- Evolution of European Motorways 1920-2020
- Dataviz of spatial and temporal spread in networks
- paper: Open office architecture seems to decrease the volume of face-to-face employees' interaction and increase electronic interaction.
- Global Mapping of GDP at 1 km2 Using VIIRS Nighttime Satellite Imagery
- Microsoft releases 18M building footprints in Uganda and Tanzania to enable AI Assisted Mapping
- OpenRailwayMap, the open online map of the worldwide railroad infrastructure
- In 2019, Helsinki had 0 pedestrian or cyclist fatalities for the first time since 1960. How Lowering speeds and traffic calming.
Structured Procrastination on Cities, Transport Policy, Spatial Analysis, Demography, R
Showing posts with label History. Show all posts
Showing posts with label History. Show all posts
Sunday, February 23, 2020
Assorted Links
Marcadores:
Africa,
Assorted links,
database,
dataviz,
Health,
History,
rail,
satellite data
Friday, December 13, 2019
The mobility patterns of historically notable individuals
A new study using Natural Language Processing techniques to retrieve historical information from Wikipedia and analyze the spatial mobility patterns of historically notable individuals. A nice and inventive method to study historical mobility patterns. Science can be incredible and fun. (HT Marco De Nadai)
Lucchini, L., Tonelli, S. & Lepri, B. Following the footsteps of giants: modeling the mobility of historically notable individuals using Wikipedia. EPJ Data Sci. 8, 36 (2019) doi:10.1140/epjds/s13688-019-0215-7
image credit: Lucchini et al 2019
Marcadores:
Computational social science,
History
Friday, November 29, 2019
Awarded research on historical inequality in Brazil
I am very proud to share that my friend and colleague at Ipea Pedro Souza has been awarded the Prêmio Jabuti for his book 'A History of Inequality: the concentration of top incomes in Brazil between 1926-2013'. The Prêmio Jabuti (the "Tortoise Prize") is the most prestigious literary award in the country. The book is based on his PhD thesis, which has already received two national awards btw.
If you read Portuguese, you can buy Pedro's book here, or download his PhD thesis here. There is a paper in English summarizing some of the key findings of his research. I've also posted the English abstract of his thesis below.
Souza, Pedro H. G. F. de. “A desigualdade vista do topo : a concentração de renda entre os ricos no Brasil, 1926-2013”, 12 de setembro de 2016. https://repositorio.unb.br/handle/10482/22005.
This dissertation uses income tax tabulations to estimate top income shares over the long-run for Brazil. Between 1926 and 2013, the concentration of income at the top of the distribution combined stability and change, diverging from the European and American patterns in the 20th century. Contrary to benign industrialization and modernization theories, there was no overarching, long-term trend. Most of the time the income share of the top 1% of the adult population fluctuated within a 20%--25% range, even in recent years. Still, top income shares had temporary yet significant ups and downs which largely coincided with the country's most important political cycles. The top 1% income share increased during the Estado Novo and World War II, then declined in the early post-war years and even more so in the second half of the 1950s. The 1964 coup d'état reversed that trend and income inequality rose back to post-war levels after a few years of military rule. The 1970s were marked by instability, but top income shares surged again in the 1980s. The share of the 1% then decreased somewhat in the 1990s and perhaps the mid-2000s. There were no real changes since then. In addition, this dissertation analyzes the concentration of income among the rich, provides international comparisons of top income shares, and contrasts the income tax series with estimates from household surveys. The income tax series are also used to compute “corrected” Gini coefficients which take into account the underestimation of top incomes in household surveys. The major research questions are comparative and historically oriented, and I argue in favor of an institutional interpretation of the results. The motivation for and implications of this approach are presented in the more theoretical chapters that precede the empirical analysis. In these chapters, I engage with the history of ideas about inequality and social stratification and highlight the long and heterogeneous tradition of studies about the rich and the wealthy. My main argument is that the academic and political concern with distributional issues flourishes when inequality is conceived in binary or dichotomous terms.
Marcadores:
Brazil,
History,
Inequality,
Ipea,
Prata da Casa
Friday, October 11, 2019
How many people have ever lived on Earth?
Have a guess. I can only say I was wrong by a lot :) Now select this back box to see how close your guess was. 109 billion There is a nice article by PRB on this question and how one arrived at this estimate. HT Sergei Soares.
Marcadores:
History,
World Population
Monday, September 23, 2019
Coloring slavery history in Brazil
Marina Amaral (Twittter) is a renowned digital colorist. Marina has an incredible portfolio, coloring photographs of Marie Curie, Abraham Lincoln, Albert Einstein, tragic moments in the WWII and victims of Auschwitz concentration camp.
