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Showing posts from February, 2019

Lab 6 - Projections Part 2

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The purpose of this lab was to find, import and reproject data into a common coordinate system:   NAD 1983 (2011) StatePlane Florida North FIPS 0903 (US Feet) .  The screen shot above shows the Map View from ArcGIS Pro with all the required data layers in the same coordinate system.  In order to find a quad number to search for aerials in Escambia County on Labins.org, I searched the FGDL.org site for a "quad index" to find the  qd24 data layer. I will note that Labins.org has a search tool to find quad numbers but it was not functioning during the time period for this lab.  I also used the site to find a county boundaries layer by searching for  "county boundaries."   Finally, I found a major roads data layer by searching for "major roads" on the site. For the roads, I chose a shapefile from the Florida Department of Transportation (FDOT) called majrds_jan19. Because all of these files were not in the correct coordinate system, I added each file indiv

Module 6: Data Classification

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The purpose of this week’s lab is to use a dataset in ArcGIS Pro to explore four common methods of data classification: equal interval, quantile, standard deviation, and natural break. Each method has advantages and disadvantages and changes how the data is interpreted. The method selected for a final map is determined by the data, the purpose of the map and the intended audience.  For the Natural Breaks method, data are put into classes in an attempt to make the values in the class similar to each other but also different from other classes. This method identifies real or “natural” class breaks and thus real trends within the data which can be more accurately represented on choropleth maps. In the Miami-Dade map, the tracts with the highest and lowest percentages - as well as all those in-between - of seniors can be seen. For the Equal Interval method, data are put into classes that have equal ranges or "intervals" in the data , which are produced in an unbiased wa

Lab 5 - Introduction to Projections

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The purpose of this lab was to explore different coordinate projections. For the lab, I projected the counties of the state of Florida in three different coordinate systems: Albers, UTM 16 N and State Plane N. Upon visual inspection, the UTM and State Plane projections are slightly compacted and rotated counter clockwise when compared to the Albers projection.  In order to see how this visual difference impacts the physical characteristics of the counties, I selected four counties distributed throughout the state – Alachua, Escambia, Miami-Dade and Polk – and compared their area in square miles. There are differences in area between the three projections for all counties. The greatest differences in area are for the two largest counties – Miami-Dade and Polk. In addition, the UTM projection has the biggest area difference for Polk County. From this analysis, I conclude that the UTM and State Plane distort the areas of some counties more than others, especially larger counties.

Module 4: Cartographic Design

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The purpose of this lab was to use the cartographic design process to create a map of the Public Schools in Ward 7, Washington, D.C. and employed Gestalt's principles of visual hierarchy, contrast,  figure-ground, and balance. I created my map in ArcGIS Pro and explored the symbology, labeling and layout options to achieve a final balanced product. Visual hierarchy and Contrast are often used together. Visual hierarchy is when symbols and their map elements are ranked according to their relative importance, while  Contrast is the visual difference between map features so that the features can be distinguished from one another.  For this map, the most important features are the schools and Ward 7 area with the least important being some of the essential map elements: north arrow, scale bar, and author/sources.  I implemented visual hierarchy by using color to create Contrast between map elements. I made the Ward 7 district a brighter color than the surrounding D.C. Area to d

Lab 4 - ArcCollector and Data Sharing

The purpose of this lab was to collect field data using ArcGIS Collector and then use the collected field data to explore several methods to create and share the resulting maps: ArcGIS Online map, story map, Google Earth KMZ web map and map package.  I chose to collect field data on fire hydrants on my running route. Before heading out to collect data, I created a new feature class with a custom attribute table and a "Condition" domain that included a list to assess the condition of the hydrants. I uploaded the feature class to ArcGIS Online and  created map. I downloaded the ArcGIS Collector on my phone and used it to survey the fire hydrants during my run. I found the ArcGIS Collector App easy to use. My domains were set up correctly and I could choose from the list I created. I was also surprised that the Date field automatically allowed selection from a scrolling list. I was worried that I would have to enter the date manually and I could see how that would create

Module 3: Typography

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This week's lab was all about typography, the art of organizing, using and designing types or fonts. The purpose of the lab was to create a map of Marathon, FL and label a list of features following typographic guidelines. The outline of the map and inset map were created in ArcGIS Pro and imported into Adobe Illustrator using the ArcGIS Maps Extension. To create a crisp outline for the inset map, Clip Mask was used with the original map frame. Once the map was imported and the inset clipped and organized, map features were labeled and stylized and essential map elements were added.  I found it challenging to strike a balance with so many features having to be labeled and not overcrowd the map with leader lines. In order to create a balance, I chose to stylize and customize some labels, so that some stand out.  I chose to customize my map as follows: 1. Customized labels. I customized the water labels by making them italic and blue to mimic the flow and feel of water.