Applications in GIS Module 3

This weeks lab was formatted differently then previous modules. The assignment required that four Esri learning courses be completed with minimum of 80% on each of the final quizzes. The courses required were as follows: Introduction to 3D Visualization, Performing Line of Sight Analysis, Performing Viewshed Analysis in ArcGIS Pro, Sharing 3D Content Using Scene Layer Packages. The overall theme in this module was the use of 3D layers within a local or global scene. In manipulating 3D data the most used tool was Feature To 3D By Attribute, which converted 2D data to 3D using a specific attribute. For our purposes the Z attribute was used to determine the height of the 3D symbol. The Create 3D Object Scene Layer Package tool was used to package and export the scene for publishing. For Line of Sight analysis Construct Sight Lines was used to draw lines from an observer to the target feature. These lines were then run through the Line of Sight tool to determine which positions on the target feature were visible from the observation point. For viewshed analysis the attribute table was modified with offset, azimuth, and radius data then ran through the Viewshed tool to determine what terrain points were visible from the observation point. The height points were manipulated and it was ran again to achieve the desired results.

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GIS 6005 - Module 6

Because the data provided for the above map contained positive and negative values which ArcMap does not support for proportional symbols, the data had to be modified. All states with positive values were exported to a new shapefile and the same was done with states with negative values. This was all that needed done with the positive valued states. However, for the negative valued states a new field needed added to the attribute table and it had to be populated with the absolute value of number of jobs lost to convert them to positive integers. To prepare the data for bivariate visualization classes needed to be made. To do this, three class quantification was applied to each desired variable to divide each into three relatively equal groups. Then all values in the first group of the first variable were classified with an 'A', then the second group was given a 'B', and the third was given a 'C'. the same thing was done with the second variable however 1, 2 ,...

GIS 6005 - Module 1

General: General features were given large black font with a small white halo to increase legibility and visual contrast. The font size is the largest of any font on the relevant feature. The text was placed in a central location without overlapping other labeled features or important data. Water Features: Water features were given dark blue italic serif font. The color chosen was dark enough to allow legibility and contrast with the light blue water background. For the Golden Gate and San Francisco Bay labels they are placed in a central location within the water feature at a level angle with the page. The Lake Merced label was angled to line up and be contained within the lake. Park Names: Park labels were given a dark green color with a thin white halo to allow visibility and contrast while still keeping the labels intuitive. Font size was chosen to keep the labels within the boundaries of the park. However, due to the shape of Lincoln Park the label overhangs how...

M1 Lab: Map Critique

This modules lesson topic was the history of cartography and appropriate map design principles. The lab for this module involved looking through many maps to find one well-designed map and one poorly-designed maps in an effort to develop our own individual cartographic design styles that align with the design principles. My two maps and evaluation are as follows. Map Evaluation Template Well-designed map: Synopsis: This map shows the six Wildlife Management Area Game Zones in South Carolina. It can be used Wildlife management professionals or hunters. I think the data to ink ratio has been nearly maximized. The zones being numbered outside the legend is redundant but makes the map easier to read at a glance. There is nothing misleading, the data is substantial, and clutter is minimized to the essentials. For these reasons I think this is a well-designed map. Answer the following questions for the well-designed map: General ▪ ...

GIS Portfolio - Michael Malone

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