Justine's GIS Blog

This was an extremely helpful exercise to learn some of the really cool and interesting things that can be done in ArcGIS Pro. I don't know if I will remember everything, but I learned a lot.  Part 1 asked us to Map Arctic Sea Ice (Map 1). I added the five elements discussed in class (Title, North Arrow, Legend, Scale, and credits) which will be seen in Maps 1, 2, and 3. Maps 4 and 5 do not have all five elements due to me following the tutorials directions to make sure my final product matched. Map 1 Part 2 asked us to refine symbology which is depicted in Map 2. Map 2 Part 3 asked us to label the map which is depicted in Map 3. Map 3 Part 4 asked us to arrange a map layout which is depicted in Map 4. Map 4 Lastly, part 5 had us make an inert map and finalize the presentation, which is depicted on Map 5. Map 5 This final product looks polished and ready for print. This tutorial explained the many different ways ArcGIS will allow us to portray maps and information, making it pleas...

 For this week’s blog I decided to georeferenced a map from downtown Columbia in 1898 which depicts buildings between Sumter, Marion, and Bull Street. After georeferencing the map I added polygons to depict the main buildings in four street blocks (Map 1). I created an attribute table to add the house number, street name, number of floors, and the type of building (Fig. 1). After completing the table I used the “Unique Values” in Symbology and used BuildingType as the field to color the polygons. This allowed me to change all the domicile buildings to dark green, churches to white, and unknown / commercial to purple. There were three unknown buildings that had names associated with them, however the map keys did not provide me with the specific type of building, so I chose to label them partially as 'unknown" as to not assign my own interpretation onto the buildings. In the attribute table notes I added the building’s name, so it’s recorded along with the building type. Map 1 ...

  The data sets I chose for this week’s blog were Population by Race (1920, 1930, 1940), Total Population, Race, and Total Families Reporting Radios. Choosing the data sets this week was challenging. I tried looking at farm value or farm equipment based off race or population but had difficulty getting a map that accurately depicted what I was trying to determine. After messing around with a bunch of different data set options I decided to use the family radio data set as a base and look at how that changed based off race.  Map 1: 1930 Radios / Population Map 2: 1930 Non-White/Population Map 3: Radios / Non-White Population It was extremely interesting to me to see that the majority of “non-white” Americans resided in the south but almost all the “non-white” families that owned radios were in the north. Meaning first off there were not many non-white families that owned radios but that the areas they were most populated still didn’t have many radios at all. That had me asking,...

 hhh   The map above shows the movement of people born in New York and Ireland across the US. While a majority remained either within New York or its surrounding states, there were some who moved to the complete opposite side of the continent, in Oregon, California, and states in between. Such a long distance from where they were born can be attributed to a number of factors occurring in the mid to late 1800s. Concerning the why; there is the notion of Manifest Destiny in which westward expansion was driving the US to keep pushing further and further into Native American territory. Additionally, the Homestead Act of 1862 was a large incentive, giving 160 acres of land to settlers willing to settle and cultivate it for at least five years. [1] The cities were getting overcrowded and with the potato famine hitting Ireland, Irishmen were heavily immigrating to New York. To help alleviate unemployment and overcrowding, these conditions likely influenced some New Yorkers and Irish...

Portland, Oregon HOLC Redlining Dataset And 2010 Census Dataset Map Map A. Layered combination of redline grade in1940 and 2010 census data on the overall percentage of black households. Map B. Just the 2010 census data on the overall percentage of black households. Map C. Layered combination of redline grade in1940 and 2010 census data on the overall percentage of black households (but showing legend w/ black household percentage).  Map D. Oregon Census 2020 - Black population percentage For my map I explored Portland, Oregon (West Coast Best Coast!) and looked at the racial demographics for black households in the city. I also decided to look at the Oregon 2020 census to compare where the black population resides a decade after the 2010 census date. While population and households are not interchangeable it provided an intriguing experience and prompted me to ask about how the population has shifted and wonder if that would change the household information.  1)  ...