Standardized Choropleth Map

http://www.cabledishguide.com/hd/index.php?t=Choropleth+map

This is an example of a standardized Choropleth Map. This map shows the denisty of American states. By looking at the map you can quickly tell the northeast area and very populated while the midwest is not. Standardized Choropleth maps are used to compare data.

Data Visualization

http://www.webanalyticsbook.com/data-visualization/data-visualization-approaches/

This is an example of a data visualization. Now we are starting to see more data sets enhanced or turned into a picture to show data. This method makes its easier to some people to understand data. The map above shows the density of the eastrn cities in America. By the map going up it is very easy to see which cities have the high densities.

Correlation Matrix

http://www.idrc.ca/en/ev-114381-201-1-DO_TOPIC.html

The graph above is an example of a Correlation matrix. Down the left side are a list of variable and there are also a list of variables that run along the top. The correlation between these two variables. The above variables prove to not be very correlated. The information being compared above are things about population.

Parallel Coordinate Plot

http://www.evl.uic.edu/aej/526/kyoung/Training-parallelcoordinate.html

The graph above is called a Parallel Coordinate Plot. These plots make comparing date easier. The example above is comparing different fish lengths. And by looking at the graph all the fish lengths seem to be very related.

Line graph

http://www.mathgoodies.com/lessons/graphs/line.html


Line graphs are a way of showing raw data. Line graphs can be done in many different ways. Shading can be added to help emphasise data. Trend lines can be added to help the viewer better see the movement of the line also. The above line graph is very simple line graph. It is showing the tempatures of New York City.

Pie Chart

http://www.fedstats.gov/kids/mapstats/sconcepts_pie.html

The above map is an example of a pie chart. Pie charts are used to show percetage data. You can tell how different variables relate to the whole topic. The example I found above shows pie preference. It is easy to tell that the most liked pie was Apple. The least liked pie is cocunut cream.

Isoline Map

http://indiemaps.com/blog/2008/06/isolining-package-for-actionscript-3/

An Isoline Map has continuous lines that join points of the same value. There are many different types of maps that use isolines such as isobars, isotachs, isotherms and many others. This map above of isolines was off a website that explained how one could make a map using isolines. They used made up data of tempatures for the example.

Multivariate Map

http://cramp.wcc.hawaii.edu/Rapid_Assessment_Files/RA_Results_coral.htm

This is a multivariate map about the seal coral community around the island of Hawaii. Many variables where used to come up with the graph. Multa variable maps are used to combined two or more variables.

Similarity Matrix

http://cgi.mtc.sri.com/Cluster-Lab/

A Similarity Matrix is a graph that uses two data sets. The matrix graphs two data sets and compares them to see how much they are alike. The above Similarity Matrix is graphing the similarity between an i-th synopsis and a j-th synopsis (behavorial characteristics). The red pixals show that the synopsis are very closely related and almost identical while the blue sections show that they are not very similar.

Triangular Plot

http://www.improving-visualisation.org/vis/id=241


These plots have three different variables. They show the ratio between these three variables by plotting things in the triangle. The Triangular Plot above is much like the one in our notes. It is showing the variation of the soil.

Statistical Map

http://personalpages.manchester.ac.uk/staff/m.dodge/cybergeography/atlas/census.html

The above map is a Statistical Map. Statistical maps show the variation of data in a certain area. The map above shows the growth of internet in Africa. By using this map it is easily seen that there was way more growth then there was decline or staying the same. This map was made is the 1990's.

Cadastral Map

http://alamedahistory.org/the-map/




Cadastral maps shows the boundaries of land and ownership. Land is sectioned off by ownership and this map shows these small sections. Some Cadastral maps will show things such as section numbers. The cadastral map above is of an are called Alameda which is in Northeast Portland. This map was created in 1910.

Univariate Choropleth Map

http://www.cdc.gov/pcd/issues/2007/oct/07_0091.htm

The map above is an example of an Univariate Choropleth Map. A Univariate Choropleth maps just one variable. The map above is showing the percentage of individuals who lived in poverty in the United States in the year of 2000.

Bivariate Choropleth Map

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

Bivariate Choropleth maps are maps that show two different variables within the same map. This is good when comparing two sets of data. By mapping the data out this way you can easily tell if two things are possibly related. The map above shows both the 1997 population and the median house value in Ohio.

