My master’s thesis involved applying the Community of Inquiry framework to code discussion posts by 3 presences as indicated in the content of each post: “Teaching Presence”, “Social Presence” and “Cognitive Presence”. Here’s a view of a semester’s posts, some… Continue Reading →
Greenland is a little windier than I thought… via Global Wind Atlas, which calculates potential for wind power generation based on wind density, speed and frequency. https://globalwindatlas.info
I’m tweaking my visualization to prep for Tuesday, and this one actually made me say “holy crap! I didn’t realize that!” Insight from data I’ve been staring at for almost 2 years. Nice.
9 easy runs to loosen things up for the season. GPS tracks show we basically did laps, with some variation.
A SUPER slow and easy first day on skis this season. I’m still in the discovery phase of reflection on my skiing, so I’m collecting a bunch of data. I wonder if it will be useful someday…
Strava just updated their global heatmap, visualizing all GPS tracks uploaded to the service. I turned off all roads and map labels, but it’s still pretty easy to make out the Calgary area… https://labs.strava.com/heatmap/#9.23/-114.91460/50.60659/hot/all
This is from a project page from a Spanish architecture firm. Looks interesting, but the radial layout and zoom/exploding details caught my eye. http://pyoarquitectos.com/by-the-way/reconstruccion-de-vehiculos-de-la-mirada/2/
I used this one as part of a keynote presentation at the Canadian eLearning Conference a few years ago – wound up having about 500 researchers and professionals sitting through a simulated LSD trip together. Highly recommended. Embiggen the image… Continue Reading →
not sure I’ve ever had a perfect score in anything. the numbers. they mean nothing…
From an article on the NYTimes, on a recent spike in fossil fuel emissions. CO2 Emissions Were Flat for Three Years. Now They’re Rising Again. https://nyti.ms/2jmn2V0
Enlighted has an energy monitoring tool that can be used to map “hot spots” in a building. This could probably be mapped onto occupancy/availability pretty easily. Combine it with RF signal mapping to figure out where wifi devices are throughout… Continue Reading →
I’m trying a new heatmap library that was developed for visualizing genetic and cancer data. It looks like it could be really useful for my dataset…
some great looking geospatial visualizations are possible with this toolkit. You know. if you’re into mapping data onto maps. http://uber.github.io/deck.gl/#/documentation/layer-catalog/hexagon-layer full toolkit available on github: http://uber.github.io/deck.gl/
Data from an article in JAMA, chart by Chris Canipe at Axios, which tells the story of the data more clearly than the bar charts in the original article. Original article: https://academic.oup.com/jnci/article-lookup/doi/10.1093/jnci/djx030 Axios chart: https://www.axios.com/axios-am-2507660413.html
I’m playing around with a radar view of my data – using the chart in excel, and then building it in an interactive format using Chart.js (which is much less painful to use than D3.js)
Playing with the translation data. Crazy convergence and divergence of agreement over translated words…
I’m playing around with a D3.js demo that shows a heatmap for calendar-ish data. Trying to figure out if I can transmorgify my data into a format that D3 could handle…
this “infographic” posted to /r/dataisbeautiful makes me twitch. It’s purely decoration, rather than visualization. The images obscure the data in an attempt to show cleverness, rather than trying to tell a story of the data…
Playing with layering to represent time, with x indication faculty (subject), y indicating # of courses, area = # of students… Update: I’ve since implemented this as an interactive bubble chart visualization. It works much better than I’d imagined –… Continue Reading →
Holy. That’s a lot of debt. http://www.visualcapitalist.com/63-trillion-world-debt-one-visualization/ What struck me was the dual visualizations – area of the country representing the sheer dollar value, colour representing that amount as a share of GDP. Interesting. Japan’s kind of a mess, apparently…. Continue Reading →
Interesting use of lego to visualize a calendar – and bonus marks for making it integrated. Apparently, taking a photo of the lego calendar with an app triggers google calendar somehow. http://vitaminsdesign.com/projects/lego-calendar/
We’ve seen the Citi volumetric data visualization prototype before, but this sample image resonates with me for how I might make my data project visible in 3D space (and interactive). via http://8ninths.com/case-study/citi-holographic-workstation/
the crazy wind today, in perspective…
This, from Wired – this shows twitter feeds for “people”, “companies” and “bots” – different activity patterns, with bursts vs. streams… image found on Wired UK archive: http://www.wired.co.uk/article/bot-or-not
This was a sidewalk-scale art project in Houston, with giant flowers lit from beneath showing various colours. Sometimes, they were in random cycle mode, sometimes, they seemed to be coordinated to show patterns. This would be an interesting and walkable… Continue Reading →
