Star Plot

A star plot allows for the comparison of multiple variables of different types of data. For example, here the model is comparing 1-9 different types of data of 16 different cars. Note the similarities between the Buick Electra and the Cadillac DeVille.





(http://images.google.com/imgres?imgurl=http://www.itl.nist.gov/div898/handbook/eda/section3/gif/starplot.gif&imgrefurl=http://www.itl.nist.gov/div898/handbook/eda/section3/starplot.htm&usg=__brRSSJMv9BmxEcBW7Lip5DAHakA=&h=280&w=380&sz=4&hl=en&start=2&um=1&itbs=1&tbnid=Zy5ubhyj-artSM:&tbnh=91&tbnw=123&prev=/images%3Fq%3D%2522star%2Bplot%2522%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DG%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Correlation Matrix

This matrix correlates the different attributes of wine.











http://images.google.com/imgres?imgurl=http://rattle.togaware.com/rattle-correlation.png&imgrefurl=http://tolstoy.newcastle.edu.au/R/e2/help/06/09/1249.html&usg=__veSd2Vj5q9yhWfMfxJC2OX_W1z0=&h=492&w=480&sz=121&hl=en&start=16&um=1&itbs=1&tbnid=RmrwbvVOLZ9v1M:&tbnh=130&tbnw=127&prev=/images%3Fq%3DCorrelation%2BMatrix%26um%3D1%26hl%3Den%26safe%3Doff%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1

Similarity Matrix

This matrix compares similarities between different types of organisms and inanimate objects. The darker areas suggest a similarity.








(http://images.google.com/imgres?imgurl=http://www.lems.brown.edu/vision/people/leymarie/Refs/CompVision/Ridges/Figs/similar.gif&imgrefurl=http://www.lems.brown.edu/vision/people/leymarie/Refs/CompVision/Ridges/Shinagawa.html&usg=__7EGr-MwoenD8D0c4EFU2TN3x-lc=&h=594&w=731&sz=78&hl=en&start=26&um=1&itbs=1&tbnid=5SEo0mmVgBwleM:&tbnh=115&tbnw=141&prev=/images%3Fq%3Dsimilarity%2Bmatrix%26start%3D18%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26ndsp%3D18%26tbs%3Disch:1)

Stem and Leaf Plot

These types of plots are a valuable way to show small amounts of information.











(http://images.google.com/imgres?imgurl=http://www.qub.ac.uk/lskills/TLTP3/WN/stem%2520and%2520leaf.gif&imgrefurl=http://www.qub.ac.uk/lskills/TLTP3/WN/NumeracyDiagrms.html&usg=__YXKvgOpuJ8mkwVuVSp_kIzLdHX0=&h=334&w=284&sz=5&hl=en&start=46&um=1&itbs=1&tbnid=mmt_11itfgvCGM:&tbnh=119&tbnw=101&prev=/images%3Fq%3Dstem%2Band%2Bleaf%2Bplot%26start%3D36%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26ndsp%3D18%26tbs%3Disch:1)

Box Plot

"Box Plot representation of distances covered by First Division Brazilian soccer players (n = 55) according to playing positions after 90 minutes of play, including only those who played the whole game. The players were classified in five positional groups: central defenders (CD, n = 15), external defenders (ED, n = 12), central midfield players (CM, n = 11), external midfield players (EM, n = 9) and forwards (F, n = 8)."
(http://www.jssm.org/vol6/n2/11/F4.htm)
This type of data representation is good in understanding groups of numerical data. It looks like the Central Defender came in first.

Histogram of Precipitation

This histogram was compared with another in order to understand reflectivity rates for a dual polarization radar. It's all very complicated actually.








(https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtEWzPMW1DpQyAeNVyBm3T3mmJ9CN6RmOja_Vpbz9pwZeD3lkGli9OdMI9Yf5_1iH_UasrFJzHIXtOkSOJlN349v4joTm23JtHBhyd7Hh8Tb24Swavi-UtXw1P8NnlAY4OrxgvqXYMo2g/s1600/500px-Zdr_comet_histogram_combined.gif)

Parallel Coordinate Graph

This type of graph plots points lying on a common line or plane create readily perceived structures in the image.





