If I was going to analyze the distribution of Tree Canopy in Portland, I knew it would be necessary (or at least extremely uselful) to be able to quantify that distribution. So, after much struggling with ArcGIS’ Maximum Likelihood Classification tool, I managed to classify a raster image of Portland. This means that I am now able to determine, for any given area of Portland, how many pixels of my twelve-gigabyte raster are showing up as tree canopy. This is a proud moment in my analysis, and I see it leading to great things in the future.
About Me
I am a student of Environmental Studies and Economics at Lewis & Clark College, with a background in design. I am interested in cities as systems and the role of urban amenities in their development. In particular, my thesis research considers the multifaceted role of the urban forest in shaping cities. I am extremely enthusiastic about data and the perspectives contributed by different ways to analyze it.
Post Categories
- Concentration (3)
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Recent Posts
- Making Ends Meet May 4, 2016
- The Value of the Scientific Method February 19, 2016
- The Value of the Scientific Method February 19, 2016
- A New Hourglass February 10, 2016
- Constructing a Portland Tree Narrative January 27, 2016