Spatial Analysis

 For this week I looked at the spatial analysis of population within 5 blocks of NYC, I am actually not sure the exact neighborhood now that I am writing this away from the map. But first, this is the population through kernel density within those 5 blocks. 

Next I want to show you the Mean center of this population in those 5 blocks

Next I looked at the Black and white population through kernel density, first lets look at the Black population through kernel density:

We see a slight difference in population density here. There is a high concentration in the northeast of the 5 blocks and the southern part of the blocks. This is reflected in the mean center here:

Next I want to look at the white population in these blocks through kernel density:

And lastly, the mean center of the white population: 

Looking at this you can tell that there are some discrepancies with the way that population is spread out throughout the kernel density. It is appears to me and stood out to me that the population density for the white population is very similar to the regular population. I am not sure if that is just the way that it spread out or if there is a glitch in the dataset. I think there are many historical questions to address when looking at this spatial data. The main question I would have is the racial demographics of NYC in 1910 and how that could have changed over time especially with going into the Great Migration which would take place a couple of years later.