In her latest project, Marina is coloring portraits of black people (mostly slaves) taken in 1869 by Arthur Henschel in Brazil. Wonderful work.
credit: Marina Amaral
Tuesday, March 19, 2019
The race for the largest city in the world over the past 500 years
In previous posts, I've pointed out to an incredible open dataset with comprehensive population estimates of human settlements and cities for the past 6,000 years. The talented John Burn-Murdoch used some of these data to create this nice animation showing the changing ranks of the 10 largest cities in the world since 1500. The full code for the animation is available here.
New project:— John Burn-Murdoch (@jburnmurdoch) March 18, 2019
A “Bar Chart Race” animation showing the changing ranks of the 10 biggest cities in the world since 1500.
Fascinating to watch giant cities vanish after falling in conquests, and amazing that three UK cities were in the top 8 in the late 1800s. pic.twitter.com/KglMZbYobr
Marcadores:
Coding,
dataviz,
History,
Urbanization
Thursday, December 20, 2018
Assorted Links
- Paper: "exposure to socioeconomic inequality in an everyday setting negatively affects willingness to publicly support a redistributive economic policy" by Melissa Sands
- Peak Artificial Intelligence
- Interactive historic map of every UK railway line that's ever existed, via Tim Dunn
- Oxford DEMIG databases with unprecedented coverage of migration & migration policy data now available for free download, via Hein de Haas
- Using machine learning in R to predict Automobile Collision and Bike Share Demand and subsidy via Ken Steif
- Awful AI: a curated list to track current scary usages of AI - hoping to raise awareness, HT Will Geary
- The software used to create the black hole in the movie 'Interstellar' is a full implementation of Einstein's equations in 40,000 lines of C++, and rendered thousands of 23-megapixel IMAX frames on a 32,000-core render farm at about 20 core-hours per frame via John Arundel
- What to consider when choosing colors for data visualization, by Lisa Rost
Marcadores:
AI,
Assorted links,
database,
dataviz,
History,
Interactive dataviz,
Machine Learning,
Migration,
R
Monday, March 12, 2018
Tuesday, February 6, 2018
Assorted Links
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- Marriages have on average long lasting positive effects on well-being and life satisfaction HT Cesar Hidalgo
I cannot confirm nor deny -
- Sprawling Mayan 'cities' uncovered under Guatemala jungle using LIDAR data - "The study estimates that roughly 10 million people may have lived within the Maya Lowlands"
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- The World's 15 Most Complex Subway Maps and our cognitive limits: "Multimodal transportation systems in large cities have thus already exceeded human cognitive limits and, consequently, the traditional view of navigation in cities has to be revised substantially"
- The total seasonal snowfall in the continental US for 2017–Jan 2018, shown as a relief map. Beautiful dataviz by Garrett Dash Nelson

Marcadores:
Assorted links,
dataviz,
Family,
GIS,
History,
LIDAR,
Projections,
race,
Subways
Tuesday, December 26, 2017
Assorted Links
- paper: carpooling options from companies like Uber and Lyft could reduce the number of vehicles on the road by a factor of three without significantly impacting travel time
- Istanbul Urban Database: digitizing the historic urban archives of Istanbul , via @geog.an.mod
- "Bussed Out: How America moves its homeless"
- The effect of population age structure on innovation. In short, younger societies are more innovative. Via Tyler Cowen
- Loud orgies of Mexican fish could deafen dolphins, say scientists.
- Place matters: A longitudinal study estimating the influence of neighbourhood walkability on walking behaviour in across different life-stages via Ahmed el Geneidy
- The science myths that will not die. The `population bomb` myth is included in the list
- Carl Schmertmann pointed out on Twitter to a new open access book "Visualizing Mortality Dynamics in the Lexis Diagram". You might also like this really great interactive interface to explore how mortality patterns change over time and across countries , developed by Jonas Schöley
Marcadores:
Aging,
Assorted links,
database,
History,
Mortality,
sharing economy,
walkability
Saturday, December 9, 2017
Assorted Links
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- Alex Singleton, Seth Spielman and David Folch have a new book called Urban Analytics. The book looks really promising! I haven't had the chance to read it
need to work on my phd thesisand it is packed with GitHub resources that you can access here -
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- The transition from more than 6 to fewer than 3 children per woman took the UK almost a century. This change took 26 years to happen in Brazil, and only 11 years in China - Max Roser (ht Leo Monasterio)
Marcadores:
Assorted links,
big data,
cartography,
dataviz,
Fertility,
gender,
History,
race,
statistics
Tuesday, October 3, 2017
The long-term effect of slavery on inequality today
According to a new working paper, 1800s slavery explains approximately 20% of income inequality in Brazil today. While the direction of the impact is not surprising, I'm impressed by its magnitude. I wonder how much investment in cash transfer programs would be necessary to achieve an effect of similar magnitude. Thanks John B. Holbein for pointing to this study on Twitter.
