Wednesday, July 26, 2023

Map Critique: Global Prison Population

 


        The map above is taken from an article on brilliantmaps.com and was created by @theWorldMaps, an anonymous individual who posts cartographic content on social media.  This individual appears to be an experienced cartographer, making captivating maps that rival those published on news sites and articles.  On their map of prison population per 100,000 people, the skillfull execution of the text demonstrates this best.  The map’s title, legend, and text size are all appropriate.  The author and the source are listed at a standard location at the bottom.  The same caliber of clarity is also seen on the chart that lists the most incarcerated countries and the least.

            Data found on the map appears to be from a reputable source: World Prison Brief (2021).  The writer on brilliantmaps.com chose to publish the data along with the map, making it convenient for their readers.  The data is quantiative and only measures one variable, which keeps the map simple and easy to understand.  One thing I would have added to the map as a cartographer is a link to the data, since it is published online.  When counting prison population, each country is coming up with their own figures, so one possible limitation to the data is the reliability of what each country is reporting.  There is no way for a cartographer or a reader to verify the prison population of other countries other than relying on their word.

            It’s hard to see an ecological fallacy on this map.  One thing I’d address is the issue of seeing random countries on the map with their prison data and flags.  It lends these countries a false sense of importance in relation to the map.  For instance, there is no obvious connection between Canada, Costa Rica, India, and Cameroon- all of which have labels and flags- so why is their data singled out?  It seems the cartographer was only doing this for effect.  But by doing so they made the prison populations of these countries seem more important than others, especially since the leading figures aren’t involved.  (Thailand has the biggest number on the map, 411, yet we can see from the chart that many countries exceed this.)  It would have made more sense to label the largest countries or the most populous; the ones that always draw our attention on a world map, like the U.S.A., China, Russia, and Brazil.  They also could have chosen to label no countries at all and it still would have had compelling information, along with giving the map more consistency.

            Another fallacy the reader may commit is that the U.S. justice system is bloated (by being #1), or that Latin American countries have more criminals, both which seem like oversimplifications.  It would be interesting to see a map like this broken down by the type of prisoner, i.e. felons, murderers, drug abusers, etc.; that may serve to show that certain countries are more strict about certain types of crimes and therefore have more prisoners.  Though it would be very difficult to find reliable information on this, throwing someone in prison for writing bad things about a government or possessing marijuana is a far cry from theft and murder.  Another possible fallacy is that the darker countries treat their citizens worse, which the lone comment on the article demonstrates.  Complementary data that would offset this perception is the addition of the human rights index for each country.

            The color scheme chosen does well to bring the map into focus.  Darker countries are ones we’d expect to have more prisoners- lighter ones we’d expect to have less.  Red is a good intermediate color between purple and yellow.  Though the map will work for a color blind audiece, it does not appear to work for photocopying, LCDs, and printing (colorbrewing 2.0).  The text color in the title, particularly on the word “prisoners”, also works well to bring the map into focus.  Choosing the same color that matches a heavily populated country (purple) of prisoners is a nice touch that I may consider in my future cartography studies.  One thing I would eliminate on the map are the flags, since they take the focus away from the map’s theme, and also take up unnecessary space.

            As an American, the strongest message I gather from the map is that we are spending an unnecessary amount of tax dollars on our prison population.  Instead of sustaining prisoners, we could be spending the money on rehabilitation and psychological improvement, leading to reduced sentences.  Europe doesn’t seem to have this problem, so the idea could be to compare our system with some of theirs to see what is happening, whether it’s at the state or regional level.  My hunch is that institutional racism plays a heavy role in our inflated prison numbers, something Europe isn’t as plagued with.

Furthermore, and perhaps more surprisingly, it doesn’t appear that authoritarian regimes have a higher ratio of prisoners than democratic regimes.  This could mean that justice systems are stronger in democracies, or that the prisoner population in places like China are under-reported.  A fascinating addition to this map would be the type of government hosting the prisoner population and the conclusion such an analysis would suggest.  Another addition to this map could be an index for racism in each country.  Democracies scoring high on such an index may show higher prison rates, lending support to the idea that institutional racism translates to more prisoners.

 

Sources:

Brilliantmaps.com.  2023, March 28.  Number of Prisoners Per 100,000 People Around the World.  https://brilliantmaps.com/number-of-prisoners-per-100000-people-around-the-world/#more-4628

Color Brewer 2.0.  https://colorbrewer2.org/#type=sequential&scheme=YlOrBr&n=7

 

Thursday, July 20, 2023

Chance

You, the shifty robber of despair,
A momentary passion of hope
That seizes misery by the throat,
Open the door to ardent paradise
In a bonfire of imaginary promises.
Take this anxious heart beyond
Industrial poison, the dirt submerged,
Diluted soap of freedom penetrating
Obscured senses, prying new eyes open
That seek solace in love and oblivion.
Up in the sky your light shines,
Designed to be recognized
By the wise or the lost,
Fragments in retrograde once cheated,
Brought to the knees by heavy burdens,
Kisses and smiles grappling for air,
A buried redemption that seeks to escape,
Setting the loose knots of history in order.

