Assignment 8

The Los Angeles station fire lasted from August 29, 2009 to September 2, 2009. The fire spread from the edge of metropolitan LA towards the Mojave desert. The reference map that I have included shows the spread of the station fire's perimeter over the five days that the fire was actively expanding. Although most of the fire took place in a relatively rural area an article in the Los Angeles Times says, "more than 12,500 homes were threatened and 6,600 were under mandatory evacuation." The aspects of the fire that I have focused on are the surface fuels within the perimeter of the station fire, and how these fuels combined with the slope of the area aided in the spread of the fire. 

The fuel model map within the fire perimeter shows clearly that most of the land is covered with tall chaparral, which is a common plant variety in the shrublands of the state. California's mediterranean climate has wet winters and dry summers, during which plants and soil dry out and can add to a fire's severity. Most fires we see in California occur in the late summer or early fall because this is when the terrain is driest and most susceptible to wildfires. Other fuel sources we can see within the fire perimeter are light brush, hardwood/light conifer, and medium conifer. 

The next map shows the rank of the fuel sources within the fire's perimeter. Fuel ranks are used to proactively take on pre-fire projects that may reduce the severity of wildfires. The California Fire and Resource Assessment Program (FRAP) describes fuel rank as a combination of the fuel model and the slope of the area. We can see that the area covered with tall chaparral in the fuel model map corresponds with the very high hazard level on the fuel rank map. Also the land covered with light and medium conifer is ranked as a moderate hazard. 

The last map that I have included shows the slope of the terrain within the fire perimeter. According to an article published by the Wildfire Management Branch of British Columbia, "the steepness of the land has the greatest influence on fire behavior." Slope affects the speed and direction of the fire spread, and the steeper the slope is, the faster the fire will spread. The article sights these five reasons for this phenomenon: 

• on the uphill side, the flames are closer to the fuel;
• the fuels become drier and ignite more quickly than if on the level ground;
• wind currents are normally uphill and this tends to push heat flames into new fuels;
• convected heat rises along the slope causes a draft which further increases the rate of spread; and
• burning embers and chunks of fuel may roll downhill into unburned fuels, increasing spread and starting new fires.

While looking at all three maps it is clear that the slope and the fuel type of the surface area had a huge affect on the 2009 station fire. The areas with the steepest slope, also happen to be covered with shrubbery and brush which burn quickly and act as kindling to fires. These two things combine to create a highly hazardous fuel rank which covers the majority of the fire's area. InciWeb: Incident Information System says that this was "the largest fire in the recorded history of Los Angeles National Forest (est. 1892) and the 10th largest fire in California since 1933." Hopefully we can use maps like these to prevent future fires in the area of Los Angeles and abroad. 

Works Cited

"Fuel Ranking Maps and Data." California Fire and Resource Assessment Program, n.d. Web. 10 Dec. 

2012 <http://frap.cdf.ca.gov/data/fire_data/fuel_rank/index.html>.

Garrison, Jessica, Alexandra Zavis, and Joe Mozingo. "Station Fire Claims 18 Homes and Two Firefighters." Los Angeles Times, 31 Aug. 2009. Web. 10 Dec. 2012 <http://articles.latimes.com/2009/aug/31/local/me-fire31>.

Greninger, Mark. "Los Angeles County Enterprise GIS." Los Angeles County Enterprise GIS. N.p., 2 Sept. 2009. Web. 10 Dec. 2012. 

<http://egis3.lacounty.gov/eGIS/category/gis-data/fire/>.

"HOTSPOT: California On The Edge." HOTSPOT: California On The Edge. California Academy of Sciences, n.d. Web. 10 Dec. 2012. <http://www.calacademy.org/exhibits/california_hotspot/habitat_mediterranean_shrublands.htm#fire>

"Los Angeles County DEM." Week 9: GIS Application. Geography 7: Intro to GIS, n.d. 10 Dec. 2012. <https://classes.sscnet.ucla.edu/course/view/12F-GEOG7-1?topic=9>

"Ministry of Forests and Range, Wildfire Management Branch." Fire Behaviour. British Columbia, Wildfire Management Branch, n.d. Web. 10 Dec. 2012 <http://bcwildfire.ca/FightingWildfire/behaviour.htm>.