(http://images.google.com/imgres?imgurl=http://www-vis.lbl.gov/Events/SC08/Drosophila/3DParallelCoordinates.png&imgrefurl=http://www-vis.lbl.gov/Events/SC08/Drosophila/&usg=__8353rIfmSqHeiG0rEL8xPthcKxg=&h=590&w=1200&sz=786&hl=en&start=1&um=1&itbs=1&tbnid=1eqzdDpXBn1btM:&tbnh=74&tbnw=150&prev=/images%3Fq%3Dparallel%2Bcoordinates%2Bgraph%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Triangle Plot

A triangle plot or ternary plot is a graph , most often used in geologic studies to show the relative compositions of soils and rocks.





(http://www.google.com/imgres?imgurl=http://www.ngdc.noaa.gov/mgg/image/ternarycomposition.gif&imgrefurl=http://www.ngdc.noaa.gov/mgg/curator/curatorcoding.html&h=560&w=560&sz=40&tbnid=jwhrr9DclEuhMM:&tbnh=133&tbnw=133&prev=/images%3Fq%3Dternary%2Bdiagram&usg=__4eBRCNuabEBWMtqtU8M0e4dQ0bk=&ei=vi-hS_G0GIyutgeTiNHyBw&sa=X&oi=image_result&resnum=4&ct=image&ved=0CBIQ9QEwAw)

Wind Rose

Windrose graphs are used to present wind speed data and wind direction data collected over time at a specific location





(http://images.google.com/imgres?imgurl=http://www.climate.washington.edu/windrose/Olympia-WindRose.jpg&imgrefurl=http://www.climate.washington.edu/climate.html&usg=__2Lbh5-o9OqH0_PcJiNYp9tSTHBY=&h=469&w=469&sz=31&hl=en&start=22&um=1&itbs=1&tbnid=bM2lzZYdDMpS1M:&tbnh=128&tbnw=128&prev=/images%3Fq%3Dwindrose%2Bgraph%26start%3D18%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26ndsp%3D18%26tbs%3Disch:1)

Climograph

A climograph is a graph depicting average precipitation and temperature data.








(http://www.uwsp.edu/geo/faculty/ritter/glossary/A_D/climograph.html)

Population Profile

A population profile is a chart showing the number of people as a function of their ages.








(http://images.google.com/imgres?imgurl=http://www.populationaction.org/Publications/Reports/The_Shape_of_Things_to_Come/asset_upload_file420_6098.gif&imgrefurl=http://www.populationaction.org/Publications/Reports/The_Shape_of_Things_to_Come/Chapter_Six_Subtypes_and_a_Speculative_Structure.shtml&usg=__oWn877lcd5RNnRcQ-kc8XJblXEw=&h=354&w=432&sz=11&hl=en&start=4&um=1&itbs=1&tbnid=YYYyV5F8AdzCcM:&tbnh=103&tbnw=126&prev=/images%3Fq%3Dpopulation%2Bprofile%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Scatter Plot

A scatter Plot is a way to understand continuities or discontinuities between two data sets. Note the plot moving from bottom left to upper right. That indicates a positive correlation. The opposite (top left to bottom right) would indicate a negative correlation.



(http://images.google.com/imgres?imgurl=http://www.mzandee.net/~zandee/statistiek/stat-online/chapter4/graphics/age_scatterplot.gif&imgrefurl=http://www.mzandee.net/~zandee/statistiek/stat-online/chapter4/pearson.html&usg=__914qCRxxlhsZIPs0iySmpD34iRY=&h=350&w=385&sz=5&hl=en&start=1&um=1&itbs=1&tbnid=nOUtkebkMbVnJM:&tbnh=112&tbnw=123&prev=/images%3Fq%3Dscatter%2Bplot%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26hs%3DorJ%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Index Value Plot

An index is a statistical indicator or number taken from a formula used to characterize a set of data.
http://images.google.com/imgres?imgurl=http://www.exitcharleston.com/xSites/Agents/ExitRealtyCharlestonGroup3/Content/UploadedFiles/charleston%2520sc%2520real%2520estate%2520home%2520value.jpg&imgrefurl=http://www.exitcharleston.com/Charleston-SC-Real-Estate-Home-Value-Index-Is-Now-Prepared-by-the-College-of-Charleston&usg=__fGIWlSIx-8Ilxng4nphKw_SHJmE=&h=662&w=912&sz=70&hl=en&start=9&um=1&itbs=1&tbnid=vwKtZ1Sa8Ze2aM:&tbnh=107&tbnw=147&prev=/images%3Fq%3D%2522index%2Bvalue%2B%2B%2522%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Lorenz Curve

"Progressivity of Social Security: Illustrative examples using stylized Lorenz curves"(www.ssa.gov/.../docs/issuepapers/ip2009-01c2.gif)

Bilateral Graph

This graph shows information for two different sets of data, those in 2008 and 2009. That is the purpose of a bilateral graph.




