Thursday, May 26, 2011

Lab #7 Census 2000/2010




















The map above shows the distribution of the Black population as a percent, within each county, throughout the United States.  This map is representative of the 2000 census data reports.  The first step in reading this map is to get familiar with the legend that shows what each color represents quantitatively. The dark blue hue illustrates the areas where the percent of the Black population is below 3%.  As you move down the into the light beige you'll see 25% to 35% of the population is Black.  Red of course represents a high percentage (59% and topping out at 86%).  Now looking at the map itself,  It is a raster image produced by joining a map of all U.S. counties, with the 2000 census data, which is what the percent values are based on.  Once you understand what the colors and areas represent, it is easy to notice patterns on various scales.  On the large scale, a generalization can be made that regionally; the South has the highest percentage of Blacks, followed by the Southern East Coast up to New York, and then Northern Midwest, around the Great Lakes.  The West and Northern regions have low percentages of Blacks, with only Counties in major cities showing out of this generalization.  Interpreting this map can be done on a smaller scale as well.  Take California; The Counties with highest percentage Blacks are Los Angeles County, San Bernardino County, and the Counties around  San Francisco.  Generally speaking, the Counties existing on the coast have low percentages, and the metropolitan areas along with the growing urban areas inland have greater percentage.























This map is the same U.S. Counties map, but instead of overlaying the Counties with the 2000 census data for percent of population being Black, it was overlayed with percent of population being Asian. Again, distribution patterns can be seen on a large scale.  The west coast region and the northern east coast show the greatest percentage of Asians.  The interior of the continental U.S. shows little to no distribution pattern with scattered patches of relatively higher percentages of Asians.  Analysing the counties in Washington State, one should notice the high percent values attributed to the counties southeast of Puget Sound.





This last map shows the percent of races that are not categorized as White, Black, American Indian, Asian, and Pacific Islander.  The data used to produce this map therefore mainly represents the Hispanic population, however it does include miscellaneous races as well, but these are relatively negligible.  The most notable pattern illustrated by the map is the high percent values assigned to counties within the border states of California, Arizona, New Mexico, and Texas.  This is related to high number of Mexican immigrants that have settled in the U.S. over time.  There is also some somewhat high percentages assigned to counties along the east coast down to Florida.  This pattern can be attributed to the immigration of Hispanics from the Caribbean to the eastern U.S.


In doing this Lab, I was able to learn some of the methods used in GIS to create some thematic maps representing the counties of the continental U.S., with regards to the percent of the population according to race.  This was achieved by combining spatial data (counties shape file) with attribute data (census statistics) within ArcGIS.  This is an important skill for anyone considering a future in GIS study.

Thursday, May 19, 2011

Lab #6








Geographical Coordinate System: GCS_North_American_1983


Extent (in degrees)

Top: 34.339
Left:-119.233
Right:-119.171
Bottom: 34.27

Monday, May 16, 2011

Lab #5 Projections

Map projections represent the physical world as a two dimensional image.  Projection always creates some level of distortion.  There are three main types of projections, 1.)Equal Area  2.)Equidistant 3.)Conformal.  Equal Area projection as the name implies preserves area.  Equidistant projection preserves distance, and Conformal projection preserves angles.

Equal Area projections, are noted as preserving area accurately, however measurements of distance are unreliable.  An example would be the Cylindrical Equal Area projection, which represents the areas of continents closely to reality. A fallout of Equal Area projections is that latitudinal distances are greatly distorted, especially towards the poles.  These distortions can also be seen in the Hammer-Aitoff Equal Area projection, which represents area of continents accurately but distorts length and angles of the continents.  This is why the distance between Washington, D.C. and Kabul is misrepresented in Equal Area projections.



Cylindrical Equal Area
Distance from Washington D.C. to Kabul, Afghanistan = 10,100 miles












Hammer-Aitoff Equal Area
Distance from Washington D.C. to Kabul, Afghanistan = 8,400 miles
Equidistant projections are useful in measuring distance accurately, but have other shortcomings.  The Cylindrical Equidistant projection produces continent shapes that are distorted longitudinally.  Additionally, the size of Antarctica has been greatly increased in this projection.  In the Sinusoidal Equidistant projection, continent shapes are greatly distorted.  This type of projection is the best choice when measuring long distance on a global scale.


Cylindrical Equidistant
Distance from Washington D.C. to Kabul, Afghanistan = 5,070 miles


Sinusoidal Equidistant
Distance from Washington D.C. to Kabul, Afghanistan = 8,104 miles 

Conformal projections represent the angles and outline of continents well but lack distance and area accuracy. The Gall Stereographic projections is a type of conformal projection which carries these features.  In this projection areas are greatly distorted, especially toward the poles.  The distance between Washington, D.C. and Kabul is also misrepresented in this type, therefore it is a poor choice for distance data.  It is more useful as a directional navigation reference.  A modified mercator projection, called a Miller Cylindrical, is another type of Conformal projection which is used for maritime navigation purposes.

Gall Stereographic
Distance from Washington D.C. to Kabul, Afghanistan = 7,182 miles


 Miller Cylindrical
Distance from Washington D.C. to Kabul, Afghanistan = 10,076 miles







The thing to learn from this lab exercise is when using GIS, it is important to consider projection differences and to note these differences to choose an appropriate map projection.