"Station Fire." InciWeb: Incident Information System. N.p., 10 Nov. 2009. Web. 10 Dec. 2012. <http://www.inciweb.org/incident/1856/>

"Surface Fuels Maps and Data." California Fire and Resource Assessment Program, n.d. Web. 10 Dec. 2012. <http://frap.cdf.ca.gov/data/fire_data/fuels/fuelsfr.html>

Assignment 7

This map shows the percentage of the Black population by counties in America. We can see that the swath of the South Eastern states have a high population of black people, which includes Louisiana, Mississippi, Alabama, Georgia, Florida, the Carolinas, Virginia, etc. This region of the United States has historically been populated with a higher concentration of African Americans and we can see that this trend is continuing. There are also a couple scattered areas that have a high percentage of African American population in California, and parts of the North East.  

This map shows the percentage of Asian population by counties in the United States. The most highly concentrated areas of Asian population California, with some areas in northern and southern California where the percentage of Asian population ranges between 21 - 46.9%. There are also a few areas of highly concentrated Asian populations in Washington state and the North East, but the biggest Asian population is clearly in California. 

This map shows the percentage of population that affiliate with "other race" on the census. These groups are largely concentrated in the South Western swath of states and decrease as you move East across the country. On the East side of the United States we can see a concentration of those who associated with "other race" in Florida and along the East Coast. This may indicate the large amount of Mexican immigrants in the South East and the large amount of Puerto Ricans in Florida. All of these maps show that there are clearly defined clusters of different races throughout the United States.

I enjoyed working on this lab because it's interesting to observe the patterns of different races in the country. Looking back on these maps, I feel like it would have been more effective if I had used shades of the same color to display the distribution and concentrations of races. I think it would make the patterns easier to see as well as easier to compare the three maps. GIS gives so many options for the visual display of data, and this is just one example of how we can highlight social patterns within the country.

Assignment 6

3D Model

The area that I have selected includes part of the 405 freeway running from North to South in the center of the chosen area. Stone Canyon is located on the right hand side at the top of the area with Beverly Hills to the southwest, and Bel Air directly south of Stone Canyon. Topanga Canyon is on the left side of the 405 in this selected area. The geographic coordinate system used is North American 1983 which uses a latitudinal and longitudinal coordinate system. The extent information in decimal degrees is:

     Top: 39.829167
     Left: -105.788889
     Right: -104. 969445
     Bottom: 39.383889

Assignment 5

Mollwiede Projection (equal area)
Distance from DC to Kabul in miles:
Planar: 7,925
Geodesic: 6,934
Loxodrome: 7,925

Cylindrical Equal Area Projection
Distance from DC to Kabul in miles
Planar: 10,108
Geodesic: 6, 934
Loxodrome: 8,112

Azimuthal Equidistant Projection
Distance from DC to Kabul in miles:
Planar: 8,341 miles
Geodesic: 6,934
Loxodrome: 8,112

Sinusoidal Projection (equidistant)
Distance from DC to Kabul in miles:
Planar: 8,098
Geodesic: 6,934
Loxodrome: 8,098

Stereographic Projection (conformal)
Distance from DC to Kabul in miles:
Planar: 9,878
Geodesic: 6,934
Loxodrome: 8,112

Mercator Projection (conformal)
Distance from DC to Kabul in miles:
Planar: 10,112
Geodesic: 6,934
Loxodrome: 8,112

Map projections are a way to enable the reshaping of Earth by converting spherical coordinates (x, y, and z coordinates) to two dimensional coordinates (x, y coordinates). This process distorts either the shape, area, distance, or angle, and often some of these at once. Each projection causes different distortions of the earth, which you can see in the six projections that I have chosen. Picking the proper projection mostly has to do with the purpose of the map and the qualities that are most important to you. The three main types of maps are conformal which preserves angles, equidistant which preserves distance, and equal area which preserves the proper area. Even though there is some consistency within each general type of projection, you can see that there is still some variation in the distance between DC and Kabul on all of the maps. 