Unclassified Choropleth Map

http://www.esds.ac.uk/international/support/user_guides/gisoverview.asp#choropleth

In unclassified Choropleth maps a color scheme is used to show the different values. This map shows the fertility levels countries in Europe. As you can tell by the map Albania has the highest fertility levels that are at 2.27 and Bulgaria has the lowest at 1.13. Since Albania is the highest the color of that country is dark and the lower the number gets correlates with lighter shades of brown.

Index Value Plot

http://waterwatch.usgs.gov/?m=real&w=plot

This is an Index Value Plot. Index Value Plots are used to show the actual data compared to what is normal. In the plot above the center line is what is considered normal streamflow and above the line is more wet, and below the line is more dry.

Lorenz Curve

http://www.unc.edu/depts/econ/byrns_web/Economicae/Figures/Lorenz.htm

This is an example of a Lorenz curve. These curves are used to show the inequailities in two variables. They are very often used to show the inequality of the income or wealth of a certain population. This curve above is just an example of these curves showing the reader how to understand these types of curves.

Bilateral Map

http://dq6bn.blogspot.com/

(This is not a classmates site, it just came off a blog site of someone not doing a map cat.)

This graph above is a Bilateral Graph. Bilateral graphs show two different types of info in the same graph. This particular map shows the US Trade Deficit and India's GDP.

Classed Choropleth map

http://my.ilstu.edu/~jrcarter/Geo204/Choro/

Classed Choropleth maps show data using different class sets. Each map has different classes most of the time around 7 or less. If the data falls into that class it is shadded that color on the map . As you can tell with the map above Florida falls into the second class with 95-98 males per 100 females. Color schemes are always used with these maps.

Nominal Area Choropleth Map

http://my.ilstu.edu/~jrcarter/Geo204/Choro/Tom/

The map above is a Choropleth Map that shows nominal data. The nominal data here is the percentage of the population that Hispanic or Latino. These type of maps show show nominal data. Nominal data is data that can be put into types of catagories that ranking does not matter.

Population Profile

http://camellia.shc.edu/literacy/tablesversion/assignments/statisticsassign.htm

This is a population profile. These are graphical images made to show populations of a certain area. This ons shows the population ranked in 4 year age groups of the county of of Mobile. By looking at this map you see the baby boom bulge. Things such as the baby boom, migration, and mortality.

Hypsometric Map

http://www.tothgraphix.com/Pages/centr-sp.html

A Hypsometric map is a map who shows elevation through contour lines and often color shading, tinting, or batching. This is a map of Central Spain.

Propaganda Map

http://bigthink.com/ideas/21087

Propaganda maps are maps made by people to change the way certain people may look at a country. It may be the way the map maker believes things are, it may influence the way some people thin about a certain country, and many of the times this is what they are made for. This is a map about the cold war when Reagan was in office. Notice California is way larger then its normal size, Reagan was from California.

PLSS

http://flathead.mt.gov/gis/plss.php

This is a PLSS, which is short for Public Land Survey System, map. This is a county (Flathead county) in Montana. These maps are used for a way or better describing the land of the United States. Land is typically divided into 6 mile square townships and can be further divided if needed.

Planimetric Map

http://www.squidoo.com/mapcompass

The map above is an example of a Planimetric map. This specific one is a map of the Portland Oregon area. Planametric maps shows everything with on a flat surface. Elevation plays no role in these maps.

Cartogram Map

http://www.ribbonfarm.com/2007/07/17/visualizing-the-2d-world-with-cartograms/

I had to use to photos again cause I thought it was really crazy to relate these two together. These are cartograms. Cartograms are maps that distort the landmass to show the information being mapped. With the above photos the first was shows the GDP (Gross Domestic Product) and the second one shows the population. I believe comparing data with these maps would be useful.

Infrared Aerial Photo

http://www.math.toronto.edu/~drorbn/Gallery/KnottedObjects/Interchange/

This is an Infrared Aerial photo. It may look familiar because it is almost like the last picture. This is a picture taken from the same roadway that is northeast of Baltimore. Although it was taken many years before in April of 1989. Infrared makes the roads, tress, grass, and sand all very distinguishable.

