Tag Archives: geography/maps

NASA Photos of a Changing World

NASA has posted a series of pairs of satellite images that show a range of changes around the world. They’re great for illustrating human-environment interactions; some of the changes are directly human-caused, while others, while others show the changing consequences of floods and fires as our settlement and agricultural patterns change.

For those of us living in Las Vegas, these images of the shrinking Lake Mead reservoir, which provides water and electricity, is not reassuring. The reservoir has gotten smaller due to multiple factors, including a long-term drought and more water being taken from the Colorado River upstream:

Deforestation in Niger, as land has increasingly been turned over to agriculture:

Here, we see increasing urban growth around Denver International Airport, which now takes up 53 square miles of what used to be farmland:

Algal blooms due to agricultural and household runoff into Lake Atitlan, Guatemala:

Changes to the Sonoran coastline in Mexico due to shrimp farming:

The dramatic shrinking of the Aral Sea, largely due to the amount of water taken out of rivers for irrigation:

The full set of 167 paired images is really striking, and if viewed in the “all images” layout, you can select among various topics, focusing on cities, water, human impacts, and so on.

 

Philadelphia Redlining Maps

Erin Hatton sent in a 1937 redlining map of Philadelphia, so I decided to update our earlier post on segregation and redlining in the city.

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One historical cause of residential segregation was redlining. Lenders would color-code different neighborhoods on residential maps; red was generally the color used to designate a neighborhood as “dangerous,” meaning mortgages would not be approved in those areas, since they were considered to be high-risk areas for mortgage defaults. This was generally a blanket rule: people found themselves unable to get mortgages to buy property in redlined areas, regardless of their income or the value of the particular house they wanted to buy. And a high proportion of Black (and sometimes White immigrant) residents generally meant that a neighborhood would be automatically tagged as a high-risk area.

The University of Pennsylvania Redlining in Philadelphia project provides an example of a map created to guide lending in Philadelphia. The map was created in 1934 by J.M. Brewer, who owned a real estate consulting company and later was chief appraiser for Metropolitan Life Insurance.

This legend was adapted from the original for the U. of Pennsylvania website:

The legend looks like the “colored” areas are coded yellow, but it’s actually red on the map. Brewer created another map in 1935 and helped draw the federal Home Owners’ Loan Corporation (HOLC) map of Philadelphia in 1937.

Erin Hatton sent a link to that 1937 HOLC map, which reflects the governmental institutionalization of racism, marking some groups as inherently undesirable:

If you go to Redlining Philadelphia and click on areas of the map, it links to the survey sheets used to rate each neighborhood. All include a section on detrimental elements and a demographics breakdown, with areas to note the presence of immigrants, African Americans, poor families, and so on, such as this section of a survey sheet for area 22, giving a security grade of D:

African Americans were not the only group targeted by redlining. For instance, the survey sheet for area 5 mentions the “danger of Jewish encroachment”:

Redlining made it difficult for Blacks (and some White ethnics) to buy homes. Racial discrimination meant Blacks often couldn’t buy homes outside Black neighborhoods, but Black neighborhoods were often redlined by lenders, meaning Blacks couldn’t get mortgages to buy houses inside them, either. As a result, African Americans were disproportionately barred from one of the major avenues to acquiring wealth (building equity through home ownership), leading to increasing racial disparities in wealth and home ownership over time.

Also check out our post on segregated Durham.

A History and Account of Daylight Savings

In just 6 1/2 minutes, CGP Gray offers a humorous and info-packed account of Daylight Savings.  He tackles the historical rationale, the role of the equator, the contemporary debate, and the wildly wacky situations it causes today (far more wacky than you probably imagine). Enjoy:

Also from CGP Gray:

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

1937 Map of Segregated Durham

Trudi Abel, who directs the Digital Durham Project at Duke University, sent in a map she thought we might like to post. Created by the Department of Public works in Durham, NC, in 1937, the map illustrates the legal and taken-for-granted racial segregation of the time. The map indicates which parks and residential areas were for Whites and which for African Americans:

The map:

Obviously you can’t see much, other than a general idea of which parts of town each race lived in. Go to the Digital Durham website and click on the map for a version that lets you zoom in to read all the details.

You might also want to check out our posts on a 1934 redlining map of Philadelphia and 2010 Census data on segregation.

The Social Construction of the Continents

In the 3 1/2 minute video below, CGP Gray explains the nonsense behind the word “continent.”  It’s a cultural construct, with some geological rationale, but not enough to rationalize the seven that we recognize.

Also from CGP Gray: What the Bleep is the United Kingdom?! and The Economics of Royalty.