(http://www.gallup.com/poll/125066/State-States.aspx)

Nominal Area Choropleth Maps

This map only needs to differentiate between differing types of vegetation.








(http://www.miamisci.org/ecolinks/mapbiosphere.html)

Unstandardized Choropleth map

This map is not aerially averaged. The data is in raw numbers of people. This is not a very informative map.








(http://www.gallup.com/poll/114016/State-States-Political-Party-Affiliation.aspx)

Standardized Choropleth map

"The data set consists of 12 ASCII-grids with mean monthly data in mm/day * 10, and one ASCII-grid with yearly data in mm/year."(http://www.fao.org/geonetwork/srv/en/metadata.show?id=5019&currTab=summary) The data is aerially averaged by the 12 grids and the mean monthly and yearly data. and classed in equal intervals of 100 mm/year.

(http://www.fao.org/geonetwork/srv/en/metadata.show?id=5019&currTab=summary)

Univariate Choropleth Map

This map shows the world's irrigated areas courtesy of the U.N. This map is useful in understanding water resources worldwide, which is a major issue for many countries.



(http://www.fao.org/geonetwork/srv/en/metadata.show?id=5020&currTab=summary)

Bivariate Choropleth maps

This type of map shows two separates variable on one map. Notice the differing colors and gradients of color for each type of information




(http://proceedings.esri.com/library/userconf/proc99/proceed/papers/pap171/p171.htm)

Unclassed Choropleth Map

This map becomes un-classed by using continuous grey scale.


(http://images.google.com/imgres?imgurl=http://www.agocg.ac.uk/reports/visual/casestud/dykes/figure11.gif&imgrefurl=http://www.agocg.ac.uk/reports/visual/casestud/dykes/issue3_1.htm&usg=__421XADjdHS7bnzDj0o4stIL3SoU=&h=336&w=405&sz=14&hl=en&start=71&um=1&itbs=1&tbnid=ecJ6eNMPHR_MqM:&tbnh=103&tbnw=124&prev=/images%3Fq%3Dchoropleth%2Bmap%2Bunclassed%26start%3D54%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26ndsp%3D18%26tbs%3Disch:1)

Classed Choropleth

Notice the classes and how they are broken up into intervals of percentage. A map like this gives basic information about populations but can be oversimple.

(http://images.google.com/imgres?imgurl=http://my.ilstu.edu/~jrcarter/Geo204/Choro/Tom/hispanic_race_fl-H1_FINAL.gif&imgrefurl=http://my.ilstu.edu/~jrcarter/Geo204/Choro/Tom/&usg=__t_X3eV8uYDorcHHtJ_IC8nsiQSs=&h=375&w=500&sz=13&hl=en&start=1&um=1&itbs=1&tbnid=O4EbIah7kzga4M:&tbnh=98&tbnw=130&prev=/images%3Fq%3Dchoropleth%2Bmaps%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Range Graded Proportional Circle Map

Note the ranges of grading for the population densities.



(http://www.neiu.edu/~ejhowens/377/examples.htm)

Continuously Variable Proportional Circle Map

This is a new integrated tsunami research project from the Tsunami Research Lab in Russia.



(http://tsun.sscc.ru/IMP_wld_proj.htm)

DOQQ Map of Coastal Louisiana 2004

A conventional aerial photograph contains image displacements caused by camera lens distortion, camera tip and tilt, terrain relief, and scale. An aerial photograph does not have a uniform scale, therefore, is not a map. The effects of camera tilt and terrain relief are removed through a rectification process to create a computer file referred to as a digital orthophoto. A digital orthophoto is a uniform scale photographic image and can be considered a photographic map.

