Justine's GIS Blog

For my final project, I’m considering focusing on the Damron Guide and exploring how the visibility and number of LGBTQ (primarily gay male) establishments changed over time in relation to the legality of homosexuality across different U.S. states. Specifically, I want to examine whether there was an increase or decrease in listings for states where homosexuality remained illegal compared to those where it had been decriminalized. To do this, I plan to use Dr. Amanda Regan and Dr. Eric Gonzaba’s data from Mapping the Gay Guides alongside state-level legality data to track changes between 1960 and 1990. I intend to reach out to Dr. Regan to see if she’s able to share the dataset from their project; if not, I may attempt to reconstruct parts of it myself. In addition, I’m interested in incorporating data on lesbian bars and queer women’s spaces from the same period to create a more inclusive picture of LGBTQ geographies. ArcGIS has an interesting interactive feature on lesbian bars ...

For this week’s blog, I focused on the New York City dataset. I initially attempted to use the tornado dataset but ran into technical issues with the tools, so I decided to shift my focus. My goal was to examine population, race, parental birthplace (foreign or native born), and the two most common occupations, domestic servant and clerk, to identify potential patterns. I used the ArcGIS Online datasets for the 1880 and 1910 Manhattan Dwelling records. From my initial maps, it’s immediately clear that there was a dramatic population shift between 1880 and 1910. During this thirty-year period, New York City’s population doubled, driven largely by massive waves of immigration; a trend clearly reflected in the visualizations below. In 1880, the population was relatively sparse, with most residents concentrated around 123rd and 125th Streets. In the unweighted 1880 map, only three Black residents are shown living within the dwellings. When the data is weighted, the Black population becomes...

For this week's blog post we were asked to recreate our Assessment maps from Thursday's class. The maps required: 1. Counties color-coded by 1942 collegiate football conference and the boundary of each conference. Label each conference on your map. Do not include the original map. 2. The number of conferences within 100 miles (Statue Miles) of each county. Include the conference boundaries. 3. The 1940 population by county for only the counties within 50 miles of a collegiate conference. Include the conference boundaries. My first map I georeferenced the map provided and then used polygons to create the boarders of each conference. I think spatial joined the conferences (and names) to the counties layer. This allowed me to run a "select by location" which I intersected the boundaries and counties, which allowed me to color coordinate the conferences. The second map required me to find how many conferences were within 100 miles of all the counties. To do this I ran a s...

For this week's blog I decided to look at the hurricane paths in the United States between 1970-2010, by decade. What I was hoping to look at was the path of the hurricanes on land, the counties affected within a 25 mile buffer, the black population in relation to these hurricanes, any patterns over the forty years, and lastly look at tornado patterns during the same timeframe. I ended up with four map for three different inquiries. What I was hoping to track was first the historical risk over the span of forty years. Second, if the black population was continually more impacted by hurricane and tornadoes. Lastly, the historical risk of tornadoes across the US; and answer the question on if the risk has increased, decreased, or remained consistent. Map 1 shows the hurricane land fall paths and the 25 mile buffer of impacted counties. The impact zone buffers are broken into two colors. The counties boarded in black are all the counties that were impacted. The counties boarded in pur...

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 ...