The first two projections are equal area projections. The cylindrical equal area projection preserves the area of the earth's features. A cylindrical projection refers to the way the map was created - by essentially wrapping a piece of paper around the globe. There is the least amount of distortion at the equator with growing distortion at the poles. The Mollwiede is an equal area pseudocylindrical projection which shows the equator as a horizontal line and meridians that compress near the poles. The next two maps are both equidistant projections. The Sinusoidal projection conserves the distances along the meridians and the Azimuthal equidistant conserves distances along great circles (a great circle is a full meridian circle). The last two projections are conformal projections. The Mercator projection is an old and well known conformal projection and is easy to spot because the lines of latitude and longitude intersect at 90 degree angles. Lastly, the Stereographic projection projects the shape of the earth's spree as a plane. All of these projections have pros and cons depending on the purpose of the map. 

A huge drawback to map projections is that there is a lot of distortion. As you can see the distance between Washington DC and Kabul varies greatly depending on which map you are looking at. The equidistant map projections (the Sinusoidal and the Azimuthal equidistant projections) both show that the distance is about 8,000 miles. But even between the two there is discrepancy. Other maps distort area and makes certain countries look bigger or smaller than they should. 

Although globes are the most accurate way to display the world with little error, globes are not the most practical tools for most mapping applications. Map projections have great potential depending on the purpose of your map. Map projections allow us to analyze aspects of the earth on many scales and in many different ways. The computer's ability to create thousands of projections increases the ways we can look at the world as opposed to the traditional planar, conic, and cylindrical projections that we have achieved from theoretically wrapping a piece of paper around a globe. Although we need to be careful and aware of any errors a map projection may create, map projections have a lot of potential and are an extremely important part of GIS and geography. 

Assignment 4

This map can be used to look at land use, schools, and population density within the specific proposed area of airport expansion. These maps give access to further analysis of how the airport expansion will effect the area and it's residents. 

My overall experience with ArchMap was slow and at times tedious. The step-by-step tutorial was a helpful guide to this exercise although some of the steps and pictures were outdated which led to some technical glitches and bouts of frustration. I felt like this exercise was pretty complex for our first contact with the GIS software and think that a better conceptual understanding of what we were doing and why would have been extremely helpful. 

Although this was my first experience with the software it is clear that GIS has the potential for extremely detailed analysis of specific geographic locations. In the case of this exercise for example, we can see how various factors will be influenced by the expansion of the airport. GIS is a tool for using past and current data to examine the effects of potential future changes or developments. This decision enabling ability is a huge potential of GIS. 

A possible pitfall of GIS is the fact that if depends largely on the data that you are using. If your data is accurate and reliable then you will have no problem, but if the data you are using is inaccurate then GIS will give you inaccurate results. With the rise of web 2.0 and neogeography, there has also been a rise in user generated content which isn't always the most reliable. Overall, I think the potentials of GIS far outweigh the pitfalls because it allows detailed analysis specific geographic locations. 

Assignment 3

Neogeography, or "new" geography has expanded the way maps are made and used on the web. Neogeography allows anyone to create a map of anything they choose and share it with a network of friends. It has also allowed for many "mashup" websites to become extremely useful. Mashup websites are those that combine data from two or more different sources - like a store's website that also includes a map of their various locations, or a website like Yelp.com that provides restaurant reviews but also a map of where those restaurants are. Neogeography has shifted the dialogue of map making from something that was prescribed often very costly, to something that has unlimited opportunity, free, and user-friendly . 

Because neogeography gives almost everyone the ability to publish a map there can be a great deal of inaccuracy and misrepresentation. Like other sources of user generated content on the internet, there is no regulation and so amateur map makers can publish maps that are poorly constructed, hard to read, or misleading. Viewers need to be wary of the reliability and accuracy of the content provided on a user generated map. Although this can be an issue with many things found online, this side of neogeography has the potential to sour a user's map reading experience. The more inaccurate maps there are, the more carefully someone has to search for a map they can trust and use. 

Aside from this pitfall, neogeography has the potential to greatly change the way we interact with the geographic spaces around us. The ability to create your own map that focuses on anything you like allows for creative and personalized attention to be paid to geographic location. Due to the popularity of "checking-in" to a location on Facebook, we can see that people love to share their physical location with friends. Neogeography adds this aspect of social interaction to mapping as well. Now people can create maps of their favorite coffee shops or a map of their last vacation (or in my case a map of a vacation I will be taking in December) and add links, photos, and videos to enrich the viewing experience. 