Thursday, July 13, 2023

Map Critique: N.B.A. Fan Map

 

The image above is a map taken from a New York Times article on N.B.A. fan base.  Each color represents a team and the extent of their fan base, shown in varying shades depending on how dense the location’s devotion is to one team (Giratikanon et al, 2014).  As with most of the newspaper’s maps, it is intriguing to look at, but a close inspection reveals some problems.

The title is good; it draws the reader in by asking a question, then states what the map is about.  There is no legend however, so the reader must infer that each color on the map represents a specific team.  This can be troublesome because it isn’t immediately obvious that the Lakers are “America’s Team”, which is shown in shades of purple across most of the country.  (When I first saw the map, I thought the purple and gray areas didn’t have any strong fan base.)  Another problem is the source information isn’t displayed on the map; the article needs to be read to find it.  Also, the font is a little hard to read because of the color; oddly the Nets are by far the clearest to read, having a black font on a white background.  To make the map more legible, I would have chosen black for all the teams and not used it as a color on the map.

            The biggest problem with the map is its data source.  The writers of the article claim it was calculated by analyzing Facebook likes per zip code.  “We then applied an algorithm to deal with statistical noisiness and to fill in gaps where data was missing” (Giratikanon et al, 2014).  It isn’t clear what this means, and the idea of reporters modifying statistics isn’t a good one.  They should have gotten data from a more reputable source and been more transparent about the data collection method.  At least they acknowledged it is an imperfect method in the article, but then they justified it by saying “Facebook likes show broadly similar patterns as polls do” (Giratikanon et al, 2014).  Based on how consistently the map matches up with each team’s host city, the data might seem accurate, but there is no statistical information present in the article, nor is there a link to any.  The reader can’t tell if the map is showing solid data, or if it was made up.  It also fails to meet cartography standards because the source for the data cannot be found on the map itself.

            Another issue is that the map does not include the only Canadian team in the N.B.A: the Toronto Raptors.  This omission makes the map incomplete.  Thus, I would have included southern Ontario on the map, but not the rest of Canada because it is so big.  Including Canada on the map would have been it less aesthetically pleasing, due to the enormous amount of land that would supposedly favor the Raptors or Lakers.  My addition would give a fair representation to the Raptors and still keep the map in balance.

            There is a risk of ecological fallacy on this map, where the reader might assume that just because a city hosts a team, the region surrounding it will have a high fan base.  But if we look closely at the map, we notice several cities have relatively low fan bases compared to the surrounding region (Atlanta Hawks, Washington Wizards, Charlotte Bobcats).  To guide the reader away from that assumption, I would have put more text in rural regions where the Lakers, Heat, or Spurs are more favored.  Being that the map was made in 2014, when the Heat and Spurs were in the N.B.A. finals, it is no surprise to see them as the favorites in much of the south-east.  To underline the importance of this, I would add a caption stating that this is a historical snapshot of the N.B.A. and not a current one.

            As for color, most of those on the map match the team logos and jerseys, making them familiar to fans.  The most glaring exception is the Miami Heat, which should be red.  I can’t imagine why they decided to use black, unless they were trying to match them up with the Spurs, who were also in the finals that year.  Also, I would have used yellow to describe the Pacers and Warriors, since that is their true color and purple and blue are already in abundance on the map.  The resulting higher variation in color would help to discern the boundaries between fan bases more.

            I think the message of the map is straight forward and there is no underlying one intended by the writers.  Perhaps an unintended message is that teams in the finals deserve more attention and that is why we see them more represented on the map.  Logically they would get more attention from Facebook’s algorithms, as the finals are a huge public event, and the algorithm boosts the popularity of newsworthy items.  More likes for these teams in rural areas seem inevitable, so eliminating them from the data in appropriate places might have made the map more accurate.  Regardless, I found it to be a fun and interesting look at where fans gravitate around the country.

 

Giratikanon, Tom, Katz, Josh, Leonhardt, David, Quealy, Kevin.  2014, October 19.  Which Team Do You Cheer For? A N.B.A. Fan Map.  The New York Times.  https://www.nytimes.com/interactive/2014/05/12/upshot/12-upshot-nba-basketball.html

The Genie

Brush gently, open me up
Out of these confines, these corners,
The walls disintegrating,
The office dissolving before my eyes,
Help me out of the cement,
Untie the ropes that keep me bound,
Draw me through the opening
Like a spirit escaping mortality.
Give me eyes that are fresh
That I may see the world anew
As a newborn through a birth portal,
Electric wormhole to the world outside.
My talents are confiscated, my passions subdued,
Suffocating under my own magic,
Here in this lamp, a castrated dilletante
Waiting for the miracle,
Some wise soul to rub me out,
Resume growth, engage potential,
When it happens I will reach humility,
Sanctity, the orbital webs of joy
Kneading my completeness, in service to others,
A Bishop removed, snapping off chains,
Freedom to move, free to live.

Software

My body is the motherboard, With circuits that calculate The answer to every imbalance. My eyes are the monitor With rods and cones intercep...