(http://images.google.com/imgres?imgurl=http://www.lacoast.gov/maps/2005doqq/la_doqq.gif&imgrefurl=http://www.lacoast.gov/maps/2005doqq/&usg=__pKg6dWlKXKRgs41D-jmDVPOq7Ts=&h=451&w=584&sz=84&hl=en&start=13&um=1&itbs=1&tbnid=vombHZLNLGeaPM:&tbnh=104&tbnw=135&prev=/images%3Fq%3DDOQQ%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

DEM maps

This is a Digital Elevation Model(DEM) of Afghanistan. Note the severe height of the Hindu Kush mountains. New maps are being generated using rasters and satellite imagery overlays.


(http://www.joelertola.com/topo/topo_afghan2.html)

DLG Map

This USGS Digital Line Graphic map uses corresponding latitude and longitude to plot elevation. A map like this one could be used in a variety of ways.



(http://images.google.com/imgres?imgurl=http://weather.unisys.com/usgs/usgs-US.gif&imgrefurl=http://weather.unisys.com/usgs/index.html&usg=__wjsHc6T3NvNLgMLLzUDk17RAAic=&h=512&w=768&sz=140&hl=en&start=8&um=1&itbs=1&tbnid=J9wS5eA_46E3pM:&tbnh=95&tbnw=142&prev=/images%3Fq%3DThis%2BUSGS%2BDigital%2BLine%2BGraphic%2Bmap%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

DRG Maps

DRGs are created by scanning paper maps at 250 pixels per inch resolution. Since at 1:24,000 1 inch on the map represents 2,000 feet on the ground, each DRG pixel corresponds to an area about 8 feet (2.4 meters) on a side. Each pixel is associated with a single attribute: a number from 0 to 12. The numbers stand for the 13 standard DRG colors


(http://www.forestpal.com/DRGs.html)

Isopleth Map

Isopleth maps can be used in a variety of fields and for limitless purposes. Essentially, Isopleth maps show information in an arc, projecting density as visual information.



(http://nadp.sws.uiuc.edu/maps/Default.aspx)

Isopach Map

Isopach maps (top left projection)are used to measure rock or sediment thickness. This map is measuring limestone/shale thickness in upper New York state


(http://images.google.com/imgres?imgurl=http://www.searchanddiscovery.com/documents/2007/07022lash/images/ani04.gif&imgrefurl=http://www.searchanddiscovery.net/documents/2007/07022lash/index.htm&usg=__pYyJ2M4QmXUChs3Hy8miD1lAO34=&h=425&w=600&sz=209&hl=en&start=15&um=1&itbs=1&tbnid=CHpTWxVBDvBBkM:&tbnh=96&tbnw=135&prev=/images%3Fq%3Disopach%2Bmap%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Isohyet Map

Isohyets are corresponding lines of rainfall in millimeters. Heavy weather systems have been inundating much f the world this season. As the Earth changes, and Humans change the Earth, weather models become ever increasingly important.


(http://images.google.com/imgres?imgurl=http://www.waterplan.water.ca.gov/docs/portfolio/faf_data/precip/precip_1998_w-percent.jpg&imgrefurl=http://www.waterplan.water.ca.gov/waterpie/precip/precip.cfm&usg=__UraUicEOkDoMHoymBnWkXenT3Nk=&h=1024&w=784&sz=157&hl=en&start=5&um=1&itbs=1&tbnid=BiE5cH0wgJXD9M:&tbnh=150&tbnw=115&prev=/images%3Fq%3Disohyetal%2Bmap%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Isotach

Isotach maps are a measurement of wind speed, usually measured every hour or more. These lines are called wind bars which indicate wind speed ans wind direction. Note their likeness to a weather vane. The back of the vain is where you will see the smaller bars indicating wind speed. The short bar indicates 5mph/knots, the longer ten mph/knots and a flag indicates 50 plus mph/knots. These barbs help in understanding weather pattern and predicting weather. The wind speed and direction as well as barometric pressure all work together in predicting weather.


(http://images.google.com/imgres?imgurl=http://www.rap.ucar.edu/weather/surface/us_mslp.gif&imgrefurl=http://www.nrlmry.navy.mil/~chu/tclinks.htm&usg=__1CffXtNZcgwkdRB_fxXHahiiHk0=&h=680&w=680&sz=66&hl=en&start=41&um=1&itbs=1&tbnid=WR-vjBDbqqhN4M:&tbnh=139&tbnw=139&prev=/images%3Fq%3DIsotach%2BWind%2BMap%26start%3D36%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26ndsp%3D18%26tbs%3Disch:1)

Isobars

Isobars are a means to visualize atmospheric pressure. It is a key component in predicting weather. Note the differences in numbers between the high and low pressure fronts. The pressure gradient force is the difference in these numbers between their proximity. The greater the number, the greater the PGF.