A crazy series of interactive visualizations of motion. What if people in a space bend the space time fabric like the traditional visualization of planets in orbit around the sun? How could these visualizations be used to provide feedback on… Continue Reading →
I dabbled with Microsoft Research’s “cognitive API” to mockup a concept of computational ethnography – using software to crack open media that might be used to document an event – to expose metadata generated about the content of an image,… Continue Reading →
still thinking about motion and traces of events, and got thinking about the particle accelerator at CERN. They use detectors and visualizations to make subatomic particles and their tracks visible to the naked eye. Snapshots of incredibly small and incredibly… Continue Reading →
When Lora guest-taught infovis, she talked about the drawers full of birds at natural history museums being a physical visualization – location, morphology, etc. This NYTimes article describes taking the birds out of storage, and using the gunk that’s built… Continue Reading →
I. Yarbrough, Q. Sun, D.C. Reeves, K. Hackman, R. Bennett, D.S. Henshel, Visualizing building energy demand for building peak energy analysis, In Energy and Buildings, Volume 91, 2015, Pages 10-15, ISSN 0378-7788, https://doi.org/10.1016/j.enbuild.2014.11.052. (http://www.sciencedirect.com/science/article/pii/S0378778814010081) Keywords: Energy visualization; Building energy demand;… Continue Reading →
Thinking more about non-linear visualizations of my data, something like this might work… From http://enterpriseiotsolution.com/smart-building/
From a 2014 article on Business Insider http://www.businessinsider.com/how-retailers-track-shoppers-in-heat-maps-2014-1 A company called Prism Skylabs (ominous!) (and their website doesn’t load now…) uses cameras (and computer vision?) to track where people walk, linger, and interact in a store. The pitch is that… Continue Reading →
A crazy visualization of physics articles by keyword, via Scientific American. https://www.scientificamerican.com/article/relativity-s-influence-is-still-going-strong-on-its-100th-birthday/
I just (finally) set up a Pinterest account. Judging from my first page of pins, I’m apparently thinking a lot about timelines with data layered together…
From http://itsybitsymag.com/2017/01/21/growing-portraits-grass-artists-ackroyd-harvey/ Ackroyd and Harvey grow walls of grass, and play with light and shade to coax the blades to have controlled levels of photosynthesis. Well-lit blades grow deep green, shaded blades are whiter. This would make an interesting display… Continue Reading →
Another one from /r/dataisbeautiful. Favourite colours of reddit users.
after talking about “fuzzy” visualizations in class yesterday, I thought I’d try feeding a visualization of my data through Google’s Deepdream AI hallucinogenic software. Fuzzy…
in light of this morning’s whiteness, I exported GPS tracks from my phone (using the Ski Tracks app) as KML files, and then imported those into Google Earth. Hoping to get back out to the mountains soon…
Actually, this was surprisingly useful. Will be exploring more. Need more lego…
thinking about constructive visualization, and playing with ideas to map my data into Lego space…
From GothamCulture, a link to an article on Life Edited: Each dot on the diagram below represents the location of one family member during a 10-minute interval. Not surprisingly, most families spend much of their evenings congregating in the kitchen… Continue Reading →
Encoding density data in a chart – I’m also wondering how I could adapt these to show temporal data, by grouping…
via the New York Times – the live version of this animates the ice data per year.
I saw this on /r/dataisbeautiful – I like the way it shows a range of values, in “lanes” corresponding to a month.The data is aggregated over 66 years, but still shows patterns, extremes, and norms. via https://www.reddit.com/r/dataisbeautiful/comments/71r4gj/max_daily_temperatures_in_mountain_view_ca/
Playing with tools from stage direction to visualize groups of people and spatial arrangement.
First, hesitant sketch of the data. I picked a subset to start – classes on mondays during f2017 – and explored with an aggregate timeline.
From the New York Times – damage to individual buildings from hurricanes on St. Martin / Sint Maarten. I’d be curious to see population density as well.
I got this after getting some blood work done. 2 samples do not make a very useful line graph.
census data on “high earners” by province. Globe and Mail made a chart of raw numbers, but it’s misleading without the “what proportion of the population is that?” per-thousand-residents calculation… Update: I made a quick version using Les’ calculations:
Students “vote with their feet” during a session in the TI. human-scale visualization of… what?
Hand-drawing a map of the world from memory under time constraint is hard…