http://yin.che.wisc.edu/images.htm
Monday, April 18, 2011
Correlation Matrix
http://yin.che.wisc.edu/images.htm
Nominal Area Choropleth Map
http://www.sptimes.com/election2000/map.shtml
DOQQ
Many of the DOQQ maps will generally contain color infrared technology.
This particular DOQQ is showing coastal Louisiana, highlighting the oceanic boundaries using a 1:100,000 grid.
http://www.lacoast.gov/maps/2004doqq/
Sunday, April 17, 2011
Similarity Matrix
A Similarity Matrix is a type of graph comprised of multiple squares that create the matrix. These squares are aligned in a sequence. Scores with larger numbers are assigned to characters which are very similar. Characters that are dissimilar are assigned negative numbers. The overall goal of this matrix is to express similarity between two different data points which are being observed.
The Similarity Matrix that is displayed shows the similarity of phenotypes for 10 bacterial strains. There are nine different boxes, each with a different design. Each box represents the percentage of similarity between any two strands. As you can tell, the boxes that are completely black show those strands that are the same, or 100% alike.
Coninuously Variable Proportional Circle Map
A Continuously Variable Proportional Circle map is a type of map in which circles of many different sizes and colors represent some set of data. In most cases the cartographer will use larger circles to represent the largest set of data being observed. A larger circle tends to represent a larger data value. Population size is not the only thing that can be inferred from a look at these maps - the continuously variable maps also use different colors within each circle to represent some set of information even further than just population size. These maps are very useful in situations where a cartographer wishes to show information such as major industries within a certain population of a country, etc.
In the Continuously Variable Proportional Circle map shown, the major industries of Germany are shown. It is clear that in the most heavily populated area, iron and steel and machinery and metal working are the most common industries.
Range Graded Proportional Circle Map
A Range Graded Proportional Circle map is a type of map in which circles of many different sizes are used to represent some value of data. The cartographer decides which size of circle will represent what values of data being studied. Typically the larger the circle, the larger the value of data being observed. One of the main reasons these maps are used is because they allow for symbol size discrimination, not only magnitude estimation.
The map displayed shows the 1990 population distribution in Africa. The largest of the circles represents most heavily populated areas. It is clear from this map that Nigeria is the most heavily populated area.http://www.d.umn.edu/geog/cartfolder/HTML%20Pages/Map-Types.htm
Unclassed Choropleth Mp
An Unclassed Choropleth Map was designed to avoid the problem that most other thematic maps seem to cause - fixing class limits. The Unclassed Choropleth map instead uses a continuous-tone scheme. Every region on this map has its own specific color that represents its value. The only exception to this would be due to there being extreme outliers - these values would fall into one of two classes on either side of the value range. If there is a very important threshold, there can be two separate color transitions to set class boundaries. In Unclassed Choropleth maps, the numeric value is converted directly into a proportional degree of darkness. The higher the object's value, the darker the shade of representation will be.
The shown diagram displays the fertility rate attribute values for countries in Europe. The maximum fertility rate would be 2.27 children per woman in Albania and it is represented by the darkest shade. The minimum rate of fertility is 1.13 children, in Bulgaria and is represented by the lightest shade.
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