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Allen Coral Atlas

As a child, I adored the National Geographic magazines.  I collected them for long enough to fill a bookshelf, and I think it’s fair to say that they had a pretty big influence on how I’ve ended up making a living.  So it was particularly satisfying to see a project I’ve been involved with since the summer get a writeup in National Geographic:

Inside the daring plan to map every coral reef from space

It’s a wonderfully ambitious project—using imagery that wasn’t available 5 years ago—and terrifyingly urgent.  Coral reefs are particularly sensitive to the impacts of climate change and ocean acidification, and massively important as both habitat and shoreline protection.  We have very little time to left to figure out ways to make them more resilient, or lose a major source of protein and watch storms do more and more damage as the reefs’ protection is lost.

The project also lost two of its champions this year: Paul Allen and Ruth Gates.  I wish I had had the chance to get to know Dr. Gates.  Among other things, she set a great example of how to engage with work this sad and frightening and never be crushed by the weight of it.  The project continues, and feels like a fitting memorial to both.

My role is to integrate the processed data we get from two different research groups: one infers depth from the satellite imagery, and the other classifies areas of reef by types of sea floor and what’s growing on them.  I write automation that turns the depth data into false-colour imagery, and prepares everything to be displayed in the web map. Here’s a screenshot of that depth imagery:

Bathymetry around Karimun Jawa, Indonesia

So far we just have a single snapshot in time of 6 reefs, but the real challenge will be scaling that to all the reefs in the world, updated regularly.  You can explore it yourself and read about the methods and partnership at http://allencoralatlas.org/ .

Because it’s a limited preview so far and most areas aren’t covered yet, panning and zooming around the globe isn’t very satisfying.  I recommend clicking on the place names in the “Mapped Areas” list to see where we actually have data.  And for a first look I prefer to turn all of the data layers off, zoom to a location, and then turn them back on one at a time starting from the bottom of the list.

Texas education funding map

I got to collaborate with COREGIS again this year, on a couple of maps for a Texas education advocacy group.  The first was an internal tool for their staff use only, but the second was public facing and is now available:

A map of Texas school districts, with colour indicating how much a proposed funding change would affect them, and dots showing the location of charter schools

I am often a bit skeptical—perhaps more than you might expect from a GIS consultant—of the value of displaying information on a map rather than a chart or a table.  Sometimes clients ask for maps simply because they look good, without thinking about whether geography is a useful dimension for the questions we want to answer.  These two were interesting cases because geography is relevant, but not for the most obvious reasons, and this influenced their design:

  • The internal tool is for lobbyists to show to state politicians, so the design is very focussed on zooming to individual districts and showing how they compare to others.  In the big picture that’s not exactly the ideal way for politicians to make choices, but we all know that they do it, so it’s realistic for an advocacy group to appeal to this bias.
  • The public map is a way of showing just how big a public funding advantage charter schools have over public schools.  The message would have been lost in a chart or table, because the same unlevel playing field benefits rural school districts (which don’t generally have charter schools nearby) over urban ones.  Putting the map together helps us to compare like with like.  I don’t know anywhere near enough about Texas education politics to know if either bias is deliberate, but assigning blame is outside the scope of a map anyway.  It’s enough that it shows the effect of a policy.

My comments on the proposed addition of a citizenship question to the US Census

I’m sorry to leave this till the last minute, but there are just over 24 hours left to make public comments on an important mistake that the US Census Bureau is set on making. The Bureau has proposed, over the objections of many of its own staff, to add a question about citizenship to the 2020 survey. This is a terrible idea which is almost certain to cause immigrants to be undercounted because of fear, especially in the context of the vicious hostility the US has been displaying against immigrants over the past couple of years. Even if that were an unintended consequence, it would be reason enough to oppose this change, but there is also strong reason to believe it’s being done in bad faith. Meanwhile, the 2020 Census was already in danger from good old fashioned neglect, underfunding and incompetence, problems that will only be compounded by adding a question that discourages responses.

