occasionally subtle
I'd rather be in outer space 🛸
$LAYYYTER
noise dept.

Origami Around
Sweet Seals For You, Always
PUT YOUR BEARD IN MY MOUTH
Aqua Utopia|海の底で記憶を紡ぐ

Kiana Khansmith
Jules of Nature
Xuebing Du
Monterey Bay Aquarium

if i look back, i am lost
Today's Document
Three Goblin Art
AnasAbdin

#extradirty
DEAR READER
cherry valley forever
sheepfilms

seen from Malaysia

seen from Germany
seen from Malaysia
seen from Puerto Rico
seen from United States
seen from United States
seen from United States
seen from United States
seen from United States
seen from Sweden
seen from United States

seen from Japan
seen from United States

seen from United States

seen from Germany
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seen from Germany

seen from United States
@noodles516

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God’s timing is perfect. It’s just the waiting that’s the hard part. When my patience is wearing thin and it seems as if God’s timing might be never or forever, something reminds me that the wait is worth it… one day God will show all the great stuff he was doing when I waiting for him to “show up.”
Part of a recent conversation. (via churchjanitor)
Walk in New York - Vintage - Postcard - NYC The Wonder City

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Kahnawake Mohawk iron worker atop a column in NYC in the 1960s. (source)
This visualization from The New Yorker has gotten a great deal of press in the past week, and the attention is well deserved. It breaks down New York City’s distribution of wealth along each subway line, using the visual structure of the subway map and translating it into a line graph to represent data extracted from the US Census. Carpendale’s “Evaluating Information Visualizations” posits that the three tenets of generalizability, precision, and realism are key for an effective visualization. In this case, each of these criteria are well represented. The graphs represent a general look at NYC residents’ income levels, covering the millions of people that live along the various subway lines, and they could be relatively easily replicated using data from other urban areas. Because the data used for the visualization was gathered by the Census Bureau, it can be assumed that it will be as precise as possible. In addition, the results seem to be realistic based on a general understanding of NYC demography. Overall, this particular set of graphs serves as a solid, effective example of data visualization.
I also found this infographic from the New Yorker to be very compelling and well-designed. Each individual subway line, when selected, shows a simple line graph of the median household income of the census tract(s) represented at each subway stop. One can hover over a particular stop to see the median income and census tract represented.
I would have liked to overlay two subway lines to compare trends, but that feature was not present. I did use this infographic to compare median income between the two stops closest to my apartment: 181st street off of the A and the 1 ($70,644 and 27,324 respectively). I found this quite striking, as the stops are only separated by several blocks.
Regardless of the limited scope of the interaction design, this elegant infographic remains useful for analyzing income trends at a glance, particularly within one subway line, which was, after all, the intent of the visualization.
Researchers at Baylor compared a normal human genome with that of the MCF-7 breast cancer cell line to analyze the genetic differences. This infographic summarizes the results quite well. Around the outside are the normal chromosomes, each individually colored. The inner ring depicts the breast cancer chromosomes.
Blue lines show DNA rearrangements within a chromosome, while red lines show transpositions between one chromosome to another. Overall, 157 rearrangements were found between the two genomes.
Comparative Genome Hybridization data, which I don't entirely understand, is plotted in the grey bars immediately inside the normal chromosomes, and I think shows differential expression between the normal and breast cancer cell lines; gains are represented in lime green, while losses are in red.
I think this is a very effective visualization which simplifies a vast amount of genetic data into one consolidated graphic. The hybridization data could have been left out and represented in another instance of the graphic in order to simplify it further.
The visualization can be viewed at the following sites:
http://www.nytimes.com/2008/12/25/science/25visual.html
http://www.genboree.org/java-bin/MCF7/index.jsp?isPublic=Yes
http://genome.cshlp.org/content/19/2/167.long
*This third link includes even more fascinating representations of the team's data.
Mountain Visacacha (Lagidium viscacia)
Also known as the Southern Visacacha, the mountain visacacha, while it may look like a rabbit is a species of rodent related to chinchillas. Mountain visacachas are found throughout the Andes mountains in South America. Viscachas are also diurnal and emerge from their cliffside dens to feed on vegetation and bask in the sun.
Phylogeny
Animalia-Chordata-Mammalia-Rodentia-Chinchillidae-Lagidum-viscacia
Image Source(s)

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André Kertész
Washington Square
New York, 1954
From André Kertész
(via liquidnight)
Middlebury Harlem Shake

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