GIS Data can be a powerful tool when analyses are formed from series of maps. For instance, studying rental vs ownership status against the density of the city and different racial groups, it is clear that there are less open spaces in the most heavily renter occupied parts of the city and these areas are have more variety of ethnicities than anywhere else in the city. When this conclusion is compared with say income status, or age, or occupation, it may be possible to form hypotheses to understand how and why this is the current situation, and what its implications may be. How can the manipulation of mapping be used to better understand urban phenomena and draw conclusions from large data sets? How can color, 3d, transparencies, and layering of different maps more clearly exploit their inferences?
>>Survey and Empirical Observation
In a world of guesses and assumptions, real…
View original post 503 more words