(http://images.google.com/imgres?imgurl=http://www.solcomhouse.com/images/isobar.gif&imgrefurl=http://www.solcomhouse.com/windpower.htm&usg=__GMFCNznUDX7ICEmR-scnyUi_8ps=&h=768&w=1024&sz=228&hl=en&start=5&um=1&itbs=1&tbnid=aJWm3wdwSLmAgM:&tbnh=113&tbnw=150&prev=/images%3Fq%3Disobars%2Bnoaa%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1

LIDAR of the World Trade Center

LIDAR reading of the World Trade Center site. "The use of lasers has become commonplace, from laser printers to laser surgery. In airborne-laser-mapping lidar, lasers are taken into the sky. Instruments are mounted on a single- or twin-engine plane or a helicopter. Airborne lidar technology uses four major pieces of equipment (see figure below). These are a laser emitter-receiver scanning unit attached to the aircraft; global positioning system (GPS) units on the aircraft and on the ground; an inertial measurement unit (IMU) attached to the scanner, which measures roll, pitch, and yaw of the aircraft; and a computer to control the system and store data. Several types of airborne lidar systems have been developed; commercial systems commonly used in forestry are discrete-return, small-footprint systems. “Small footprint” means that the laser beam diameter at ground level is typically in the range of 6 inches to 3 feet. The laser scanner on the aircraft sends up to 100,000 pulses of light per second to the ground and measures how long it takes each pulse to reflect back to the unit."


(http://www.noaanews.noaa.gov/stories/s798.htm)

Doppler Radar

This Doppler radar image is hurricane Charley that hit in August of 2004.


(http://images.google.com/imgres?imgurl=http://www.deadlystorms.com/storms/2004/2004%2520charley/images/Hurricane_Charley_Loop_Full.gif&imgrefurl=http://www.deadlystorms.com/storms/2004/2004%2520charley/videos.htm&usg=__6Yu0n6q68UaVyFMPQPhpUl3UMTU=&h=500&w=468&sz=276&hl=en&start=1&um=1&itbs=1&tbnid=gsPwpmISMwUicM:&tbnh=130&tbnw=122&prev=/images%3Fq%3Ddoppler%2Bhurricane%2Bcharley%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Black and white aerial photo

This is an aerial photograph of the worlds largest wind energy center in Horse Hollow.


(http://www.virtualbirdseye.com/2008/07/01/worlds-largest-wind-farm-horse-hollow-wind-energy-center-aerial-view/)

Infrared Aerial Photo

Taken by the Kansas Geological Survey, this is an infrared aerial photograph of a forest canopy. Note how much more of the actual canopy is visible when the photograph has been infrared.This is in response of forest to climatic events and human management.

(http://images.google.com/imgres?imgurl=http://www.kgs.ku.edu/Current/2002/aber/jpegs/fig16.jpg&imgrefurl=http://www.kgs.ku.edu/Current/2002/aber/aber6.html&usg=__4u4pdaVkD0KOT6WDQIn3-Wh7Yhk=&h=392&w=600&sz=108&hl=en&start=18&um=1&itbs=1&tbnid=_1KlgZsmp2hnnM:&tbnh=88&tbnw=135&prev=/images%3Fq%3Dinfrared%2Bphoto%2Bkansas%2Bgeological%2Bsurvey%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Cartographic Animation

This is an interactive cartographic animation of mortality rates in Nebraska. Note how the colors change in accordance with the differing types of death and disease. This was made using Javascript. Pleas click on the picture to see animation.

(http://images.google.com/imgres?imgurl=http://maps.unomaha.edu/AnimArt/ActiveLegend/JavaScript/Cancer1.gif&imgrefurl=http://maps.unomaha.edu/AnimArt/ActiveLegend/Peterson.html&usg=__ovflqkuHE_19rW291SackxM2nQk=&h=401&w=640&sz=39&hl=en&start=3&um=1&tbnid=EqcIqbx9G3y8DM:&tbnh=86&tbnw=137&prev=/images%3Fq%3D%2522Cartographic%2Banimation%2522%26hl%3Den%26safe%3Doff%26client%3Dfirefox-a%26rls%3Dorg.mozilla:en-US:official%26sa%3DN%26um%3D1)

Statistical map of ethnic groups in the former Soviet Union

This is a statistical map of the Former Soviet Union. Note the variable ethnic proportions according to each region. This map was made by the CIA.


