Saturday, March 16, 2013

Final Lab - Fire Mapping

Final Lab Project - Fire Mapping






California defiantly has its far share of forest fires due to the incredibly dry climate that the state maintains. However in recent years one fire stands out specially, that is the Station Fire of 2009. CNN reported "Bone-dry conditions in an area that has not seen a major fire in more than 60 years pushed a Southern California wildfire from 45,000 acres to more than 100,000 acres in a matter of hours Monday." This unbelievable pace of spread is illustrated in first map above.The fire officially started at on August 29th, 2009 just after noon. The cause of the fire was later discovered to be arson, an investigation continued into who was actually responsible for the fire, however an official suspect list was never made public. 

The fire lasted a total of 18 days and 5 hours ending on October 16th, 2009 7pm. Even after the fire was officially deemed to be over many areas which had been hotspots for the fires, remained a threat. There were many reasons that the Station Fire was one of the most difficult fire to deal with successfully. Firstly most of the fire was on unworkable terrain such as steep hillsides sides. Secondly as this fire was a forest fire, there were huge trees falling after their extensive roots systems (which normally keep them standing) had been burned. This meant that firefighters had to avoid falling trees, while combating the fire.

The Station fire has been recorded as the largest fire in LA County history, as well as the 10th largest fire in California since 1933. It is reported that a total of 12,000 buildings were threatened during the fire, most of these being homes, as well as 160,000 acres of National Forests within the San Gabriel Mountains. In total 18 homes were destroyed and 2 people were killed, these were unfortunately firefighters. Many firefighters were admitted to hospital with injuries ranging from smoke inhalation to external injuries.

One of the most memorable features of this fire was the speed that it spread, this is illustrated in both maps above. As the colours change from dark red to yellow, this illustrates more time passing with dark red being the epicenter. The second map I have shows the location of the larger rivers within LA County. I created this thematic map to examine a correlation between the spread of fire in relation to the rivers, as I would expect that the fire would not be able to spread well in dense river areas. It can be seen that the there are multiple rivers to the south of the epicenter of fire, and the fire did not spread south at all. On the northern boundary of the largest perimeter of the fire (9/02 at 7:02), there are once again multiple rivers. This could prove the theory that the fire does not spread in areas were rivers are prevalent  However the fact in the middle of the largest perimeter of the fire there are multiple rivers may disprove this theory. 


The use and importance of GIS is quite clear for a situation like this one. Detailed maps can be easily created showing different types of information, from postal zones to roads to hospitals. These maps can be extremely useful in examining relationships between different features. Taking the Station Fire, my river map is an example of a theory of fire prevention. However I could have created a map illustrating which postal areas were affected the worst. I could also have created a map showing important historical sites and which, if any, were affected by the fire. All of these maps graphically illustrated data in a way that is much easier to understand then if illustrated simply on an attribute table. 















Wednesday, March 6, 2013

Lab 7

Lab 7




This map shows the distribution of African American's living in different counties within the continental United States. The key below the map clearly shows the darker the shade of red is equivalent to more African American's in a given county. The map shows that more African Americans live in the South East of the United States of America. With the highest concentration living in states such as Alabama and Georgia. 





This map shows the distribution of Asian people living in certain counties within the continental United States. The darker the shade of green illustrates a higher proportion of Asian people living within a given county. The map shows that the highest concentration of Asians reside on the west coast, while the middle of America has a relatively low number of Asian people in each county. 

This map shows the distribution of 'some other race of people' living in certain counties within the continental United States. The darker the shade of purple is proportional to the higher proportion of 'some other race of people' living within a given county. The map shows that the highest concentration of 'some other race of people' live in the western and south western states, while the middle of the United States and the east coast have a much lower concentration. 

This consensus map series shows the distribution of different races across America. It can be seen that African American's tend to live in the south of America, Asians reside in mainly the west coast and 'some other race of people' live also on the west coast and in some south western states.  These maps are highly useful for the any number of reasons in which finding large communities of certain races is necessary. 

Overall I found GIS hard to use in the beginning. I did not know many of the controls and I was constantly having to ask for help, however after the 3rd lab using GIS I found that we were using controls which we had already learnt to use and I was no longer having to look up how to preform tasks using the software. I found this latest lab the easiest of all, because it really used a lot of information which we had already gone over. The visuals of the GIS software are also very good and make it easy to use. As most of our tutorials showed the old software and we were using the new software I can see how much more user friendly the GIS software has become. 

Wednesday, February 20, 2013

Lab 6

Lab 6
 
 



3D Image
 
 
 
The area examined in this lab, clearly is a moutainous region. We know this due to the various maps which we have drawn using the arc map software. In particular the 3D map helps us to see the extent of the mountain range. The extent information for the data is as follows: top (39.8291666661), left    (-105.788888889), right (104.969444445), bottom (39.3838888883). The source of the data from which the map is made, was the D_North_American_1983 datum, and its degree is Degree (0.0174532925199433). 


Lab 5

Lab 5
 
 
The Mercator
 Distance Kabul to Washington DC: 10,124.08913 miles
 
 
 
The Stereogrpahic
  Distance Kabul to Washington DC: 9,878.038997 miles
 
 
 
 
The Behrmann


Distance Kabul to Washington DC: 8,794.637529 miles
 
 
 
 
 The Mollweide
 
Distance Kabul to Washington DC: 7,925.557346 miles
 
 
 
 
The Azimuthal Equidistant
 
Distance Kabul to Washington DC: 8,341.411788 miles
 
 
 
 
 The Equidistant Conic
Distance Kabul to Washington DC: 6,972.480093
 
 
 
 
I chose the Mercator and the Stereographic projects as my conformal projections, the Behrmann and the Mollweide  projections as my equal area projections and the Equidistant Conic and the Azimuthal Equidistant projections as my equidistant projections. In comparing all of these maps by using a distance between two fixed cities, in this case Kabul and Washington D.C., the enormous differences in projected distance can be seen.
 
