GIS Term Project - Analysis of Road Crashes in Lower-Income Neighborhoods in Denver

Please answer the question as best you can without providing extraneous information.

1. Describe the similarities and differences between a spatial join and an attribute join.
2. Provide a specific example that illustrates when one can be used while the other cannot.

1. Using appropriate terminology, what sort of map are we looking at?
2. What spatial data model do you think they used to create this map,and what clues led you to say this?

1. What would you suggest in terms of making a better map?
2. Would changing your spatial data model help improve the map?

Why or why not?

You just downloaded three shapefiles: i) a polygon layer of a city; ii) a point layer of residential addresses; and iii) a polygon layer of voting precincts.

1. You want to create some topological rules, but what step or steps would you first need to take before doing so?
2. Give three examples of useful topological rules you could create using these layers.

Let’s say that you want to create a term project where you use GIS to figure out whether there are more road crashes on streets in lower-income neighborhoods in Denver than in wealthier ones. Please keep in mind that you do not need to perform the actual analysis to answer these questions.

1. Using the Denver Open Data Catalog (http://data.denvergov.org/) as reference, what data would you download and why (you do not actually need to download the data).
2. Describe the spatial and/or attribute queries you would use to answer the above question.

Massachusetts municipalities. Please keep in mind that some cities and towns are discontinuous and have more than one record in this particular shapefile; as a result, you will need to correct this problem before conducting your analysis (with a GIS tool you also used for your homework assignment).Also, I have provided you with layers showing all the MBTA (Massachusetts Bay Transportation Authority) train lines and stations as well as a table with the number of murders reported in each city or town.

All the GIS data that you will need to complete this portion of the exam is included. With any map you create, the text must be legible to receive credit. Also, aesthetics count, so make your maps look good!

First off, use GIS to figure out how many municipalities there are in Massachusetts. How many are there, and how did you use GIS to find this answer?

Now build a choropleth population density (with units in persons per square mile) map calculated using population from the year 2020. Separate the data into 5 categories using the Natural Breaks classification system. What does “Natural Breaks” mean in terms of aggregating the data?

Using layout view, export your map (rather than using a screen capture) and add it as an image to your Word document. Be sure to include all of the appropriate map components such as the legend, north arrow, title, and scale bar; also, the colors of your choropleth map should intuitively indicate the data trend. Briefly explain the steps you took to build this map.

Create a new layer highlighting the cities and towns within 1-mile of any red line MBTA station (the station does not need to be within the boundaries of the city) AND that also reported NO murders.

• Create a buffer layer showing the area within a half-mile of any MBTA red line station as a single polygon (this includes stations with both the red line and another line; also, please focus on the stations and not the red line tracks). Zoom to the extent of this new layer and provide a screen capture of what you built with the municipalities layer shown in the background (with the municipalities labeled). Also on this map, depict the MBTA corridors in their appropriate color (based on their names). Briefly explain the steps you took to build this map.
• How many acres of land does this area cover (make sure you don't count overlapping areas twice)? Looking closely at that buffered area, check to see if any of it extends into Boston Harbor; if it does, figure out a way to remove the portion of the polygon not covering land and recalculate the area. What tool did you use, and what percentage of the original buffer covers land? Screen capture a map showing this difference.