In Exercise 1, the first step we did after learning how to start ArcMap and open an existing map document was to change the display symbol for "schools" from a dot to the more appropriate School 1 symbol. This makes it easier for the experienced viewer to recognize right away where the schools are located on the map without having to check the legend. Looking at the noise contour and the locations of schools close to the airport shows us which if any schools are at risk of experiencing too much noise from the airport. We then added text to identify the one school within the noise contour as Northwestern Prep. Finally, we added a title, legend, North arrow, and scale bar to further help with understanding and interpreting the map.
Tutorial Exercise 2:
In Exercise 2, we first created a new data frame with the parcels data. We then ensured that both data frames were the same size before copying the layers for the noise contour and airport area from the Schools data frame to the parcels data frame. Next we adjusted the symbols and color scheme of the parcels so that instead of all having the same symbols they had a different color for each land-use type. We then made a table to show the total area of each land-use type and the number of parcels of each type within the noise contour. We used this table to make a bar graph displaying the number of parcels of each land-use type.
Tutorial Exercise 3:
In Exercise 3, we created another new data frame to display the population density data for the county, which shows where people are located in the area. To do this we first opened ArcCatalog and copied the layers for arterials, tracts, and airport_area to the new data frame. Then we added the population data by adding the table that contained the population data to the data frame. We joined the table with the population data to the census tract data table so that each tract would have its own population data. Finally in order to map population density we created a new field in the tracts table with a calculation that measured population density by dividing the population of the tract by the area of the tract converted into square miles. We then changed the colors of the tracts to reflect their population densities, the darkest having the most dense populations. This map allows you to easily see where the most people are concentrated in the county.
Tutorial Exercise 4:
In Exercise 4, we edited the data in the first map of Schools and Noise Contour to elongate and curve the airport road to make a loop that connects back to an arterial road at another point. First we started editing using the Editor Toolbar and set snapping so that any new arterial lines we drew would "snap" to the lines that were already on the map. We then started drawing the new road by clicking with the sketch tool and inputting various command such as making a segment parallel to an existing line or making a ninety-degree turn to the right. Finally we finished the loop by connecting the new road segment back to an existing arterial and naming it "Airport Dr".
Tutorial Exercise 5:
In Exercise 5, we tweaked the appearance of all the existing data frames to make them easier to understand. We added backgrounds, titles, and simplified legends to the data frames that did not have them. We relocated the north arrow from the Schools data frame to the bottom right corner of the layout because the same north arrow applies to all of the maps. We gave the entire layout the title of Proposed Airport Expansion to show at first glance what the data is about. Finally we added an extent rectangle to show where the proposed airport expansion area is on the map of the entire county. To beautify the map we added a neatline and some drop shadows to the data frames.
Nice job. Looks great!
ReplyDelete20/20