View Adventures in Southeast Asia in a larger map

Assignment 2

1. The name of this quadrangle is the Beverly Hills Quadrangle
2.  The names of the adjacent quadrangles are: Canoga Park, Van Nuys, Burbank, Topanga, Hollywood, Venice, and Inglewood

3. The quadrangle was first created in 1995
4. The datum used to compile this map was the North American Datum of 1927 (NAD 27) and National Geodetic Vertical Datum of 1929
5. The scale of the map is 1:24,000

6. At the above scale: 
     a) 5 centimeters on the map is equivalent to 1,200 meters on the ground
     b) 5 inches on the map is equivalent to 1.89 miles on the ground
     c) one mile on the ground is equivalent to 2.64 inches on the map
     d) three kilometers on the ground is equivalent to 12.5 centimeters on the map
7. The contour interval of the map is 20 feet
8. The approximate geographic coordinates in both degrees/minutes/seconds and decimal degrees of:
     a) the Public Affairs Building: W118°26'20'' (-118.4389), N34°4'20'' (34.0722)
     b) the tip of Santa Monica pier: W118°30'00'' (-118.5), N34°0'25' (34.00694)
     c) the upper Franklin Canyon Reservoir: W118°24'30'' (-118.4083), N34°7'15'' (34.12083)
9. The approximate elevation in both feet and meters of:
     a) Greystone Mansion: 560 feet/170.7 meters
     b) Woodlawn Cemetery: 140 feet/42.7 meters
     c) Crestwood Hills Park: 680 feet/207.3 meters
10. The UTM zone of the map is zone 11
11. UTM zone coordinates for the lower left corner of the map are 3763000 N and 361000 E
12. There are 1,000,000 square meters contained within each UTM
13. Elevation profile of the UTM grid intersections along the UTM northing 3771000: 

14. The magnetic declination of the map is 14 degrees
15. The intermittent stream runs from North to South
16. And here is UCLA, cropped from the map:

Assignment 1

This map shows how many major cities can fit inside the Los Angeles city limits. It is from an article posted on LAist, a blog that covers news, culture, and events in Los Angeles and can be viewed here: http://laist.com/2012/06/30/map_how_many_major_us_cities_can_fi.php. The article does state that the original source for this map is unknown. The map shows that St. Louis, Milwaukee, Cleveland, Minneapolis, Boston, San Francisco, Pittsburgh, and Manhattan can all fit neatly within the city limits of Los Angeles, with some room to spare. The white space within the city limits make me wonder if there are perhaps other major cities that could fit snugly within this puzzle. After moving to Los Angeles from San Francisco just a couple of weeks ago, I am still struck by the immense size difference between the two cities. This map is an effective display of just how big the city of Los Angeles really is. It also acts as an interesting way to put the relative sizes of these major cities into perspective.

This map from the New York Times website shows the number of times sweet potato casserole recipes were searched for on the night before Thanksgiving of 2009. Above is a screenshot, but the map found here is interactive: http://www.nytimes.com/interactive/2009/11/26/us/20091126-search-graphic.html. As you scroll over each state you can see the number of searches for sweet potato casserole and how that compares to the national average. I chose to show this particular map because this was the most common recipe that was searched for on that day, but the website does provide the distribution of the top 50 searched recipes - pumpkin pie, green bean casserole, and pecan pie were the next most popular searches on the list. These maps show that although Thanksgiving is a national holiday, we do see differences in the cooking trends and traditions within the country. It is interesting to see the clustering of above average searches in the southern states. It is tempting to conclude that sweet potato casserole is just a southern tradition, however the map simply shows who searched for the recipe and not necessarily who actually consumed this casserole in question.

This next map, also from the New York Times website, is a display of how states may vote in the presidential election this November. These results are based on polling, previous electoral results, and the political geography of each state. This is the link to the interactive version on the New York Times website: http://elections.nytimes.com/2012/electoral-map. The size of each state indicates the number of electoral votes that state has and the color indicates if that state is a strong Democratic state, a strong Republican state, a state that is leaning in either direction, or a tossup state. I think that displaying the size of a state based on the number of electoral votes it holds is a clear and simple way to portray the power and influence they may have over the upcoming election. While the map does clearly show clustering of political views throughout the country, it does not show variation of views within each state. It is interesting that many of the yellow tossup states are sandwiched between strong Democratic states and strong Republican states. The tossup state of Nevada, for example, is situated between the strong Democratic state of Oregon and the strong Republican state of Utah. I think this map is an effective visualization of the political views across the country and how those views may influence the results of this election.