Tuesday, October 14, 2008

Map# 51: Remote Sensing Mapping



This is a map used to represent the top level domain (TLD) name system of the internet. The TLDs are visualized and linked as KML. The map and additional info on this project can be found at http://www.zook.info/tld_map.html

Sunday, October 12, 2008

Map# 50: Star Plots


Star Plots show multiple varying data. When combined with other star plots, the viewer can compare a variety of observations. This analysis shows star plots for 16 different 1979 automobile models comparing 9 different variables of Price, Mileage (MPG), 1978 Repair Record (1 = Worst, 5 = Best), 1977 Repair Record (1 = Worst, 5 = Best), Headroom, Rear Seat Room, Trunk Space, Weight, and Length.

Map# 49: Correlation Matrix


A Correlation Matrix shows the strength and direction of relationship between two variables, or simply put, how closely correlated two items under consideration are. In the financial world, this could be used to depict how closely related two different stocks are or, as this correlation matrix does, showing correlations between the S & P 500, 10 different sectors, gold, oil, and the 10 year Treasury note. The numbers in green show higher correlation than numbers in red.

Map# 48: Similarity Matrix


A Similarity Matrix is utilized to highlight the likeness or similarity of two separate data points. This similarity matrix was used in a study to determine the similarity bewteen two videos.

Map# 47: Stem and Leaf Plot


A Stem and Leaf Plot organizes data in order to show its shape and distribution. In this instance, the number 12 is depicted as 1 under the stem, and 2 under the leaf. Likewise, 13 is depicted as 1 under the stem and 3 under the leaf. This stem and leaf plot shows a distribution of 2 values between 10 and 19, 2 values between 20 and 29, 4 values between 30 and 39, and 3 values between 40 and 49. The largest distribution is between 30 and 39. This plot can be found at the following web site: http://www.glencoe.com/sec/math/studytools/cgi-bin/msgQuiz.php4?isbn=0-02-833050-1&chapter=2&lesson=6

Map# 46: Box Plot


A Box Plot shows ranges of data within statistical summaries. This box plot was used in an experiment on the speed of light.

Map# 45: Histogram


A Histogram depicts information a a bar type format. Unlike a normal bar chart, the bars of a histogram different in width rather than height. In this histogram, notice the changing width of the bars as the travel time (bottom axis) increases.

Map# 44: Parallel Coordinate Graph


A Parallel Coordinate Graph is used to graph large multi variate sets of data. This complicated parallel coordinate graph captures multiple baseball statistics.

Map# 43: Triangular Plot


A Triangular Plot is a way to graphically depict information related to three variables. This triangular plot shows the relationship between sand, clay, and silt in a specific soil sample composition.

Map# 42: Windrose


A Windrose does esentially for wind speed and direction what the Climograph does for temperature and precipitation. A Windrose shows the distribution of wind speed and direction at a given location. This Windrose shows distribution of wind speed and direction at Fresno, CA airport.

Map# 41: Climograph


A Climograph graphically highlights the temperature and precipitation of a given location. This climograph shows temperature and precipitation for Memphis, TN

Map# 40: Population Profile


A Population Profile highlights various elements pertinent to a given population. This population profile highlights the age ranges in the country of Gambia

Map# 39: Scatterplot



A Scatterplot shows the relationaship between two variables by depicting two data points on a graph. This scatterplot depicts the relationship between a husband's and a wife's age.

Map# 38: Index Value Plot


Index Value Plot of a specific wine's price over time indexed to $100 in 1995.

Map# 37: Lorenz Curve


The Lorenz Curve was originally devised by Max Lorenz as a way to depict income distribution.

Map# 36: Nominal Area Choropleth Map


A Nominal Area Choropleth map showing religious adherents throughout the United States.

Map# 35:Standardized Choropleth Map


A Standardized Choropleth map depicting percent of Canadian population who are age 14 and under.

Map# 34: Univariate Choropleth Map


A Univariate Choropleth map focuses on one theme. Here the focus is on Farm Income throughout the United States.

Map# 33: Bivariate Choropleth Map


A Bivariate Choropleth Map. This map uses horizontal and vertical lines to differentiate between business and residential land use.

Map# 32: Unclassed Choropleth Map


This is an Unclassed Choropleth map of Montana. Notice the different attempts to create various differences in shading. These maps are not utilized as much as the classed Choropleth map.

Map# 31: Classed Choropleth Map


A Classed Choropleth map depicting percent of Hispanic or Latino population in the state of Florida.

Map# 30: Range Graded Proportional Circle Map



A Range Graded Proportional Circle Map of population in Canada. Notice the smaller circles within the larger circles providing more detail than the previous circle Map of the US population.

Map# 29: Continuously Variable Proportional Circle Map


A Continuously Variable Proportional Circle Map of United States population estimates. Notice how readily the viewer can get a sense of population sizes by quickly glancing at the legend and comparing circle sizes.

Thursday, October 9, 2008

Map# 28: Digital Ortho Quarter Quads (DOQQ) Map.


Digital Orthophotos are images which depict a uniform scale. Because of this, it is possible to measure directly on it like other maps. These maps can be used as base maps for additional overlays for a variety of information. The example above is a 3-D view of Salem, NY. This map was produced with complicated mapping techniques detailed at Terrainmap.com edited by John Childs.

Wednesday, October 8, 2008

Map# 27: Digital Elevation Model (DEM)


DEMs are the most used basis for digitally produced relief maps. These maps are a digital representation of ground surface topography or various terrain. They are formed from either land surveying or, more often, remote sensing techniques. They are also called digital terrain models. Notice the level of detail that is obtained on the DEM map above.

Map# 26: Digital Line Graph (DLG)


Above is a DLG 1: 2,000,000 scale map of Missouri depicting Boundaries, hydrography, and roads. DLG maps are derived from USGS DLG databases. They are high resolution maps containing outlines of a variety of features such as: country and coast lines, state outlines, county outlines, roads, railroads, streams, lakes and islands, major city outlines, and military reservations to name a few.