Fujiwara, T., Laudares, H., & Caicedo, F. V. (2017). Tordesillas, Slavery and the Origins of Brazilian Inequality.
Fujiwara, T., Laudares, H., & Caicedo, F. V. (2017). Tordesillas, Slavery and the Origins of Brazilian Inequality.
From the abstract:
"...To deal with the endogeneity of slavery placing, we use a spatial Regression Discontinuity framework, exploiting the colonial boundaries between the Portuguese and Spanish empires in current day Brazil. We find that the number of slaves in 1872 is discontinuously higher in the Portuguese side of the border, consistent with this power’s comparative advantage in this trade. We then show how this differential slave rate has led to higher income inequality of 0.103 points (Gini coefficient), approximately 20% of average income inequality in Brazil. To further investigate the role of slavery on economic development, we use the division of the Portuguese colony into Donatary Captancies. We find that a 1% increase in slavery in 1872 leads to an increase in inequality of 0.112. Aside from the general effect on inequality, we find that more slave intensive areas have higher income and educational racial imbalances and worse public institutions today"
ps. This paper also reminds me of this post on how presidential elections are impacted by a 100 million year old coastline in the USA. Hint: geology determined the distribution of productive land, which influenced the spatial distribution of African slaves which in turn influenced the electoral distribution. I'm not saying I'm convinced by this argument but I have to recognize it uses a quite inventive identification strategy.
image credit: Fujiwara et al (2017)
Marcadores:
Brazil,
History,
Inequality,
race
Sunday, October 1, 2017
Our biggest cities have existed and died before
Ta-Prohm, Cambodia, used to be the largest population settlement before the industrial revolution. Nowadays it is one of the most impressive ruins in the world.
"In reality, our biggest cities have existed and died before. This one did. It just happens over a longer period of time - the rain falls, the roots grow and nature eats what we built. The best technology of that time wasn't enough." Geat video by Joe Posner (Vox)
Marcadores:
climate change,
History
Saturday, August 12, 2017
An R library to analyze and map John Snow's 1854 Cholera data
As many of you will know, an English physician called John Snow mapped the cholera outbreak in the Soho district of London in 1854. That map would later be a key element in the discovery that cholera was caused by contaminated water, not air. It's fair to say this map somehow changed history not only because of the lives it helped save, but perhaps more importantly because of the ways it opened human imagination to the role of spatial analysis in science and human development. Steven Johnson has written a book about the story of this map and its influence on modern science and cities. If you are short in time, there is a great 9-minute video summary of the book here.
All this introduction to say that now there is an R library that allows you to analyze and map John Snow's 1854 Cholera data yourself. Thanks Bob Rudis for calling attention to this library on twitter. Dani Arribas-Bel also pointed out to this chapter / online notebook that presents the documented code for a reproducible spatial analysis of John Snow’s map using mostly Python. This is great material for teaching.
update 16 Aug 2017: RJ Andrews has also pointed me to this paper analyzing the mortality rates and the space-time patterns of John Snow’s cholera epidemic map.
update 16 Aug 2017: RJ Andrews has also pointed me to this paper analyzing the mortality rates and the space-time patterns of John Snow’s cholera epidemic map.
