9th Anniversary of Urban Demographics !

Today is the 9th Anniversary of Urban Demographics. I must say the blog has never been as quiet as in the past year. This is due to various reasons. I focused a lot of my time over the past year in finishing my PhD, getting back to work on project/paper collaborations that had been on hold for a long time and perhaps I spent too much time travelling. Sorry, family. Sorry, planet. Personally and professionally, though, it has been an incredible year. I've finally became a doctor (1st in the family, Mom was very proud), I received awards from the AAG and the ITF/OECD, got a few studies published, I've met a bunch of incredible people, and started a few new projects that I'm very excited about and which I'll be sharing here in due time.

Nowadays, I spend less time  procrastinating  working on the blog than on Twitter, which I find an increasingly rich source of dog pictures information and interaction with other researchers. In the end, the blog has been a bit quite but I still find it incredibly useful to share interesting studies, data, links etc. By the stats of the blog, I'm glad to see a few people still find it useful too. Here are just some quick stats that show a summary of the blog over the past year.

• 84 posts, an average of ~1.6 posts per week
• 20,948 visits, an average of ~57 visits per day (large drop from previous year)
• 9,175 followers on Twitter
• 3,188 likes/followers on Facebook
• 725 RSS feed subscribers

The 5 most popular posts:

1. Assorted R Packages for Spatial Analysis
2. 3D interactive map of population densities across the globe
3. Mapping the diversity of population ageing across Europe with a ternary colour scheme
4. Visualizing transport mode share using a ternary colour scheme
5. Travel time to closest healthcare facility in Rio de Janeiro

and 10 of my favorite posts:

1. The day I became a Doctor
2. PhD thesis officially available for download
3. The geography of Manhattan distorted by travel-times
4. Racial inequity in who pollutes and who gets exposed to pollution
5. Creating a simple world map of cities in R
6. A 195 gigapixel Urban Picture of Shanghai
7. The race for the largest city in the world over the past 500 years
8. Why you should probably share your preprints
9. How complete is OpenStreetMap data coverage?
10. Using GIFs to explain what various causal inference methods

Where do readers come from? (140 countries | 2,598 Cities)

1. United States (32.3%)
2. Brazil (13%)
3. United Kingdom (6.3%)
4. Australia (3.5%)
5. Canada (3.4%)

Code for this map available here