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*GEOG 291 Quiz completed*<\/p>\n
Introduction:<\/p>\n
My name is Darren Robinson, born and raised in Columbus, Ohio. Currently taking my first semester at OWU after completing the Associate of Science program at CSCC (Columbus State Community College). I’ve always had a curious mind and a love of learning. During college, I took filler courses in history and science, which made me fall in love with the subjects even more. Outside of college, I enjoy watching a lot of informational content on YouTube (examples: Biographics, CPG Grey, PBS Eons, h0ser, Real Science, Kurzgesagt, and more) and being outside, walking around parks and trails, and enjoying the scenery.<\/p>\n
About the reading:<\/p>\n
Reading Shuurman Chapter 1 has been an interesting read. This section discusses what made GIS so successful. It can be implemented in various fields for many purposes. Its origins trace back to McHarg (a landscape architect), who wanted to lay out a highway route for suburban development in 1961. Learning about the first computerized cartography system and its usefulness in describing certain data in a given area. Understanding the arguments about the introductory principles of GIS and the scholarly domain of GIScience. With the importance of understanding visual data and why it matters. (Delved into a rabbit hole learning about this topic specifically.)<\/p>\n
Before reading this, my knowledge of what GIS is was very little to none. After reading this text, I understand some of the concepts, history, background, and wide-scale integration. It’s a system about as old as my father (for context, he\u2019s 64). Another thing in the text caught my attention. The Quantitative Revolution was one of them, and it led me down another rabbit hole of research into the subject. It was a period in the 1950s and 60s that shifted geography toward a more systematic methodology. This, combined with newer computer technologies, played an important role in developing tools used not only to examine data but also to display it.
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This plays a big role in GIS; these programs create maps and models that we interpret based on given information (raw data). The text talks about the use of visual information as \u201ca seemingly \u2018unscientific\u2019 method.\u201d This is truly not the case. Shuurman mentions that humans understand visual information (compared to text) better. Why can visual information be processed better than words? To sum it up, a large part of our brain is used for visual processing. Homo sapiens evolved to conceptualize visual patterns before written language came into play. Finally, reading requires more brain power compared to looking at an image. Geographic Information Systems rely on this. They have a complex history, but the products they\u2019ve produced are important for the modern world<\/p>\n
Application 1:<\/p>\n
One of the applications GIS can be used for to help asses habitat quality due to human intervention. In this case, resource extraction.<\/p>\n
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