Understanding GIS. David Smith
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2)In row 3, under Requirement, type a quarter acre or more. Under Attribute Data, enter area.
The second guideline under “Park guidelines” is that the park be within the Los Angeles city limits. This sounds like spatial data, and you’ll treat it that way for now. (It could be an attribute, too, because a field in a table might store the name of the city in which each parcel is recorded.)
3)Fill in row 4 as you think it should look, and then check the figure.
The third guideline is that the park be as close as possible to the Los Angeles River.
4)In row 5, for the requirement, put near LA River. Under Spatial Data, put rivers.
Using spatial datasets of parcels and rivers, you can measure the distance from any given parcel to the river.
The fourth guideline is to locate the park not in the vicinity of another park, or away from existing parks.
5)Fill out row 6 as you think it should look.
The fifth guideline also needs to be broken down. You need a neighborhood (spatial data) that has the following:
•high population density (attribute data) and
•lots of children (attribute data).
Neighborhoods tend not to have formal boundaries, so you’re probably not going to find them as such in a spatial dataset. As a proxy, or substitute, you’ll use a set of small, standardized areas defined by the US Census Bureau: either the tracts or block groups you looked at in lesson 1.
6)In row 7, enter in a neighborhood as the requirement. Enter census unit for the spatial data.
7)In row 8, enter densely populated for the requirement and population density for the attribute data.
8)In row 9, enter lots of kids for the requirement. For the attribute data, enter age.
The sixth guideline is that the park be in a lower-income neighborhood. You don’t need to repeat the spatial requirement for a neighborhood from step 6.
9)In row 10, enter lower income for the requirement and income for the attribute data.
The last park guideline is to serve as many people as possible. For this guideline, you need a population attribute.
10)In row 11, enter serving the most people as the requirement and population as the attribute data.
Eventually, you’ll want to make a map of potential sites, and you may need some additional data for cartographic purposes. For example, political boundaries and roads put maps in a familiar context. Physical relief creates texture, and imagery provides realistic detail.
11)In rows 12 to 15, enter final map for the requirement. Under Spatial Data, list the examples just mentioned in step 10.
12)Save and minimize the table. You’ll continue to use it in the next exercise.
Exercise 2b: Examine the data
Now you can see what data you actually have on hand. To do this, you’ll work in the Catalog pane. In lesson 1, you used the Catalog pane to manage your maps and data folders. The Catalog pane is great for going back and forth between your map and your data (which is what you do most of the time).
Get started
1)Start ArcGIS Pro, if necessary, and open your LARiverParkSite project. You’ll continue working with your project document from exercise 1b.
2)Display the Catalog pane. The Catalog pane is generally docked to the right of the map (sometimes hidden as a tab).
Insert a new map from the Catalog pane
Recall that you can insert a map from the ribbon, but this time you’ll add it from the Catalog pane.
1)In the Catalog pane, expand the Maps folder
2)Right-click Maps in the Catalog pane and click New Map in the context menu. A new map is added to the list and opens to the map view.
3)Right-click the new map item and click Rename. Name the new map Lesson2.
4)In the Catalog pane, expand Folders by clicking the arrow to the left of it (or double-click Folders). Here you should see the project folder that was created when you started the project (LARiverParkSite) as well as the ParkSite folder that you connected to in lesson 1.
Survey the SourceData folder
1)Expand the ParkSite folder.
2)Expand the SourceData folder.
3)Expand everything you can under SourceData.
It’s a long list of items. You may have to scroll down or maximize the application to see everything. Each item is a piece of geographic data or a data container. The icons signify the type of data, as illustrated in the sidebar “Representing the real world as data.”
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