1. WILDFIRE SMOKE IN OREGON. The following shows a map of smoke sensitive areas in Oregon during the Summer of 2017. This map, more specifically, shows counties that are affected by the smoke and the population of each. This map was created using QGIS, and features vector data, (county outlines, smoke sensitive areas,) and satellite imagery as a base map. This map features standard mapping concepts and features a north arrow, legend, and a scale bar.
2. POLICE PRECINCTS IN MANHATTAN. The following shows a map of Manhattan, Queens, Brooklyn and the Bronx and displays the police precincts in the area. This map also displays the major streets in the surrounding area, as well as the surrounding state, New Jersey. This map uses the GCS_WGS_1984 coordinate system for its projection. The map contains vector data: point data, (precinct locations,) and polygonal data, (shape file of city limits.) This map follows standard mapping concepts and includes a north arrow, a neat line, labels, and a ratio for scale.
3. US POPULATION IN 2010 BY COUNTY. The following represents the population of the contiguous 48 states in 2010 as a dot density map. Each red dot on the map is valued at 10,000 people, as shown under the title. One feature that this map has that is different from the previous map shown above is the addition of a graticule. This map also features vector data: polygonal data, (state boundaries,) and point data, (population.) Like in the previous map, this map features a north arrow, neat line, and scale bar. I am very proud of this map; I think that the contrasting colors work very well.
4. ANTARCTIC TERRITORIAL CLAIMS. The following is a thematic map showing the current territorial claims on the continent of Antarctica. This project was created using QGIS. The vector polygonal data was sourced from earthworks.stanford.edu and NASA. This map follows standard cartographic technique with a graticule, good symbology, and a detailed legend. Furthermore, this map features an offset background on the continent to give it more depth.
5. MAJOR EARTHQUAKES IN OREGON AND ITS SURROUNDING AREAS. The following shows a map of the coastal Pacific Northwest and major earthquakes since 2150 BC. These data are from NOAA’s National Geophysical Data Center, and the map was created in QGIS. The points on this map are well labeled with the name of the area where the earthquake occurred. The earthquake data being shown are vector point data. This map features standard mapping design with a scale bar, neat line, title, and labels.
6. FIRE HOUSES IN NEW YORK CITY. The following shows a choropleth map of the relationship between population data in New York City and the number of fire houses. The red dots represent fire houses, and the colored areas indicate population density. The data for population was broken into 5 categories, from white to black where the darker areas mean a larger population, and lighter areas mean a smaller population. 5 categories were chosen using a natural breaks algorithm so as not to clutter the map with a large number of classes which could make the map difficult to read.
7. VOTER TURNOUT (2016 U.S. ELECTION). The following is a map of voter turnout in the 2016 presidential election by state made in QGIS. This map uses a vector shape file to outline the states, while the turnout data was entered by hand into an attribute table. The turnout data was retrieved from www.electproject.org/2016g. The data classification was defined by a natural breaks algorithm. This map features some standard map design with a title, legend, and well defined classes.
8. OUT OF HOSPITAL CARDIAC ARRESTS (OHCA). The following is a map of Pittsburgh, Pennsylvania. Specifically, it is a map showing the frequency of out of hospital cardiac arrests, (OHCA) in the Pittsburgh area every year. This map uses a combination of vector point data, (the yellow spheres,) and raster data, (the topography layer and the city layer.) This map features standard map design with a title, legend, neat-line, and well defined classes.