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Sunday, August 6, 2017
Tuesday, June 20, 2017
Assorted links
- Personal details of ~200 million US citizens exposed. A 1.1 terabyte data set with names, home addresses, phone numbers, political views etc. This is approx. 2/3 of the american population. Probably the largest data leak in history
thus far - New panel study with more than 260 K participants in the UK shows Biking to work is linked to lower risk of heart disease, cancer, and early death via Leo Monasterio
- An alternative to lat long coordinates: A global addressing system, based on 57 trillion 3mx3m squares, each addressed with 3 simple words
- I've recently found out that the principal scientist at Amazon‘s Modeling and Optimization team is Renato Werneck, a Brazilian researcher who is also one of the authors of Raptor, the Round-Based Public Transit Routing algorithm
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- In the USA, both Democrats and Republicans agree there is a lot of discrimination against certain social groups. They just disagree which groups are discriminated against
- Health Effects of Overweight and Obesity in 195 Countries over 25 Years. Since 1980, obesity rates doubled in more than 70 countries and continuously increased in other countries
Prevalence of Obesity at the Global Level, According to Sociodemographic Index (SDI)
[click on the image to enlarge it]
Marcadores:
active transport,
Assorted links,
GIS,
Health,
History
Wednesday, May 17, 2017
Assorted Links
- Isoscope: work by Flavio Gortana (Twitter), showing how isochrones by car vary across space and time
- Tutorial: Spatial Datasets and Urban Applications (code, slides + data)
- Beautiful photographs of Forgotten Places, via Darran Anderson
- Five tools that help you master map projections
- The unfinished cities of Spain via Urban Living Lab
- 15 years of urban growth in China, via Lazaro Gamio
- Surnames and ancestry in Brazil, by Leo Monasterio
- "Seeing Theory – A visual introduction to probability and statistics.”
- paper: Combining satellite imagery and machine learning to predict poverty, by Neal Jean et al [code]
Marcadores:
Assorted links,
cartography,
GIS,
History,
Machine Learning,
satellite data,
statistics,
travel time,
Urban Evolution
Monday, April 17, 2017
Assorted Links
- A rank of North American Urban Planning Scholars Using Google Scholar Citation Profiles, by Tom Sanchez (twitter)
- On a similar note, an interesting commentary on the power of the unrelenting impact factor of academic journals and some interesting arguments to why the impact factor of journals should not be used for evaluating research
- Isoscope: nice work by Flavio Gortana (twitter), showing how isochrones by car vary across space and time
- How One Brilliant Woman Mapped the Ocean Floor’s Secrets via Sabrina Lai
- Possibly the greatest scene in documentary history via David Levinson (twitter)
- Bill Rankin's new work on Mapping Slavery Against US Incarceration
- A 15-min video giving an interesting summary of the largest US health insurance experiment in history - ht Carl Schmertmann
- Beautiful data visualization of music, by Nicholas Rougeux
- The Vertical City: The Price of Land and the Height of Buildings in Chicago 1870-2010, by Gabriel M. Ahlfeldt (twitter)
Marcadores:
Academic writing,
Assorted links,
cartography,
dataviz,
History,
Housing,
race,
Video
Sunday, March 26, 2017
Assorted Links
- Uber suspends testing of self-driving cars after crash last frieday. Uber's SUV had the right of way and bears no blame
- Dr. Mae C. Jemison was the 1st African American woman to travel in space, in 1992.
- Harvey Miller's entry on Time geography andspace–time prism for the new International Encyclopedia of Geography. Harvey is also on Twitter
- paper: Network theory may explain the vulnerability of medieval human settlements to the Black Death pandemic
- Chronological map of Edinburgh showing expansion of the City from earliest days via Phil Taylor
- 15% of the entire housing stock of Florence historic centre is on AirBnB. David Wachsmuth also has a coming paper analyzing Airbnb’s impact on housing and gentrification in New York
- Where workers will be needed in the Asia, and where they could come from
- In 1900, W.E.B. Du Bois created these beautiful data visualizations for the Paris Exposition Universelle to show the economic and social progress of African Americans since emancipation (via Michal Migurski)
credit: W.E.B. Du Bois
Marcadores:
Assorted links,
autonomous vehicles,
cartography,
History,
Migration,
Network,
space-time,
Uber
Friday, December 23, 2016
A history of global living conditions: a big picture of human development in 6 charts
It is hard not to be a pessimist these days. As 2016 comes to an end, it leaves us with that bitter feeling of "WTF world!". In gloomy days like these, having a long term perspective on human development can help us alleviate this feeling.
The image below brings 6 charts that give a historical perspective on human development (detailed and interactive charts here). They show the big picture of some of the remarkable improvements we have seen in the world in the last 200 years, with less poverty and tyranny and with more education and better health conditions.
This image comes from Our World in Data (OWID), a fantastic online publication that shows how living conditions are changing in the world with the best available on wide range of topics including health, food, energy, institutions, culture, education, technology, war and peace, etc. I am proud that OWID is produced at the University of Oxford. It was created by Max Roser, Esteban Ortiz Ospina and Jaiden Mispy.
The OWID website is a great source of information, particularly if you're feeling too pessimistic about the world or if you feel like procrastinating a bit, like me
"One reason why we do not see progress is that we are unaware of how bad the past was." (Roser et al, OWID)
Marcadores:
History
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