December 2, 2009

Lab 8 was very simple and fast.

Map Critique 5

November 30, 2009

Map Critique 5

            The map I chose to critique is called, “Atlas of Faiths”. It shows the different religions and what part of the world each religion is in. The religions are represented by a different shade of color. There are 16 different categories that are shown. Fifteen of the categories are religions and the 16th category is unpopulated. Some of the religions that are shown are Roman Catholic, Protestant, Mormons, Muslims, and Jews. Also, shown on the map is a pie chart showing the percentage of believers. In the pie chart there are different categories. The largest religion in the world according to this chart is Muslim. Another chart is shown in the map which shows the believers by religion. It forecasts which religions will rise and decrease by 2050.  This is shown in the millions. The chart shows that Christians will have the largest population by 2050.

            I think this map is very interesting. I did not realize that the Muslim religion was so large. The audience for this map could be anyone. This map would be used for scientific use. The map I think shows a pretty good depiction of the world religions. They received their data from Encyclopedia Britannica. The map has most of the good principles of cartography. It has a title, a legend, and a neatline. It does not have a north arrow. Other elements is does have is the source the data came from and the dates of the map. I liked that the map does not just show the map, but it also puts charts on the map to help you understand the map more. The message that the map communicates to me is that religion has a lot to do with what goes on in different regions.


Atlas of Faiths. 2003. 30 Nov. 2009 wp-content/uploads/map_world_religions.gif.


November 20, 2009

Map Critique 4

November 15, 2009

Map Critique 4

The map I chose to critique is called “Generic Names for Soft Drinks by County”. The map shows the generic names for soft drinks in the United States. The map is divided up into each county within each state. There are four different categories in the legend. Different shades of blue stands for people that say “pop”, different shade of red stand for people that say “coke”, different shade of yellow stand for people that say “soda”, different shade of green stand for people that say “other”, and purple stands for no data. It is a very colorful map and really stands out to me. The color that pops out to the most is the color blue, which means most of the United States says, “pop” for a generic name for a soft drink. After “pop” it is “coke”, “soda”, and “other names”. The map shows that the northwest and the mid-west say “pop”. The South says, “coke” and the Southwest, Hawaii and New England say, “soda”.

Overall I like the map. I first saw the map at work this summer and thought it was really funny. I think the map audience is for anyone to look at. I do not think this map can really be used for anything else other than for entertainment. I think it is a scientific map because it has data that has been compiled to create it. The map has most of the good principles of cartography. It has a title telling an audience what the map is showing. It has a legend which tells an audience what each color means in the map. The map has the source, neatline, and the date. The only principles the map does not have is the scale of the map and the north arrow/orientation.  I think the map communicates to the audience very well, it tells the audience exactly what it is all about, by the title.



Generic Names for Soft Drinks by County. 1 Mar. 2003. 14 Nov. 2009 <;.


Lab 5

October 28, 2009

I decided to use 5 classes on my map because I have 67 counties for Florida. I felt to see more of a variation I would need to have more classes. The classification I chose was quartiles and then changed the first break value to 0.  I like how it divided up the numbers. The equal interval, natural break, and defined interval you did not see much of a change in each of the breaks. There was two much of one color. I chose a color scale that only had similar color so you can see the change.


            For the second map I first made a new field in the attributes table. In this field I calculated 2000 population – 2008 population to get the difference between the two years. I then went to create the map. I chose to classify the numbers the same way I classified the other map using quartiles. I changed the first break value to 0. I chose to have 5 different classes. The symbol size ranged from 4 to 12.  I like how it divided up each of the classes. The other classifications did not show a very big difference between the populations. The color I chose for the state was a light pink. The color I chose for the symbols is a dark green. I felt these two colors together made the map pop out at you.


