Euclidean Distance and Reclassify.
Figure 3: Computing the Airports mask using Euclidean Distance and Reclassify.
Figure 4: Computing the Urban mask using Union, Euclidean Distance, and Reclassify.
Figure 5: Computing the Fire mask using Select, Union, and Erase.
Figure 6: Computing the Public mask using Select, Project, and Erase.
Figure 7: Computing the suitability raster using Extract by Mask
Set your model properties as follows:
When working in Model Builder, you should build your model using an iterative process; i.e., one tool at a time:
Once your suitability raster is ready, your final step is to interpret your results by identifying the 10 most suitable sites, ranked by most contiguous area.
Design a map that communicates your results, and clearly identifies your 10 most suitable sites.
You will upload three files: your map, your model, and your results data:
Figure 8: Exporting Model Builder model to graphic as PNG file.
Don't worry if your height and width are different than the ones shown here (lower right, greyed out).
Results.gdbgeodatabase as a raster named
Suitable. You needn't include any attributes for these data—the raster itself is sufficient. (The
Example.gdbgeodatabase is an example of how to do this.)