Each of these projections have thier own benefit for specific reasons. The Mercator has become the standard map for nautical purposes, due to its ability to well illustrate lines of constant course, however this map projection distorts some features in doing this. The Stereogrpahic is a projection of the globe onto a plane. It has a wide range of uses including photograhy cartogrpahy, and geology.
 
The Behrmann creates distortion the further the shape is away from the standard parrellels. The Mollweide is generally used for globe maps of the whole world. It is better for looking at the whole world rather than specific zoomed in locations. The Equidistant Conic is known because all points on the map are correctly distanced from the center point. The Azimuthal Equidistant also has the quality of the Equidistant Conic in that all points on the map are proportionally distanced from the center of the map. This map is useful as a polar projection showing all of the lines of latitude and longditude correctly distanced from the poles. However the distoration does increase the further the shape is away from the center.
 
As we can see each map projection has its purpose and each map has its pitfalls. The problem with all of these projections is that it is hard to find the actual disantce or see the actual areas of the world. For example the Mercator projection shows Greenland to be the same size as Africa when in reality Africa is 16 times larger than Greenland. The imporant thing to remember when using map projections is to use each projection for thier speicific purpose. The good thing is that there are many projections avaible so for all of the possible uses, there will be a projection to cover your specific use. Projections are key to many tasks such as naviagation on a boat or flight paths for planes. However you could not use the same projection for both of those tasks.  
 
 
 
 



Wednesday, February 13, 2013

Lab 4
 


My experiences with arcmap have been mixed thus far. It took my a while to complete this lab, as it was the first time that I have used arcmap. I thought that on the whole the software was realtivly easy to use and comprehend after working with it for about an hour.

I had a big problem with joining the two data sets together and that took me about an hour to fix after consulting help with my TA. I am still not exaclty sure why my two tables did not join properly when I preformed the join. I would say that arcmap did not have a very helpful 'help' page as it was unable to answer many issues that I had when constucting this map.

On the other hand I thought that the visuals where excellent and it was realtively easy to understand the different layers and therefore add and remove them according. Having seen the old arcmap, as the tutorial was in the old arcmap I can see that the improvments are signifacnt and the new arcmap appears to be considerably more user friendly.

Overall I would say that it took my much longer than I thought to get used to arcmap, however I would not blame arcmap for that and therefore would not consider it a pitfall, as the software has to be realtively complicated as it creates complicated maps. I would also say that it is easy to understand once you get the hang of it, and therefore I think that the next assigment will take me considerably less time. The visuals and location of the tool bars etc I find very useful and rarely found it difficult to find a tool.


Wednesday, January 23, 2013

Best Surfing Beaches for UCLA Students



This map shows the best surf locations within driving distance of the UCLA campus. The different sports are illustrated with place marks on the map, each different color place-mark representing the different quality of the waves. The light blue color represents quite poor conditions on average, the green represents average conditions and the dark blue represents very good condition. The lines show the distances from the UCLA campus and each trip line has a link to the traffic center  to get a more accurate picture of travel time. The nearest beach parking lots for all of the beaches are represented by the red blocks on the map, and the UCLA campus is illustrated by a blue block. 

One of the main issues with Neogeography is that is relies on the work of others in inception. For example I used google maps for this parituclar map, which I created, this seems fine, however it gives Google a lot of control as they are partically controlling how my map will look. Other maps sites apart from Google Maps has been key in the rise of neogeography and these maps include Google Earth, Bing Maps and MapQuest; and all of these sites hold that same power.

Another main issue with Neogeopgrahy is that unlike old style map making which occured in the near past, the maps are much more informal and collequial. When maps used to be made they would be sanctioned by governments or large companies and therefore accuracy was key, however with neogeographical maps, the accuracy is no longer the most important factor, but more the content on top of the map itself. For example my map above illustrates the different surf locations near to UCLA, however the actually accuracy of the map is not important to the user, but more so the links, pictures and videos that I have included. In fact the map only really needed to be vaguely accurate to give an approximate distance in the viewers mind. This informality of maps that neogeography is starting could lead to less acuracy in the future for maps, and that is something that should be watched carefully.

Wednesday, January 16, 2013

Lab 2

1. Beverley Hills Quadrangle

2. Canoga Park, Van Nuys, Burbank, Topanga, Hollywood, Venice and Inglewood

3. 1995

4. North American Datum of 1927 (NAD 27) and North American Datum of 1983 (NAD 83)

5. Scale 1:24 000

6. a - 1200 meters
    b - 1.89393939 miles
    c - 2.64 inches
    d - 12.5 centimeters

7. 20 feet

8. a - Public Affairs: 34 04' 00",118 26' 15"  
         Decimal Degrees: 34.066667, 118.4375
    b - Tip Santa Monica Pier: 34 00' 40", 118 30' 2"
         Decimal Degrees:  34.011111, 118.500556
    c - Upper Franklin Canyon Reservoir: 34 07' 15", 118 24' 15"
         Decimal Degrees:  34.120833, 118.404167

9. a - 560 feet
    b - 140 feet
    c - 700 feet

10. 11S

11. 11S 0362000
             3763000

12. 1,000,000

13.

.

14. 12° 29' EAST

15.  South

16.