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

Cultural Patterns and Geographic Terms

Dolores R. sent a link to a map created by Derek Watkins to show how the names given to geographic features reflect cultural patterns. Using a database of names officially accepted by the U.S. Board of Geographic Names, Watkins mapped generic terms used in the names of streams (excluding “creek” and “river,” which are commonly used throughout the U.S and were plotted in a gray that fades into the background):

The generic terms reflect historical immigration patterns. “Kill” appears in areas of New York originally settled by the Dutch; “cañada,” “arroyo,” and “río” indicate areas of Spanish exploration and settlement in the Southwest; of course, Louisiana and the surrounding area still reflects its French heritage through the term “bayou.”

The map reflects internal migration and cultural diffusion within the U.S., as well. For instance, Watkins suggests that the patch of red in southwest Wisconsin, indicating the use of “branch,” may be due to the lead mining boom in the early 1800s. Lead mining attracted Appalachian miners to the area, and they may have influenced local naming practices, bringing along terms common in Appalachia.

For more on the interconnections between geographic names or terms and larger cultural patterns, Watkins suggests reading Names on the Land: A Historical Account of Place-Naming in the United States, by George Stewart (2008). Another excellent source is Wisdom Sits in Places: Landscape and Language among the Western Apache, by Keith Basso (1996).

Native American Reservations, Representation, and Online Maps

As we live our lives increasingly in the digital realm, the sights, sounds, and moving images of the internet impact our conception of the world around us. Take, for example, the many online mapping services.  What began as simple tools to find driving directions have evolved into advanced applications that map multiple layers of data.

But who decides what we see? What features are considered sufficiently important to be included? And what information about our country do those design decisions make invisible?

As a fan of Google Maps, I became accustomed to a visual style that favors brevity and aesthetics over sheer volumes of information. Until recently, when you used Google Maps, this is the type of image you’d get of the U.S.:

Notice the light grayish splotches that I circled in red in states such as South Dakota, Montana, and Arizona? Even if you zoomed in, they remained unnamed, mysterious features.

Google Maps has been updated since that screenshot was taken; here’s the map of South Dakota you get today:

Now the mysterious blotches have disappeared from the map altogether.

I happened to click on a link that took me to Bing Maps.  I ended up scrolling around, and I noticed something different:

What were just discolored gray geometric shapes in the first Google map, and disappeared altogether in the second one, actually have names on Bing! They are Native American reservations. Yet even when you zoomed in on Google Maps, you never saw a single label that identified these gray areas in South Dakota (or any other state) as political and geographic entities with names.

Among the other map services, Yahoo! Maps and MapQuest do label Indian reservations while OpenStreetMap does not.

Some enterprising Google Earth enthusiasts also wondered about the absence of reservations — which are, after all, sovereign political entities — and have since created several unique layers that identify and outline Indian reservations throughout the United States.

While these mapping tools certainly empower the individual, it is the designers and the developers behind them who hold the real power.  I can only speculate as to why Google Maps did not include the  labels and then opted to remove Indian reservations altogether, but their decision impacts the way we understand (or don’t understand) the geographic and social reality of this country.

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Stephen Bridenstine is pursuing a history masters degree at the University of British Columbia, where he studies popular attitudes and public memory concerningIndigenous peoples, the historic fur trade, and the natural environment. He blogs about non-Native America’s weird obsession with everything “Indian” at his blog Drawing on Indians. He allowed us to include some of his observations about the inconsistent representation of Native American reservations in online map programs.

If you would like to write a post for Sociological Images, please see our Guidelines for Guest Bloggers.

Facebook, Technology, and Prostitution

Sociologist Sudhir Venkatesh, at Wired, summarizes an interesting finding from his research on a non-random sample of prostitution in New York City. The solicitation of prostitutes, he explains, has increasingly entered cyberspace. Prostitutes are now significantly more likely to be solicited on the internet than they are to be picked up in person or referred by a mutual acquaintance. Facebook, in particular, is now a primary way that Johns find prostitutes.

If solicitation is shifting, with more and more Johns finding prostitutes online, then sex workers don’t have to be physically find-able. And if sex workers don’t have to be anywhere in particular, then we might expect sex work to spread out throughout the city. This is, indeed, what Venkatesh finds. The side-by-side maps of New York City below show that, between 1991 and 2010, there are fewer highly-concentrated areas of prostitution (in red) and more moderately-concentrated that spread out further across the city.

So here we have an excellent example of how technology is changing work, leisure, and crime in interesting ways.

Via Cyborgology.

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UPDATE: A reader sent in a Salon article strongly criticizing the conclusions outlined above, so take this post with a grain of salt.