Map Critique 3

October 21, 2009

Map Critique 3
The map I chose to critique is called “Total Population”. The map shows the total population of the world in 2002. Each country is not its normal size. The size of the country is based on their population. The map also shows in a table the some of the most and some of the fewest people. China has the largest population so it is the largest country on the map. The country with the lowest population is Holy See with a population of 1,000. Also, a diagram of the world population by region and an excerpt explaining what is going on in the map. The countries are all in very bright colors. China stands out the most because it is the largest and is in a bright green color.
I like the map; it is a different way to look at the world population on a map. The audience of this map is anyone. Most maps just have the population color coded and are kind of boring to look at. Even though those maps are boring to look at they give you actual numbers/data; this map does not. When a person looks at this map they can only tell by the size of the country and compare it to other countries that it has a larger or smaller population. This would not be a very good map to use for exact calculations of population. The flaw of the map is it does not show a very accurate account of every country’s population. This map would be good to show people how much of impact some of the countries have on the Earth. The map does not follow good principles of cartography. It does not have orientation, legend, or a scale. Good principles of cartography that the map does have are: the source of information, the date the map was created, a title, and a neatline. I think the map communicated what it is about pretty well because it tells the audience what the map is about in the title.
Total Population. Map. 2006. Oct. 2009 <;.


Lab4 Blog

October 20, 2009

For this part of the lab I chose to use this projection.


Projection: Albers

False_Easting: 400000.000000

False_Northing: 0.000000

Central_Meridian: -84.000000

Standard_Parallel_1: 24.000000

Standard_Parallel_2: 31.500000

Latitude_Of_Origin: 24.000000

Linear Unit: Meter


Datum: D_North_American_1983.

The Florida central meridian is -81

This projection is good because it is especially for Florida.

This lab was somewhat difficult for me. I had a hard time inputting the data into ArcMap. My files had spaces in them. I had to go back and change all of my file names so they would not have any spaces in them. Other than that I had no other problems with this lab.

ArcGIS terms:

  • DBF/Dbase files
    • A database program whose file format has been adopted for the shapefile data model and tables in ArcGIS
  • Select by Attributes
    • To choose a subset of features or table objects based on the values in one or more attribute fields
  • Query
    • An operation to extract records from a database according to a specified set of criteria
  • Fields (in a table)
    • A single column of information in a data table
  • Records (in a table)
    • A row in a table containing one object
  • Attributes
    • Information about map features stored in columns of a table
  • Relational Database
    • A database that stores information in tables and constructs temporary relationships between them
  • Join function
    • The temporary combination of data from two tables based on a common attribute field or location
  • Monitor Fire
    • I am not sure about the answer. It is when the computer monitor catches on fire.
  • Calculate/Field Calculator
    • This helps you do calculation using different fields. We used this in the lab to figure out percent change between different years.

I found most of my answers out of my GIS book. “Mastering ArcGIS” by: Maribeth Price

Map Critique 2

October 2, 2009

Map Critique 2

The map I chose is called “The World: As America Sees It”. It is a rather funny map. The map divides the world into different regions based on what Americans think of these countries/continents. For instance South America is called cocaine and coffee; Russia is called Russian Mob. Each continent/country is also a different color. The United States is the American flag while Japan is colored yellow and is called “Radioactive Area”. The first thing I see when I look at this map is Africa. Africa is right in the middle of the map; it is very large and has big white and black vertical strips on it. They called Africa “Empty Area”.

I think this map is an interesting way to look at the world. I do not know if it is completely true, but it is very funny to think about the world that way. The audiences for this map are Americans; other countries might take offense to this map. I do not think this would be a real map to use on a daily basis; it is just something fun to look at. It would be more of a piece of art than used for science. This map does not show true political boundaries of the world. It does not follow good principle of cartography. This is map only has a title; it does not show who created the map, the date the map was created,  the legend, the north arrow, and the scale. I think this map communicates the American view of how to look at the world and not any other countries in the world.


The World: As America Sees It. Map. 30 Sept. 2009 <>.

Lab 3 Notes

September 30, 2009

This lab was very frustrating. The state I chose was Florida, it has to many counties. I should have chosen a state with less counties. The data from the internet is so messed up, I did not like converting all of these. My data for 1900 to 1990 was some what ok, it was already a text file so I did not really have to change much. It was already in text width and I just had to move the different columns. 

The data for 2000 and 2008 was very frustrating a messed up. For the 2000 data I had to type in the rest of the population numbers because all of them got cut off. The 2008 data was the same way except the population was on another line so I had to move all those up to line next to the counties. I’m just glad I did not have to do this for the entire United States.

I could not image having to do that to every state in the United States. It would take me a very long time to do. It would probably give me a big headache.

Hello world!

September 28, 2009

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