Black and White Aerial Photo

http://www.math.toronto.edu/~drorbn/Gallery/KnottedObjects/Interchange/

The picture above is a black and white aerial photo of roadway northeast of Baltimore. By having an aerial photo that is in black and white much detail can be taken away from just one pictures. In the above photo you can see the roadways, trees, sand, and many other things. This photo was taken in Febuary of 1998. Aerial photos are good for gathering a lot of information about an area.

LIDAR Map

http://www.loc.gov/exhibits/911/911-maps.html

For this map I chose to uplaod two after I came across these pictures. This data gathered using LIDAR. These maps are made from from three different systems which are all combined into one. These systems are lasers, GPS, and INS. These maps use light and and ranging to develope these maps. The two pictures above a LIDAR images of Ground Zero. The first one is a before and the second is the after. By having LIDAR avialable they were able to see the damage before the smoke fully cleared.

Climograph

http://www.colorado.edu/geography/extra/geogweb/bouldercreek-2/preview/page2.html

A climograph is a graph that shows both the average tempature and the average climate for a certain area in one month. The chart above is one with the data from Boulder Colorado. As you can tell by the graph the tempature in boulder did not make it to 90 degrees that year and in every month Boulder had at least .5 inches of rain.

Windrose

http://www.philip-lutzak.com/weather/Meteo%20410/PROJECT%203/PROJECT_3%20Page%202%20Tucson%20Climatology.htm

This is a Windrose chart. I windrose chart is used to chart wind. The direction and the speed is charted for a specific area over some time period. The chart above describes the wind in Tucson, Arizona. This windorse was developed my meterologist for the month of Febuary. As you can tell by the chart the wind blew most often towards the south east.

Star Plot

http://start1.jpl.nasa.gov/caseStudies/autoTool.cfm


The picture above is a star plot. Star plots are used to compared different data. Each "star" has spokes and each spokes represents and observation about the certain object. I used the above picture because it is different than most star plot comparisons. The majority of the time many star plots are made and are compared side by side. In this case they used different colors to distengiush the different observations. So instead of having to like at them side by side you compare them on the same star which I thought was actually smart. This particular picture came from a NASA website. In this picture the most disirable spot is the middle. This star plot shows changing one thing (to better it) about the approach will worsen another thing in most cases.

DEM

http://tahoe.usgs.gov/GIS.html

DEM which stands for Digital Elevation Model (also known as Digital Terrain Model or DTM) is a digital image of the terrain and different elevation levels. DEM maps are ost often prepared from remote sensing instead of land surveying. This shows the terrain for Lake Tahoe Basin.

DOQQ

http://www.whitestar.com/orthoquads.html

DOQQ stands for Digital Orthophoto Quarter Quandrangle. DOQQ maps are basically just aerial photos with map qualities. When aerial photos are taken the camera lens causes distortions because of the terrian and camera tilt. With DOQQ these distortions are removed with the digital image making the picture more of a true map. The map above is an aerial photo of Texas.

Flow Map

http://www.mundi.net/maps/maps_014/




There are many different types of flow maps. The most widely known are thinking flow maps and traffic flow maps. I chose to do a traffic flow map of telcommunications. Every flow map shows the movement of objects weather it be ideas, freight, or telecommunication traffic. The flow map above shows the flow of telecommunications in Europe. By looking at this map you see some of the lines are thicker then others. This means the the flow is in higher volumes to and from those areas. You can see that the United Kingdom has some of the largest international telcommunications calls in Europe, and those calls go to Ireland.

Histogram

http://searchsoftwarequality.techtarget.com/sDefinition/0,,sid92_gci330729,00.html

A histogram is a map used for statistical data. Histograms show the frequency of certain data with equal intervals horizontally and vertically. The histogram above is a hypothetical histogram to explain what histograms are. A hypothetical class of students took an exam and the histogram shows their hypothetical grades. The red rectangle shows that about three people mades 0 to 20, while the pink graph shows that about 8 people make from a 20 to a 40 on the exam. The following one shows how many people made a 40 to a 60 and so on.

Doppler Radar

Source:http://www.eclac.cl/celade/proyecciones/basedatos_BD.htm

This is a doppler radar map. Doppler radar maps show movement of wind and rain in our atmosphere. They do this by sending microwave beams and waiting to retrieves the beams reflection. This allows the doppler to know where things are moving and how fast they are doing so. The actual map above is a picture of a storm over Florida in 2004. This is actually Hurricane Frances.