As someone who uses Census statistics regularly in my work, I am concerned that if this is allowed to go through it will leave us unable to rely on the 2020 count as the accurate snapshot we depend on it being. As a citizen and resident of this country, I am afraid that what we’re seeing is a deliberate attempt to skew future elections and federal government resource allocations by systematically undercounting the population of areas with more immigrants.

If you read this in time, please make a public comment.  It doesn’t have to be a long reasoned argument—even just saying “please don’t add the citizenship question” may be worth something—but here’s what I wrote, trying to put it in terms that the Census Bureau is officially supposed to care about, in case it helps you to write yours: Continue reading “My comments on the proposed addition of a citizenship question to the US Census”

“A Renewable America”

A map I made just went live at arenewableamerica.org .

This was a relatively small project, but there are two things I’m particularly happy with. One is that it’s the first time I’ve hand-drawn boundaries with enough detail to actually publish – all the convoluted parts of the Grid Campaign layer that don’t correspond to state lines are hand drawn from a reference map:

A map showing the very convoluted shapes of 3 of the US's "Regional Transmission Organizations"

The other is that it’s the first time in years I’ve been able to work on promoting renewable energy. After leaving a PhD program, my first work outside academia was an internship for a local renewable energy nonprofit, but since then I hadn’t found a way to contribute to this field until this little project showed up.  It feels good to circle back to a cause I’ve never stopped caring about.

Housing: short vs long views

If you know contemporary Seattle, you probably know that we have a housing crisis. If you know me at all, you’ve probably heard about how I grew up in London and most of my school friends can’t afford to live anywhere in London, which terrifies me about Seattle’s future. So it should be no surprise that housing affordability is a huge issue in local politics, and one that I pay a lot of attention to. Equally unsurprising: even among people who agree that we have a problem and it’s important, there’s wide disagreement about what to do, and these disagreements often get very bitter.

Against that background it was a relief this evening when a panel discussion about the housing crisis managed not to bring out any of that vitriol, and stayed a respectful, interesting airing of differing views. At the risk of caricaturing the panelists’ views a little, I would summarise them as:

  • Hodan Hassan of Got Green, making a strong and convincing moral case against displacement and for paying particular attention to the displacement of minorities, and opposing market solutions because capitalism and land ownership are themselves the problem.
  • Zach Lubarsky of Seattle Tech 4 Housing [full disclosure: I’ve done a tiny bit of volunteer work for this org], arguing that the market has to be used in solving this problem, and the reason it hasn’t worked so far is restrictive zoning getting in the way.
  • Laura Loe, who did an outstanding job of threading the needle between these two positions, which is what I really want to talk about.

Continue reading “Housing: short vs long views”

“Mapas interactivos para el análisis de la inclusión financiera en México”

One of the pleasures of working on FINclusionLab has been getting my work translated into the languages of most of the countries we cover: French, Spanish, and Turkish. By happy coincidence these are also most of the languages that I either speak or am making a serious effort to learn. I am not fluent enough in any of them to do the translating myself, but I can at least understand the translations that I’m applying, and read domestic press coverage when it comes out. It’s not always easy to get key stakeholders to actually use the tools we’re making for them, so it was particularly nice to see Mexico’s national bank trumpeting the release of the financial inclusion dashboards we made:

La CNBV presentó los mapas interactivos para el análisis de la inclusión financiera en México

[Google’s translation is not bad, albeit even wordier than an already government-speak heavy press release]

A screenshot of the Mexico dashboard showing a map and chart about the spread of correspondent banking state-by-state

What if the Nation State is the problem?

I was recently party to a discussion about a code of conduct for an internet community, in which we found ourselves trying to delineate the difference between welcome and unwelcome forms of nationalism. The moderator found a better way to work around that, but the question got me thinking. I am generally anti-nationalist, but there are forms of nationalism that I do tend to sympathise with, and it’s worth trying to clarify why. To start making sense of implicit demarcations like this, I find it helpful to start with a list of opposites in my own feelings: Continue reading “What if the Nation State is the problem?”

