Today marks the first day of a new year (in a way). No, it’s not the first day of another year at Bristol: it’s the first day of a new lab notebook. I’ve been keeping lab notebooks consistently since the start of my PhD, but I’ve only kept the ones since I moved to Bristol in 2017. I think the practice is very helpful; something about writing things down (not typing) helps me hold onto them more.
I’ve been getting very interested in the concept of the “boomerang generation” and the tension that broader social trend has with ideas around Cottagecore. They’re two very strong forces acting on the middle class… returning to intergenerational houses, folks can afford to live in the city. But, if the young increasingly don’t want to live in cities due to changing tastes and preferences, then we get another wave of suburbanization. Given my own short stint “boomeranging” to the countryside during the COVID-19 lockdown,1 I’ve been very intrigued by the intersection of the “return of the multi-generational” household and (possible) change in the tastes and preferences of young, house-buying people.
I suppose I’m writing this as an act of defiance against the lethargy of the Great Stall, or maybe just a way to process some feelings, but I’ve really tried to branch out across the full set of geography recently. I’ve been reading so much more than I used to, especially across the breadth of human geography. It’s been enlightening.
For instance, after finishing the excellent piece on the discontinuing of the Univeristy of Michigan department of geography by Huntley and Rosenblum, I found myself working back through some of Olsson’s work.
For an intro & discussion of some of the fundamental ideas in spatial statistics, we’ll cover a few main topics.
Logistics Courses start at 11AM on the date listed. The “Join Remotely” links will work at 10AM for students to check their AV equipment. The remote sessions will be open from 11AM, through both practical sessions (1-3PM, 4-6PM).
Plotting & spatial relationships in R (notebook)
This practical/component will cover some of the fundamental concepts in quantitative geography, such as:
Man, it’s been a busy start to 2020. I’ve had such a great time talking to folks about new ideas on cities, spatial statistics, and machine learning. Back in late January, I gave a talk on our now-published paper on social boundaries in cities at CUSP London (slides), invited by my gracious and wonderful host, Jon Reades. Then, I went off to western Ireland for some short R&R, catching gale force winds at the Cliffs of Moher & some nice evenings in Dingle, Co.
Tuesday, I present on some of my research at the Lectures in Planning Series for the Columbia Graduate School of Architecture, Planning, and Preservation. The work is on some of my current papers & methods for boundary analysis, understnading the structure and shape of boundaries in urban envionments. I’ll talk a litte bit about my Geosilhouettes paper (with Eli Knaap and Serge Rey), as well as two other papers (one on Kernel Learning and another on information theory, with no preprint availble).
On “Routine” Computing at Scale as a Disabling Technology
Ever since I read Mark Gahegan’s discussion and definition of Geocomputation in preparation to run the AAG 2019 Urban Data Science Panel, something he wrote about has really stuck in my mind. Namely, his discussion of disabling technologies is both very cogent and intellectually flexible:
Disabling Technology (Gahegan, 1999) The late 1970’s and early 1980’s saw the rise of databases; large monolithic systems that standardised on interfaces, file structures and query languages.
On the 11th, I’ll be speaking at the Q-estival at the University of Exeter‘s Q-Step Centre. The Q-Step program is a program to promote a “step change” in quantitative social science skills in the UK. I’m the Bristol Geography lead for the program. I’m real excited to take my first trip out to Exeter, see the place, and talk about some interesting computational social science!
In my talk, I’ll present some work I’ve done with Eli Knaap & Serge Rey on urban social boundaries.
I recently finished reading Cal Newport’s Deep Work: rules for focused success in a distracted world. While it’s pretty reasonable advice (like the nugget “When you work, work hard. When you’re done, be done.” p. 154), there are a few really powerful parts that I found very affecting and reasonable. Since I bet most folks take one message from Newport’s very well-publicized media appearances, and that’s his digital minimalism message. While that’s a pretty important concept, it actually isn’t the main message in Deep Work.
Towards a replicable future for geographic data science Levi John Wolf, Sergio J. Rey, & Taylor M. Oshan Over the next few days, I’ll be attending the Conceptualizing a Geospatial Software Institute Workshop at SESNYC. The original submission is here. In it, I detail how important it is to ensure that open source community is built along side open source software. Given the role open source plays in Open Science and the Open government initiative at the NSF, my collaborators and I felt it was critical to represent this perspective at the workshop.