Friday, April 23, 2010
Mental Map
Mental maps are maps that are congitively developed by each individual. Each individuals mental map will vary from person to person, for example, if two people were asked to draw a map of the same place.
Star Plots
Star plots are tools used to examine multiple data sets for one given object and compare them to one another. This star plot compares statistics of each vehicle such as HP, MPG...etc.http://images.google.com/imgres?imgurl=http://addictedtor.free.fr/graphiques/graphiques/graph_63.png&imgrefurl=http://addictedtor.free.fr/graphiques/graphcode.php%3Fgraph%3D63&usg=__sxidhX3R70XXFqEqLTQ345RF9ms=&h=500&w=500&sz=10&hl=en&start=10&um=1&itbs=1&tbnid=pflixI2RUZIaPM:&tbnh=130&tbnw=130&prev=/images%3Fq%3Dstar%2Bplots%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1
Correlation Matrix
A correlation matrix compares two different sets of data and the relationships between the two sets (correlation). Correlation matrices can determine whether two variables relate to each other very well or not at all. In this Matrix the correlation seems to be very strong between the variables.http://images.google.com/imgres?imgurl=http://www.livestockgenomics.csiro.au/Genome_to_Phenome/matrix32_blocked.png&imgrefurl=http://www.livestockgenomics.csiro.au/Genome_to_Phenome/&usg=__Yfd_2_IeD8SayFb7gH7f48l9Nl4=&h=597&w=622&sz=82&hl=en&start=2&um=1&itbs=1&tbnid=5QQiOkveFfGYEM:&tbnh=131&tbnw=136&prev=/images%3Fq%3Dcorrelation%2Bmatrix%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1
Similarity Matrix
A similarity matrix is a matrix (or box) of numbers which create a table that show a similarity between two sets of data. This example is a matrix used in gene sequencing.http://www.google.com/imgres?imgurl=http://politicalmaps.org/wp-content/uploads/2008/05/electoral-map-prediction-05222008.gif&imgrefurl=http://meganblomberg.blogspot.com/2009_04_01_archive.html&usg=__k1YAIfvcyY7bUWgXPiwluaSn4Q0=&h=474&w=742&sz=32&hl=en&start=158&itbs=1&tbnid=uetzXqw3j6roKM:&tbnh=90&tbnw=141&prev=/images%3Fq%3Dplanimetric%2Bmap%26start%3D147%26hl%3Den%26sa%3DN%26gbv%3D2%26ndsp%3D21%26tbs%3Disch:1
Stem and Leaf Plot
A stem and leaf plot is a way of organizing numerical data to show its distribution. The plot shown here represents the per capita GNP of Western Africa.
Box Plot
A box plot (or box and whiskers diagram) is a way of representing data through what is known as the 5 number summary. This includes the lowest value, lower quartile Q1, middle Q2, upper quartile Q3, and highest value as shown in this example. This example has no numerical data, but most box plots combine this with numerical data to specify where that data falls into the 5 number summary.
Histogram
A histogram is simply a graphical display of tabulated frequencies. This histogram shows the average salary for a company based on its employee population.
Parallel Coordinate Graph
Parallel coordinate graphs are used to compare large amounts of multivariate data. Each set of data uses the same x and y coordinates. This is a fairly small parallel coordinate graph of the amount of glucose, fructose, maltose, and saccharose in various vegetables and fruits, however, some parallel coordinate graphs can include hundreds of sets of data.
Triangular Plot
A triangular plot uses three variables compared to one another. This map uses three different areas of the Aelutian islands to compare the Hmax off Kaui for various slip allocations.http://images.google.com/imgres?imgurl=http://www.pmel.noaa.gov/maillists/tmap/ferret_users/fu_2007/jpgCqrZqdDwYG.jpg&imgrefurl=http://www.pmel.noaa.gov/maillists/tmap/ferret_users/fu_2007/msg00384.html&usg=__BbOkUttPv0jmFyojw9chRDfwJaU=&h=464&w=463&sz=135&hl=en&start=2&um=1&itbs=1&tbnid=lX7Ktsi11XtDBM:&tbnh=128&tbnw=128&prev=/images%3Fq%3Dtriangular%2Bplot%26um%3D1%26hl%3Den%26sa%3DN%26gbv%3D2%26ndsp%3D21%26tbs%3Disch:1
Wind Rose
A wind rose is a tool used to determine the distribution of wind speed and direction for a given location. They are always in circular form and depict every direction. This wind rose example does not say what location the data is from, but one can easily assume that wind was coming from the southeast a majority of the month at a wide variety of speeds.http://images.google.com/imgres?imgurl=http://www.nws.noaa.gov/mdl/pgb/AvnFPS/3.2/html/images/cli-new4.png&imgrefurl=http://www.nws.noaa.gov/mdl/pgb/AvnFPS/3.2/html/climate-new.html&usg=__nnlpXgQqBxWubOR5dhuS04KZHX4=&h=574&w=532&sz=188&hl=en&start=18&um=1&itbs=1&tbnid=FG2VO8Ng48yg-M:&tbnh=134&tbnw=124&prev=/images%3Fq%3Dwind%2Brose%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1
Climograph
Climographs represent the monthly levels of precipitation and temperature of a location. Anyone who has pulled up a long term weather forecast on the internet has probably seen a climograph. This climograph charts out the precipitation and temperature averages for each months for the city of Honolulu, Hawaii.
