Tuesday, August 30, 2011

Lab 4, Station Fire Hazard- Spatial Analysis

               Using GIS can be very helpful for mapping out fire hazards. You can easily analyze where a fire is most likely to occur by creating a hazard map with certain characteristics, elevation/slope and land cover/vegetation. Using GIS can also be a less dangerous way to research the flammability of certain vegetation in a given area. By analyzing the maps, you can see that the Station Fire in 2009 in Los Angeles burned where the vegetation had moderate chances of catching fire rather than higher risk areas. To make the maps, I first gathered all the needed data, such as the perimeter of the Station Fire, the DEM, and land cover, and loaded it to ArcMap. I then created a hillshade for the Los Angeles County and added the slope characteristic to show elevation and reclassified the land cover to show where the fire had burned within the perimeter.
              For this lab, I rather enjoyed making the maps because I worked with my classmates and we helped each other out throughout the whole process. By working together, it made the lab more fun to do. We all had struggles and definitely needed each other’s help and of course, Jida’s guidance to get us through ArcGIS. First, gathering all the data was challenging because we weren’t sure which GIS data we should use from the FRAP database. We downloaded many different files for LA County including Surface Fuels and Fuel Rank, when finally, we concluded that the Multi-source land cover data would be the best to use for our land cover map. Another challenge we faced was reclassifying the land cover. It took a while to figure out how we would rank each vegetation type and actually inputting the data into the reclassify tool took a couple of tries before we got it right. Also, when trying to combine the two maps, the slope map and the land cover map, using the raster calculator, we encountered a small problem. When we would try to input the two layers into the calculator, both weren’t listed. With a little manipulation (and with Jida’s help), we figured out that the layers needed to be activated in order to be put into the calculator. Once the problem was solved, I realized that minor details, no matter how small they are, always need attention. Something as small as not activating a layer can easily frustrate you when trying to complete your map. I definitely learned from that minor mistake and will always remember to make sure every layer is activated. Lastly, choosing a proper color ramp to clearly indicate the presented features was fun, but also a challenge. Overall, I enjoyed working together with my classmates to make these maps.


Monday, August 22, 2011

Final Project Research Topic



Does Income Influence the Prevalence of Obesity?

Obesity has become an increasing epidemic in the United States in recent years. About 60 million adults, or 30% of the adult population, are now obese.  And since 1980, overweight rates have doubled among children and tripled among adolescents –increasing the number of years they are exposed to the health risks of obesity.  In fact, in Los Angeles alone, 14% of students were obese. Also, based on a large national study, body mass index (or BMI, an indicator of excess body fat) was higher every year between 1986 and 2002 among adults in the lowest income group and the lowest education group. So for our project, we decided to explore the correlation between low income household distribution and obesity  in Los Angeles with 3 maps: 

1) a map showing distribution of income/household
2) a map showing distribution of fast food restaurants
3) a map showing the prevalence of obesity



 We will be collecting data using TIGER and LA County GIS
1. TIGER: http://www.census.gov/geo/www/tiger/
2. LA County GIS: http://egis3.lacounty.gov/eGIS/


We also found a map with the prevalence of overweight children on this pdf file so we will try to extract/find this information.
http://publichealth.lacounty.gov/ha/reports/habriefs/lahealth073003_obes.pdf


Lastly, we are beginning to collect the addresses of multiple fast food restaurants including McDonalds, Burger King, Carls Jr, Taco Bell, and KFC in Los Angeles County.

Group members- Ellyse Briones (me), Eric Ching
Eric Ching's blog- http://ericchingsgeog7lab.blogspot.com/

References-
Obesity facts
http://www.cdc.gov/HealthyYouth/yrbs/pdf/obesity/losangeles_obesity_combo.pdf
http://frac.org/initiatives/hunger-and-obesity/are-low-income-people-at-greater-risk-for-overweight-or-obesity/

Monday, August 15, 2011

Quiz #1 Marijuana Dispensaries

I am against having the marijuana dispensaries located within 1000 feet of schools, parks, and libraries. I believe that marijuana dispensaries should not be within 1000 feet of schools is because, using ArcGIS to create the map above, you can see that many dispensaries are located within the 1000 feet, majority of them being schools. I created 1000 foot buffers around the Los Angeles schools, public parks, and public libraries. As shown on the map, many dispensaries overlap over the schools buffer zones alone and only a handful shown in the map are located outside of the buffer zones. Clearly, majority of the dispensaries would be affected if the LA city council decided to require the dispensaries to be 1000 feet away from such locations. It affects the owners business, having to relocate to another location, which wouldn’t be feasible especially in our economy today. It hurts the business owners and our economy equally.  Even though it seems like a good idea for the dispensaries to be 1000 feet away from schools, parks, and libraries, it isn't a feasible because children are exposed to many things and just putting things like dispensaries farther away wouldn't solve the problem. The ordinance is unnecessary and would just hurt more.

Cites-
for schools
http://gis.ats.ucla.edu/Mapshare/
for Los Angeles
http://www.census.gov/geo/www/tiger/
for parks and libraries
http://egis3.lacounty.gov/eGIS/

Lab 2, Geocoding




         Being a college student, you learn what the term "all-nighter" truly means. Whether you are cramming for a midterm, finishing up a project due in the morning, or just staying awake to party and hang out with friends, all-nighters are common in a college setting. But how do these college students do it? With caffeine of course! There are many coffee shops in the Los Angeles area, but one dominates them all, Starbucks. The topic of my Geocoding project are the closest Starbucks locations to UCLA. Using the company's website, they had a Find a store generator and the 50 closest locations to Los Angeles zip code 90024 were listed. Using the address locator in geocoding in arcGIS and the Los Angeles county map downloaded from Tiger/Line, the top map shows the distribution of the Starbucks locations closest to UCLA. The closest location is on Weyburn and it is even a short walk away from my apartment. The farthest location is approximately only 10.3 miles away in Marina del Rey, a 15 minute drive from Westwood. Through geocoding, it is evident that there is a great concentration of Starbucks locations in the Westwood area not just because of the student population from UCLA, SMC, and Mount St. Mary's college, but many businesses are located in this prime metropolitan area in the westside, so many business men and women are avid Starbucks customers. The distribution of Starbucks locations in the Westwood area are clearly shown in the map but not intended to be used as a reference map. By using geocoding, it shows useful information that can help the user analyze the locations of places in relation to their own location.