Both these shapefiles were then overlaid in ENVI to give a better visual of the region being examined. ETM+ files of Los Angeles County were then downloaded from the University of Maryland Land Cover website (http://glcf.umiacs.umd.edu/.). The Infrared and Near Infrared bands were downloaded so that we could then create an NDVI with the data. These two bands are especially useful when examining tree cover and vegetation of a specific region.
An NDVI (Normalized Difference Vegetation Index) was taken of the data so as to more accurately asses the vegetation in areas within the Los Angeles City Border, and specifically within gangland areas. Through a process of masking and highlighting the specific region being studied, I was able to extract values of the NDVI for the Los Angeles City and gang lands. Park lands and park lands within gang areas were then used to create masks and compute NDVI statistics in order to study differences between the data. The shapefiles for the parks was found at the website:http://egis3.lacounty.gov/dataportal/index.php/. These two data sets were then compared and examined for differences in data that could lead to the conclusion of more or less vegetation present in gang areas versus the whole city of Los Angeles.
ArcGIS was then used to compiled the data and create more visually pleasing maps. Parks found at (http://egis3.lacounty.gov/dataportal/index.php) were overlaid on to gang regions onto an NDVI image of Los Angeles that was colored to more clearly depict green cover.
A Final Map comparing the average household incomes as found at the census website (http://www.census.gov/cgi-bin/geo/shapefiles2012/main) was created and compared to a map portraying the final green cover of Los Angeles. Both maps were given the same color scheme (and the boundaries deleted from the Demographic map) in order to show similarities between distribution of wealth and green cover.
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