(http://www.lib.utexas.edu/maps/commonwealth.html)

Cartogram of world GDP in 2000

This type of map shows a thematic mapping variable which substitutes for land area. The space of the map is distorted in order to convey the information of this alternate variable.


(http://images.google.com/imgres?imgurl=https://qed.princeton.edu/images/6/69/World_Economy_Cartogram,_2000.jpg&imgrefurl=https://qed.princeton.edu/index.php/User:Student/World_Economy_Cartogram,_2000&usg=__TdW5y1X-QOURa3yQI45Fe6QYK58=&h=1000&w=1116&sz=152&hl=en&start=1&um=1&itbs=1&tbnid=qnRakmIJx05UoM:&tbnh=134&tbnw=150&prev=/images%3Fq%3DCartogram%2Bof%2Bworld%2BGDP%2Bin%2B2000%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Flow Map of North American Paleoindian Migration

This is a flow map of the most popular hypothesis of the Paleoindian land migration to the Americas. This flow map shows the best possible migration route. These routes directly coorelates with some of the most popular archeological findings in the Americas. This is still a contested hypothesis, as some scientists have carbon dated species in South America as old or older than the first possible migrations from Beringia.

(http://images.google.com/imgres?imgurl=https://eee.uci.edu/clients/tcthorne/map/beringia.jpg&imgrefurl=https://eee.uci.edu/clients/tcthorne/map/mapassignment2009.htm&usg=__GaBMP0lAm7Mi8QZBmcCZ6DKjjjE=&h=2316&w=1693&sz=1781&hl=en&start=1&um=1&itbs=1&tbnid=boMVpx7xHNJ4BM:&tbnh=150&tbnw=110&prev=/images%3Fq%3Dberingia%2Bmigration%2Broutes%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26hs%3D5ob%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Isoline Map of U.S

This is a historic weather map of Maryland 1873. This can also be known as an isoline map because of the continuous red lines that run across the map. This indicates the average temperature of specific areas. These maps are good for indicating averages over time as well as having many other uses.

(http://images.google.com/imgres?imgurl=http://www.davidrumsey.com/rumsey/Size4/D0112/2239002.jpg&imgrefurl=http://www.davidrumsey.com/InsightRedirector/InsightRedirector.asp%3Fcid%3DRUMSEY-8-NA%26iia%3D1%26gwia%3D0%26u%3Ddavidrumsey.com%26ig%3DDavid%2520Rumsey%2520Collection%26id%3D28719%26ir%3D1120956%26iwas%3D3&usg=__0SYdcXoFHkyaxHAEuzsSPC0uaKA=&h=973&w=1536&sz=360&hl=en&start=15&um=1&itbs=1&tbnid=TKJta-95IhLtsM:&tbnh=95&tbnw=150&prev=/images%3Fq%3Disoline%2Bmap%2B1872%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26hs%3DZbw%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1

A proportional circle map from the Lewis and Clark expedition notes

Note how the size and color of the circles corresponds with the navigability and size of each river. This is a great example of a proportional circle map made from the Lewis and Clark expedition notes

(http://images.google.com/imgres?imgurl=http://pubs.usgs.gov/fs/fs-004-03/images/fig5lg.gif&imgrefurl=http://pubs.usgs.gov/fs/fs-004-03/&usg=__t_fsEbEa3gB_iBBLc-aL-S3p44A=&h=351&w=585&sz=30&hl=en&start=18&sig2=4MsskS33C9jSHQN0XkZ7uA&um=1&tbnid=GwpjEhCZiunjaM:&tbnh=81&tbnw=135&prev=/images%3Fq%3DProportional%2Bcircle%2Bmap%26hl%3Den%26safe%3Doff%26client%3Dfirefox-a%26rls%3Dorg.mozilla:en-US:official%26sa%3DG%26um%3D1&ei=L69XS_3kBI2vtgeL7MynBA)

Choropleth map

This map shows the rates of foreclosures in the U.S. One can see how some states have vastly higher rates than others.