Population Profile
Population Profiles are often portrayed in a pyramid-like form representing population statistics over a given time. This map is of Saxony, and it represents a very backwards trend, with a small infant population and a lare adult population, which could imply lack of reproduction or high infancy death rates. For developed countries, there is usually a much more defined pyramid-like shape to the population profile.http://images.google.com/imgres?imgurl=http://www.sachsen.de/en/img/413_bevstruktur.jpg&imgrefurl=http://www.sachsen.de/en/225.htm&usg=__mWjhVsmM9xGi_RccqPT34NiI-7I=&h=618&w=413&sz=75&hl=en&start=18&um=1&itbs=1&tbnid=7-38nujySWuz6M:&tbnh=136&tbnw=91&prev=/images%3Fq%3Dpopulation%2Bprofile%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1
Scatter Plot
A scatter plot is used to plot the data of two variables in order to determine a pattern, or lack thereof. This scatter plot doesnt represent any particular variable, but illustrates the kind of result a scatter plot may produce, showing an obvious increasing trend.http://images.google.com/imgres?imgurl=http://www.netmba.com/images/statistics/plot/scatter/scatterplot.gif&imgrefurl=http://www.netmba.com/statistics/plot/scatter/&usg=__KjtT1wjlB4P5vu-XZGQ5FdqYGlM=&h=217&w=268&sz=4&hl=en&start=2&um=1&itbs=1&tbnid=Mu2181B_9_0hnM:&tbnh=91&tbnw=113&prev=/images%3Fq%3Dscatter%2Bplot%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1
Index Value Plot
An index value plot is a graph that plots the data of a variable within a range rather than plotting specific points. This map shows the average streamflow index between March and April 2010. http://images.google.com/imgres?imgurl=http://waterwatch.usgs.gov/regplots/real/real_us_2.gif&imgrefurl=http://waterwatch.usgs.gov/%3Fm%3Dreal%26w%3Dplot&usg=__SkLsaX_xX2VHXAW_RzHpPuLd5-8=&h=450&w=550&sz=7&hl=en&start=12&um=1&itbs=1&tbnid=W4WSMU1TKFatsM:&tbnh=109&tbnw=133&prev=/images%3Fq%3Dindex%2Bvalue%2Bplot%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1Lorenz Curve
A Lorenz Curve (or accumulative line graph as it is also known) compares the distribution of two variables against each other to determine whether distribution is equal or unequal. Unequal distributions will always result in two lines, whereas equal distribution would result in one solid 45 degree line. This Lorenz curve compares the cumulative percent of income with the cumulative percent of population. http://images.google.com/imgres?imgurl=http://content.answers.com/main/content/img/oxford/Oxford_Geography/0198606737.lorenz-curve.1.jpg&imgrefurl=http://www.answers.com/topic/lorenz-curve&usg=__kCju4PszStY8ppn7wcrjpTzHFwk=&h=436&w=431&sz=27&hl=en&start=1&um=1&itbs=1&tbnid=hwE39wO2MLKC8M:&tbnh=126&tbnw=125&prev=/images%3Fq%3Dlorenz%2Bcurve%26um%3D1%26hl%3Den%26gbv%3D2%26tbs%3Disch:1
Bilateral Graph
Bilateral graphs are graphs that compare two sets of data to one another using the same x and y planes. This bilateral graph shows the trade-weighted index of the Australian dollar between the TWI and ATWI weights.http://images.google.com/imgres?imgurl=http://www.rba.gov.au/publications/bulletin/2008/feb/images/aug-twi-aus-dol-graph4.gif&imgrefurl=http://www.rba.gov.au/publications/bulletin/2008/feb/1.html&usg=___NpUIrFEE4qKGqTg3viUuDyVAGs=&h=526&w=665&sz=41&hl=en&start=15&um=1&itbs=1&tbnid=4dQ05sBtGjkOZM:&tbnh=109&tbnw=138&prev=/images%3Fq%3Dbilateral%2Bgraph%26um%3D1%26hl%3Den%26sa%3DN%26gbv%3D2%26tbs%3Disch:1
Nominal Area Choropleth Maps
Nominal area choropleth maps use nominal data to show measurable differences in a variable from area to area. This map represents the percentage of black condo owners in California. The map is planimetric, thematic, statistical, classed, univariate, and a type of choropleth map.
Univariate Map
A univariate choropleth map, unlike a bivariate choropleth map, shows only one set of data rather than two. This map shows the population per square mile by state. It is planimetric, thematic, classed, statistical, and a type of choropleth map.
Bivariate Choropleth Maps
Bivariate choropleth maps use two different sets of data combined into one map using colors and symbols. These maps can be classes or unclassed, and the two sets of information are usually purposely paired together to go hand in hand. This map shows the crime rates in 2003 vs the election results in 2004 between Bush and Kerry. This map is planimetric, thematic, statistical, classed, and a type of choropleth map.
Unclassed Choropleth Maps
Unclassed choropleth maps assign shadings that are proportional to the data, requiring no classification of the data. This gives each value a unique shading of color. This map shows the 2004 presidential votes to each state's electoral votes. This map is planimetric,thematic, statistical, and a type of choropleth map.
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