EXERCISE 1: Exploring your dataPurpose of this exercise is to familiarize with the basic steps in using ArcMap. Basic steps include loading of map, knowing basic utilization of ArcMap, familiarizing with the GUI of ArcMap, selecting layout of map for printing, knowledge of editing on a Map, inserting map elements, saving a map. A figure of the map, after completion of the Exercise 1 is provided below.

A pre-existing map of a locality consisting of location of school, location of airport, major roads, proposed airport expansion zone, locality or county boundary along with the contour of noise generated is loaded on ArcMap. The following steps were incorporated in this exercise.

Different layers corresponding to different data frame are displayed or can be selected using the box next to it.

On the pre-existing map, a school is identified and named Northwestern Prep.

Changing the layout of map is learned in this tutorial. Landscape layout for the map is used to work on the map.

Title of the map on form of element insertion is done.

Different legends to different data were assigned in the map.

Arrow to locate the orientation of the area with respect to direction is loaded on the map showing north direction.

Scale bar is inserted for the assessment of dimension or distance is interested.

Steps involved in printing and saving the map is learned.

Fig 1.1 Location of School and contour map.EXERCISE 2: Working with geographical featuresPurpose of this exercise is to add a new data frame and incorporating the existing school data frame in this new data frame. Amount of land in form of different parcels of different land use which are within the contour of noise from the airport are examined and the results are displayed in form of table and bar chart.

Main steps that have been applied

A new data frame i.e a collection of layers drawn in a particular order for a specific map extent and map projection is created. For the particular example, the data frame inserted is airport geodatabase.

Layers from the School data frame used in Exercise 1 are copied in the Airport geodatabase.

Different land use in the map extent i.e Agricultural, commercial, industrial, residential, unknown land use are assigned using different colors.

Parcels of different land use type within the noise contour were identified.

Results i.e amount of land within noise contour is summarized in table. Steps involved in creating the table is learned.

Another way of summarizing the results are bar chart. A bar chart for number of parcels corresponding to different land use type which are within the noise contour is prepared.

All these results are placed in the layout

Corresponding figures for the steps applied in Exercise 2 are displayed below.

Fig 2.1 Airport geodatabase

In the above figure, the map extent of the area or airport geodatabase is shown. This data frame is inserted in the ArcMap. This data frame is an existing geodatabase provided in the ArcMap.

Fig 2.2 Airport geodatabase incorporated with airport area

Map used in Exercise 1 can been seen in light blue color in the above figure. The location of airport in the whole map is required to determine the impact of the noise generated by it on the surrounding area. To assess the area affected by the noise, the extent of existing airport is necessary, since the area near to it will be more affected by the noise. For this, the correct location of airport on the map is require. This is done in the above step.

In the figure 2.3, the noise contour due to the noise generated from the airport is drawn on the map. This is required to know the extent of area affected by noise. As we can see there is a large area which is affected by the noise and in order to calculate the area, imprint of contour line on the map is a necessity.

To calculate the area affected by the noise, different land use parcels for the area which are with in the noise contour are highlighted. In the next figure 2.4, different parcels in the noise contour are highlighted in light blue color. This gives us the total area covered or affected by the noise due to the airport.

Fig 2.3 Airport data frame showing noise contoursFig 2.4 Parcels affected by noise

Fig 2.5 Land use in noise contour

The above figure 2.5 corresponds to the tabulated format to show different land use parcels located within the noise contour of airport.

In the above fig, the following results can be concluded.

First column corresponds to the Agricultural area in light blue color with the total area within the noise contour of 141

Second column corresponds to the Commercial area in light dark pink color with the total area within the noise contour of 15

Third column corresponds to the Industrial area in white color with the total area within the noise contour of 8

Fourth column corresponds to the Residential area in florescent blue color with the total area within the noise contour of 257.

Fifth column corresponds to the Unknown area i.e area which do not belong to any of the above in magenta color with the total area within the noise contour of 141

From the above results, it can be concluded that the most affected area due to the noise is residential follows bu agricultural area.

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EXERCISE 4: Editing features

EXERCISE 5: Working with map elementsIn this exercise, the main purpose is to learn to finalize the results concluded in above chapters. Proper layout using better GUI for better understanding of results is necessary to summarize and present the results of any work. This chapter deals with the process of finalizing the results and conclusion into a polished work to print for submission of work at any industry.

In this chapters, following steps will be done for betterment of the results to present it to anyone.

Titles, Legends and scale bar are added in all maps in different data frames.

Insertion of titles corresponding to the purpose of data frame in a stylish way is presented in this chapter.

Choosing format to represent different parcels in a data frame is learned.

Scale bar to understand the scale of map is necessary to determine the total area of a map. Choosing the best way to represent the scale is presented in this chapter.

Placing of titles, legends and scale bar on data frame is done.

Formatting of different data frame contents for better understanding of map is explored.

Incorporation of extent rectangles to show the extent of a data frame within another data frame is done.

Finalizing the data frames by addition of drop shadow and netline for better visual presentation is incorporated in this chapter.

Printing of final map is done.

Figure corresponding to different steps are shown below.

Figure 5.1 corresponds to the first data frame selected to finalize with the titles, legends and scale bar is shown.

Figure 5.2 shows the same map with corresponding title of Land use within Noise Contour.

Figure 5.3 and 5.4 are the same Land use within noise contour with incorporation of legends showing different land use type and scale bar for calculation of dimension if necessary. Change in legends title is done as can be observed from Fig 5.3 to Fig 5.4. Titles in legends are changed for better understanding of map.

Fig 5.1 Data frame of map with noise contourFig 5.2 Land use within noise contour

Fig 5.3 Land use within noise contour incorporating legends

Fig 5.4 Land use within noise contour incorporating legends and scale bar

Same finishing as provided for the Land Use within noise contour is incorporated for rest of the data frames i.e. for population density and proposed airport extension. In Figure 5.5 and 5.6, titles, legends and scale bar can be seen in the data frames mentioned above.

In fig 5.6, i.e in the map Proposed Airport Expansion, it can be noted that the direction arrow for location for direction orientation has been added. No direction arrow or north arrow is added on any other map. This due to factor that all the maps are in same orientation and direction orientation do not change for maps. All the maps are orientated in the same direction.

In fig 5.6, an extend rectangle is also incorporated showing the area which is zoomed in the corresponding figure next to it. This is done to easy in location of area that is shown in the figure corresponding. IT helps in pointing out the zone where one is working on in the whole map.

For the final layout for the print, all the data frames and table are put in one layout plan with a title of Proposed Airport Expansion . All the data are placed with drop shadow. Drop shadow gives the feeling that the data frame is coming out of the layout. It can be visualized by the light gray or black color around the box of data frame.

Netline is incorporated in the final layout. Border with equal distance are shown along netline. The background color of layout is changed to light blue color for better visualization of final print. The final print is shown the Figure 5.7.

Fig 5.5 Population density mapFig 5.6 Proposed airport extension along with extent rectangle

Fig 5.7 Proposed airport expansion final layout