(http://images.google.com/imgres?imgurl=http://drillnowhere.com/wp-content/uploads/2009/03/distressed_mortgages_rise_at_end_of_4th_quarter.jpeg&imgrefurl=http://drillnowhere.com/bit-parts-for-alaska-north-dakota-and-wyoming-but-civil-war/&usg=__EQ2Mibu8CcM1rvCF5IhD-7rt_7U=&h=512&w=466&sz=55&hl=en&start=1&um=1&itbs=1&tbnid=nFHcPUz2QlxPxM:&tbnh=131&tbnw=119&prev=/images%3Fq%3D%25E2%2580%259CAfter%2Bthe%2BFinancial%2BCrisis,%2BCivil%2BWar%253F%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Dot Distribution Map

This dot distribution map show the U.S populace in the year 2000. Maps like this give a very simple visual representation of data. Notice how the clumpa of dots are positioned atop the large cities.


(http://images.google.com/imgres?imgurl=http://www.census.gov/geo/www/mapGallery/images/small2kden.jpg&imgrefurl=http://www.census.gov/geo/www/mapGallery/2kpopden.html&usg=__DQYIq6tt5cvG7k3Lb6e4sxuO1eY=&h=805&w=1043&sz=433&hl=en&start=1&sig2=J41Doa49UwCOIq-4s8wJWQ&um=1&tbnid=aZJnyA7V6TLovM:&tbnh=116&tbnw=150&prev=/images%3Fq%3DDot%2Bdistribution%2Bmaps%26hl%3Den%26client%3Dfirefox-a%26rls%3Dorg.mozilla:en-US:official%26sa%3DN%26um%3D1&ei=RVRSS4a5OIS0tgfdpdSeCg)

Propoganda Map of The Known Cannibals in The World

Propoganda maps rely on the preconceived notions of a populace paired with familiar images. This early 20th century map shows cannibalism past and present. Anthropogenie is Greek for eating humans.



(http://images.google.com/imgres?imgurl=http://www.mutantpalm.org/wp-content/uploads/2009/03/anthropophagie-1024x646.jpg&imgrefurl=http://www.mutantpalm.org/2009/03/15/china-strange-maps-cannibals-frenchmen-mu.html&usg=__x4cUBEezN5Idi_3Kf7Y_lz6FLlo=&h=646&w=1024&sz=256&hl=en&start=5&um=1&itbs=1&tbnid=nPOFY0LB3S-HfM:&tbnh=95&tbnw=150&prev=/images%3Fq%3DPropaganda%2BMap%2Bof%2BThe%2BKnown%2BCannibals%2Bin%2BThe%2BWorld%26um%3D1%26hl%3Den%26client%3Dfirefox-a%26hs%3DUQH%26sa%3DN%26rls%3Dorg.mozilla:en-US:official%26tbs%3Disch:1)

Hypsometric Map of Mars

This relief map shows the various terrain on mars. Notice how the colors correspond with the differing depths.


(http://images.google.com/imgres?imgurl=http://www.csulb.edu/depts/geography/mars/MOLAglobalTharsissmall.jpg&imgrefurl=http://www.csulb.edu/depts/geography/mars/&usg=__2KJIDeWbun3dLLt4g8g1GAgiCo4=&h=320&w=320&sz=7&hl=en&start=109&sig2=1gv39jSJaVCYhSCbfVPiMg&um=1&tbnid=TVqplEzgt-YeyM:&tbnh=118&tbnw=118&prev=/images%3Fq%3DHypsometric%26ndsp%3D18%26hl%3Den%26client%3Dfirefox-a%26rls%3Dorg.mozilla:en-US:official%26sa%3DN%26start%3D108%26um%3D1&ei=x0pSS5LSL4mWtgfOz4CaCQ)

PLSS Map of Northern and Central Florida

Composed of 6x6 mile squares, plss maps were first used to plot lands in the Western United States after the Revolutionary war. Notice how the state is composed of a series of plots.

(http://www.sjrwmd.com/gisdevelopment/docs/images/)

Cadastral Map of the city of Washington 1792

Cadastral maps are used to show divisions in boundaries. Often, disecting the boundary into specific areas.



(http://www.terrain.org/columns/23/images/)