Showing posts with label Cartographic Design. Show all posts
Showing posts with label Cartographic Design. Show all posts

Wednesday, April 30, 2014

GIS3015 Final Project: 2013 ACT® Average Composite Scores and Percent of Graduates Tested

The final project of GIS3015 involved creating a map of 2013 ACT® average composite scores and percents of graduates tested, using data from ACT's website. Project guidelines required that the map be completed as if by an employee of the U.S. Department of Education's National Center for Education Statistics for the Washington Post's use in an article on high school seniors and college entrance scores. Completing the map required utilizing knowledge, skills, and resources accumulated throughout the semester. Some of these skills were separating out data to create different data frames, changing projections of data frames, selecting classification methods, adding data to an Excel spreadsheet to convert to a .csv file, using Joins and Relates to add data to a layer's attribute table, and using proportional symbols.

2013 ACT® Average Composite Scores and Percent of Graduates Tested
Most of the map was completed in ArcMap with adjustments and finishing touches done in Adobe Illustrator. Having two sets of testing data on one map helps potential relationships in the data stand out. Both of these particular sets of data showed regional patterns when viewed on a choropleth map with proportional symbols. The final project was a realistic representation of what to expect in the working world of GIS.



Sunday, March 30, 2014

GIS3015 Module 10 Lab: Flow Line Mapping

Mapping with flow lines provides a very simple graphic illustration of geographical movement of some phenomena. In this module a flow map was created to show the origins of and number of persons coming from other regions and obtaining legal permanent United States resident status. A choropleth map of the United States was created to show the percentage of immigrants to each of the fifty states. The graphic representations were based on fiscal year 2007 statistics obtained from the US Department of Homeland Security. Flow lines on flow maps must be hand drawn due to their individual and unique nature. Because of this, Adobe Illustrator was used exclusively to create the flow map.
preliminary sketch - horizontal
Far more than any other map created to date, this flow map took the most preparation to determine the best layout before even starting Adobe Illustrator. First in the process was sketching out two possibilities ~ a horizontal format and a vertical format, each one showing the location of the continents with flow line placement, location of the choropleth map and the legend. For each map a list of pros and cons was also created. The horizontal format allowed plenty of room to place the US in the center with the regions placed around the US with large flow lines directed to it. The horizontal layout seemed less busy, was very clear, and required shorter flow lines. The cons of the horizontal layout were that the regions were not viewed in their normal relationships to each other, and the map was very US-centric giving the impression that the US is of greater importance than the rest of the world. Although the purpose and focus of the map is to show immigration to the US from all other regions, the US-centric format was rejected eventually. On the other hand, the vertical format kept the US and the other regions of the world in their proper relationships, and the US was kept at the same scale as the other countries. 
preliminary sketch - vertical
Negative aspects of this format were that the flow line showing immigration from other parts of North America to the US was split and had to be joined near the arrowhead, and either the South American flow line had to cross the flow line coming from the region of Mexico/Central America or it would have to be placed in the already congested area of the east coast. That would be dealt with later, as this still seemed like the better layout choice.
The next step in the flow map-making process was to print out a preliminary layout for a working sketch. This involved placing the world map and choropleth map in an AI document and printing it out.
working sketch
Questions, notes, ideas, RGB colors for matching purposes, additions/deletions, and information that came up in discussion board postings as well as the flow lines were marked on this map or the initial hand-drawn sketch. This provided a way to keep all the necessary information and lab requirements organized and to minimize the possibility of leaving information out unintentionally. It was also a way to think out different ways of presenting the information prior to committing to making changes in Illustrator. With flow lines sized proportionally and matching the regions by color, the resultant map provides an easy to interpret comparison of immigration from different regions of the world. For specific immigration numbers, viewers can consult the chart included in the map. Ideally this chart would have included the color and size of flow line attributed to each 
region, but time constraints and other obligations precluded that this time.