You’re not imagining it – 2017 was an unhappy year in the US

9 years ago, I was part of a small team that founded what is now Happiness Alliance. Our goal was to get happiness taken seriously as the primary objective of public policy, instead of the status quo in which governments maximise economic indicators without questioning whether they are even good metrics of the economy, never mind why we prioritise the economy above everything else in life. This is not a new idea; in fact I still think Bobby Kennedy said it best in 1968:

…Our Gross National Product, now, is over $800 billion dollars a year, but that Gross National Product – if we judge the United States of America by that – that Gross National Product counts air pollution and cigarette advertising, and ambulances to clear our highways of carnage.  It counts special locks for our doors and the jails for the people who break them.  It counts the destruction of the redwood and the loss of our natural wonder in chaotic sprawl.  It counts napalm and counts nuclear warheads and armored cars for the police to fight the riots in our cities.  It counts Whitman’s rifle and Speck’s knife, and the television programs which glorify violence in order to sell toys to our children.  Yet the gross national product does not allow for the health of our children, the quality of their education or the joy of their play.  It does not include the beauty of our poetry or the strength of our marriages, the intelligence of our public debate or the integrity of our public officials.  It measures neither our wit nor our courage, neither our wisdom nor our learning, neither our compassion nor our devotion to our country, it measures everything in short, except that which makes life worthwhile….

And yet, four decades later we still encountered endless skepticism about the whole idea. Those who accepted the premise kept telling us that it was futile because public policy interventions never make a measurable difference to happiness anyway.

Sadly, recent work by the Happiness Alliance (I am no longer involved, but cheer them on from the sidelines) has proven the skeptics wrong in the most negative way possible. We can now clearly see that the grinding awfulness of 2017 was not just in my head or my social circle, but has added up to a measurable decrease in self-reported happiness:

There are a couple of important caveats to understand here:

  • This is a “convenience sample”, meaning it has not been weighted to be fully representative of the population –but there’s no reason to expect that 2017’s sample will have new or different biases, having been recruited in the same ways as previous years’.
  • We don’t know where every survey taker was, so it’s impossible to compare US-based respondents with those elsewhere –but we do know that the vast majority of respondents are in the US.

It’s not a huge effect size—only 5-6%—but it is highly statistically significant, and when I remember all the people saying we’d never see any changes at all I can’t help but be impressed. And glad that this thing I helped start has had the staying power to be able to look at trends over years.

Mark Twain’s “Map of the Fortifications of Paris”

It seems that totally unhelpful news graphics are not exactly a new problem. Here is Mark Twain’s take on them, during the Franco-Prussian War of 1870:

TO THE READER.

The accompanying map explains itself.

The idea of this map is not original with me, but is borrowed from the “Tribune” and the other great metropolitan journals.

I claim no other merit for this production (if I may so call it) than that it is accurate. The main blemish of the city-paper maps of which it is an imitation, is, that in them more attention seems paid to artistic picturesqueness than geographical reliability. …[read more]

Original image courtesy of Mapping As A Process, which published a deep dive on all the different variants which have been published, their history and reception.

“Deciphering the Data Deluge”

My biggest project for the past few years has been an ongoing series of workbooks about access to financial services in Africa, Asia & Latin America. I do this work as a subcontractor to an NGO called MIX, whose CEO recently gave an interview concisely explaining why we do this work and what it’s useful for. This paragraph gets to the heart of it:

FINclusion Lab creates single datasets and databases where previously siloes existed. For example, the data – which primarily includes access point location and demand-side data like population density, cellular coverage, poverty rates and the like – is usually found in project documents (PDFs), or separate online locations managed by regulators, or even individual Excel files from financial institutions. Bringing it all together in one place allows users – often regulators, financial institutions or others – to conduct analyses across different types of data including service points (geo-coded data), credit/deposit usage and demographics. It also allows users to visualize the data across geographies and drill down to more specific locales. Because we publish this data in a highly interactive format, users can explore the data based on their specific questions or interests. For example, a user can explore a particular district or type of financial service provider, or pick a reference period to view trends.

I’ve also been working behind the scenes on the infrastructure we use to conduct and share analyses, simplifying the toolchain and making updates & translations easier to apply. This included rebuilding a venerable Tableau template from the ground up, and here’s the first country workbook we’ve published in the new template:

MIX Zambia country workbook