Na Gàidheil Agus An Ainmean-Àite an Albainn NuaidhHeather Smith, Centre of Geographic Sciences, Nova Scotia Community Collegehttp://www.nagaidheil.ca/An interactive map of Scottish Gaelic placenames in Nova Scotia, with audio files of their pronunciations. The map was made using Leaflet, jQuery, QGIS, CartoDB and Inkscape, and was a student-client project for Iomairtean na Gàidhlig, the Office of Gaelic Affairs in Nova Scotia. This map was created to offer Nova Scotians and visitors an opportunity to explore and experience the province in a language which was dominant in the northeast until quite recently. It is a tool for language learners and a means of restoring place names erased by past cartographers.
Unemployment Rate on U.S. Visibility Base MapJinlong Yang, San Diego State Universityhttp://jinlong25.github.io/vbm/vbm-demo.htmlThis map was created in an effort to implement the U.S. visibility base map [1] by Dr. Mark Monmonier for interactive web mapping as well as to help myself learning D3.js. The author found this highly generalized base map very suitable for interactive web mapping for three reasons: 1) easier to read and interact with on small touch screens; 2) tiny base map size (19kb in GeoJSON); and 3) no special treatment is needed for DC. The base map was generously provided by Dr. Monmonier in shapefile format and then converted to GeoJSON format by the author. The unemployment data was from U.S. Bureau of Labor Statistics [2].
[1] U.S. visibility base map: https://www.e-education.psu.edu/geog160/node/1881
[2] http://www.bls.gov/web/laus/laumstrk.htm
The Great TrekChristine Rosin, California State University, Chico http://www.csuchico.edu/geop/current/Student%20Map%20and%20GIS%20Project%20Gallery/2015%20maps%20-%20RenRosin.swfThe Great Trek was a mass migration of Boers, (Afrikaans for farmers) north and eastwards into the interior of South Africa in the 1830’s. Approximately 12,000 people traveled by means of ox-wagons in search of land primarily to escape British rule. The migrants were descended from Europe, most notably the Netherlands, Germany and France. My map charts the journey of Louis Tregardt and Johannes Jacobus Janse van Rensburg, the first two Voortrekker leaders from the start of the Great Trek in January 1835 until their deaths. I used Natural Earth Data, ArcMap, DEMs, and ArcMap profile builder, Photoshop, Illustrator and Adobe Flash to create this map.
Wikipedia Weather MapPeter Kerpedjiev, University of Viennahttp://emptypipes.org/2015/09/02/sunshine-map/index.html#themapThis project seeks to display the climate data obtained from Wikipedia on an interactive map. The map is divided into Voronoi cells corresponding to the locations for which Wikipedia has weather boxes. Viewers can select the time of the year and whether they want to see data for sunshine, precipitation, temperature or snowfall. By modifying the selected date ranges, this map makes it possible to observe the global changes in weather as the seasons change.
Step By Step Service Locator MapLaura Greenfield, University of Kentuckyhttp://lfgreenfield.github.io/step-by-step/
The Step By Step Service Locator Map is designed for staffers and participants of Step By Step, a nonprofit organization in Lexington, Kentucky providing assistance for under-resourced mothers, ages 14 to 24. The web-based tool connects mothers with services like counseling and childcare. The map is built with JavaScript using the Leaflet.js mapping library. The user can filter by various resource categories. Entering an address within a search form centers and zooms the map to a specific location, identifying nearby resources. Hover interaction displays specific information. Step By Step uses the map daily to efficiently assist young mothers. The map’s story is shared with the Lexington community through various news articles, including: UK News (http://uknow.uky.edu/content/uk-students-map-project-becomes-resource-under-resourced-young-moms) and a forthcoming article in the Herald Leader (http://www.kentucky.com/). The map represents a nonprofit, community-based GIS practice.
Transit Lens ** WINNERLucas Smith, University of Southern Californiahttp://transitlens.orgVisualizations of transportation systems—transit maps—have existed as long as the systems themselves. Today, however, digital technologies have removed the constraints of static transit maps, and the exploration of the boundaries of interactive visualization is just beginning. Transit Lens aims to further the burgeoning development of interactive transit visualizations, advancing visual presentation while keeping honest to accurate and valid transit information. Transit Lens uses real-world data to visualize the effects of frequency and time span of service on access. Unlike some of the flashier online maps, this data uses travel times from actual transit itineraries, rather than heuristics that ignore wait times and transfer layovers. As such, Transit Lens allows users to explore the facets of the transit network and see an accurate representation of what is within reach at different times of the day and week.
