Tuesday, November 19, 2013

Bivariate Map Examples















The above map uses pie chart symbols to represent five different types of industry. Source: http://www.lib.utexas.edu/maps/europe/poland_ind_1977.jpg














This map is a series that shows multiple data sets. The map would be very difficult to interpret if all of the data sets were plotted on one base map. Source:http://www.library.utexas.edu/maps/islands_oceans_poles/sri_lanka_charts_76.jpg

Monday, November 11, 2013

Female Population of West Virginia


Density Map of Every Geotagged Wikipedia Article














The above image is an example of a dot density map. Each yellow dot in the map above represents one geotagged article (in English) on Wikipedia. The source website produced several of these maps that show data for different languages used.
Source: http://www.theguardian.com/news/datablog/2011/nov/11/wikipedia-map-world-languages

Thursday, November 7, 2013

Final Project Proposal


  Another course I’m enrolled in this semester is GGS 380: Geography of Virginia. In the course, there is an ongoing assignment that requires students to write weekly field trip reports for a specific site. For my site, I chose my neighborhood: Cardinal Crest subdivision in Woodbridge, Virginia. Some of the topics discussed this far were geology, hydrology, natural areas, transportation, and settlement patterns. In each of my site reports, there’s usually at least one map. The maps aren’t necessarily the best they can be. I’ve often had to rely on Google Maps or the Prince William County mapper, and then adding my own “sophisticated graphics,” as witnessed below.



  The two maps above show the elevation through the use of contour lines. The downside is that they are a pain to interpret! Look at Figure 2 (from the Prince William Mapper); while it’s nice to see the contours overlaying the aerial imagery, the map seems cluttered (and has bad labeling). Figure 3 (from USGS) is cleaner, but it’s still difficult to find the exact elevation for a specific point. I’m used to topographical maps having a bold contour line every ____ intervals; neither map has that interpretation aid. Another issue I've encountered when searching for maps is that, at the scale I need, labels are sometimes nonexistent.

   As our final project for that course, we will be combining all of our site reports into one neighborhood profile report.  I want to create a map of the neighborhood.   The intended purpose of this map is to be an all-inclusive reference map for Cardinal Crest subdivision. While the final product will be used in another project, residents within the neighborhood may find the map useful. When my family decides to sell our home, the map could be provided along with other household documents that will familiarize the new owners with the area.

  My neighborhood is actually connected to two other neighborhoods, and all three neighborhoods will be included in the map. There are several features that will be included, at a minimum: elevation, common areas, water features, roads, and sidewalks.  Other features could be school locations, wooded areas, property lot boundaries, parks, and certain retail establishments (like gas stations or grocery stores). Because of the amount of data associated with Cardinal Crest that I want to display, I’m considering doing a smaller scale map (to show features outside of the neighborhood) accompanied by a large scale map to show details inside the neighborhood.

   The obvious first step is gathering all of my required data. The base map will likely be a road map imported from ArcGIS. ArcGIS Online will be my primary data source, in addition to the stockpile of GIS data I already have. Prince William County’s GIS department would be a logical data source; however I would rather not pay for data.


    Because the use of standard contour lines on my example maps is so difficult to interpret, hypsometric tints would be used on my map. One of major design decisions to make is to determine what features should be displayed on each map. I would like to be able to show elevation contours and wooded areas on the same map. While I would prefer to show wooded areas using polygons, it would make the map messy and cover up the elevation layer underneath. The best solution would be to use physiographic symbols to represent wooded areas.  

The above image is an inspirational map for this assignment. Source: http://www.stone-crossing.com/images/03-06update/wood_sc_neighborhood_map4.jpg