Persons Obtaining Legal Permanent
U.S. Resident Status (By Region of Birth, FY 2007)
Choropleth colors were chosen to match the color of North America in the flow map. Normally the bar scale for a map would be placed lower than the legend of the map, but in this particular case it was placed closer to the map for ease of use. The orange color scheme of the choropleth map and the legend along with the size of the rectangles in the legend attract one’s attention directly to the legend from the choropleth map, so it still appears to rank higher visually if not physically.
While some aspects of using AI are becoming familiar, there is so much more to learn. Creating the flow lines was extremely difficult with each one requiring several attempts. Applying some of the special effects to the flow lines changed either the color, length or position of the flow lines with the longer lines impacted more severely than shorter lines. Because of this, only drop shadow was applied to the lines, and that had to be adjusted where the lines come together at the east coast of the US. Some workarounds for the other issues may be discovered with more practice. Throughout this map-making exercise, numerous copies of the map were saved at different stages to provide backup in case a special effect could not be undone for some reason. This exercise exemplified the extensive capabilities of Adobe Illustrator for creating or enhancing maps.

Friday, March 21, 2014

GIS3015 Module 9 Lab: Isarithmic Mapping

Utilizing contours formed by connecting points of equal values, isarithmic maps are useful for illustrating continuous data such as elevation and topography, barometric pressure, and precipitation. This module’s exercise focused on the average annual precipitation of Washington State and involved the completion of two isarithmic maps, one symbolized with the continuous tone method and the other symbolized with hypsometric tints.
As seen in the first map, the continuous tone technique is a proportionate tonal representation of each surface point’s value. Because this results in a gradual change in color with changes in quantity, distinguishing between quantities can be difficult when trying to relate the values in the legend with distinct locations on the map. That is why I chose to provide contour lines on this type of map. Contour lines provide “break points” in precipitation amounts relative to the legend.
Map 1: Continuous Tone Isarithmic Map
Average Annual Precipitation: Washington State (1981 - 2010)
Hypsometric tints were used for the second map. Hypsometric tinting has discrete breaks between ranges of values. The abrupt changes of color enable a viewer to more easily distinguish the differences between values. Unlike continuous tone maps, maps with hypsometric tinting can be used easily without contour lines. Creating the map from the data involved converting the raster data to integers and then manually forming classes to symbolize.
Map 2: Hypsometric Tints Isarithmic Map
Average Annual Precipitation: Washington State (1981 - 2010)

For both of these precipitation maps I selected a vertical-format legend for a couple of reasons. The first reason is that precipitation is a "vertical" measurement of volume (imagine a rain gauge) with values increasing toward the top. The other reason is that greater precipitation generally is associated with higher elevations. A vertical format legend echoes those relationships (lower/dryer, higher/wetter). Deciding which legend format to use was definitely the easier part of implementing it. Trying to remember where and how to change the symbology and format ended up being a bit time-consuming due to minimal experience.  I’m glad to say that that is improving with every lab exercise.  With their use of hillshading effect and vibrant color ramps, these maps rank among my favorites to create so far.

Sunday, February 2, 2014

Module 3 Lab: Cartographic Design

The purpose of this week's lab was to continue learning Adobe Illustrator to develop cartographic design skills during the process of creating a map of the Hispanic populations of south Florida counties.  The cartographic process was reinforced during this exercise, including the cartographic design aspects of visual weight, contrast, figure-ground, and balance.   This particular assignment was more involved than others, requiring a lot of rearranging of the choropleth map and essential elements, trying different paper orientations, printing out samples, and critiquing to achieve a satisfactory final product.  Throughout the exercise many of my AI skills got quite a workout and many new skills were learned, with just a few gasps and quick touches of Ctrl Z to undo scary errors.

Census data provided by UWF was already grouped for the legend, and those figures were adjusted per lab instructions.  A greater-than sign (>) at the beginning of each percentage class after the initial one indicates a clear distinction between adjacent percentage classes. Curiously, Charlotte County is missing from the map.  Perhaps this is due to a Hispanic population less than 3.3% or due to missing information in the data file.  Further investigation is warranted.  For clarity and to use up some white space, I added labels for the Atlantic Ocean and Gulf of Mexico.


Module 3 Lab:  Hispanic Populations of South Florida Counties

After numerous revisions and four potential submittals, I believe I have a map which provides an easy-to-read and easy-to-interpret collection of information regarding the percentages of Hispanics living in south Florida counties.