![]() The final part will explore how we created the charts, maps, and dashboards in HeavyImmerse. The second part will discuss how we acquired the data for each census and the Python notebooks used to turn the census block group polygons into individual points. The first part (the remainder of this post) will explore some of the surprising knowledge gained from the analysis and visualizations. This three-part blog series will show you the following: To best show you all the results and how we made it possible, we've prepared a three-part blog series, a collection of videos, and published a public demo so you can explore your neighborhood or hometown. With these three decades of data and intuitive maps and charts, we end up with a set of dashboards that allow us to explore and interrogate 30 years of US census data population density changes at the very granular census block group level. These dashboards have data from the 1990, 2000, 2010, and 2020 censuses, representing over a billion points at the one person to one dot resolution. We took population density dot maps one step further by creating a set of Dot Density Dashboards. We wanted to fix this, and thanks to HEAVY.AI, we can. They aren't very interactive beyond zooming/panning and don't allow us to understand changes over time. The challenge with most dot density maps is they're often slow (hundreds of millions of points is a lot!). While they've been used for some time, dot density maps have recently gained more clout with the 2010 Racial Dot Map, the New York Times' Mapping Segregation, or even this cheeky XCKD map (with 250k people per dot) of the 2020 election results. You may be asking, what is a dot density map? Dot density maps are an intuitive method for demonstrating how humans cluster together or disperse across an area, which is particularly valuable when visualizing demographic data or voting results. This census GIS data has enormous public policy implications like congressional redistricting, representation, gerrymandering, and a general understanding of US population distribution and how demographics change locally and nationally. The redistricting results landed in August 2021, and the newest set of American Community Survey (ACS) data will come out in late November 2021. When a dot symbolizes a person (or 100 people), there's just something surreal about recognizing how and where we've clustered across the continent.įast forward to today, and the US 2020 Decennial Census results are slowly starting to come in. Transfixed with how the dot density map represented population distribution, I observed the effects of segregation, immigration, and gentrification like never before. It was back in 2010 when the University of Virginia released the racial dot map with that years' decennial census. Minneapolis-St.I remember the first time I saw a dot density map. Miami-Fort Lauderdale-West Palm Beach, FL MSA Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA Washington-Arlington-Alexandria, DC-VA-MD-WV MSA New York-Newark-Jersey City, NY-NJ-PA MSA metropolitan statistical areas ranged by population. These areas, placed further away from large centers, have at least one urban core of 10 thousand but less than 50 thousand citizens. ![]() Micropolitan Areas are the minor areas marked a lighter shade of green on this map. The largest population areas are sometimes incorporating many U.S. Metropolitan Areas have at least one urban core of at least 50 thousand population. Census Bureau’s gigantic latest map shows 392 metropolitan and 547 micropolitan statistical areas. Census Bureau divides these settlements into metropolitan and micropolitan statistical areas.īelow, the U.S. The United States is the third most populated nation globally, with 331 million people who live in 19,502 incorporated cities and towns of these, 16,410 had a population under 10 thousand while, and only ten cities had one million or more. ![]()
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