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Asjad Naqvi Profile picture
@AsjadNaqvi
Oct 28, 2022 • 13 tweets • 12 min read • Read on X
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Half through sorting the #dataviz bookmarks and still haven't found the links I am looking for (the curse of over bookmarking).

But here are 10+1 super amazing, interactive, and midn-blowing🤯 #environment, #climate, #trade, #emissions related websites that are just 🤩

👇👇
1/ The #WorldBank's #SDG atlas covers each #SDG goal in detail with some great datavizzes inside each of them. Check it out! Really a lot of effort went into this.

datatopics.worldbank.org/sdgatlas/
2/ @ChathamHouse brings an interactive resource website that allows you to explore bi-lateral #trade linkages. Data currently ranges from 2000-2020.

resourcetrade.earth
3/ Of course discussing trade and interaction won't be complete without the Observatory of Economic Complexity (@OECtoday):

oec.world

I have been a huge fan of this project since its inception. Even have the treemaps in an early hardcopy version of the data.
4/ The #UN #BiodiversityLab has produced this great interative website where you can display various remote sensing layers. Biodiversity has now also become a key topic in climate econ.

map.unbiodiversitylab.org/earth
5/ The @Microsoft #PlanetaryComputer is an awesome project that provides processed satellite data:
planetarycomputer.microsoft.com

Related is also the Climate Impact Lab (@impact_lab)
impactlab.org

that has further indicators using downscaled #CMIP6 scenarios 🤩
6/ The GRACED carbon monitor website is just beautiful infographics on near realtime daily CO2 emissions.

carbonmonitor-graced.com
7/ The @esa has several interactive websites but this one is one my fav ones with near realtime display of recent #GHG concentrations:

maps.s5p-pal.com/no2/

You can click on the tabs above to change the emissions.
8/ The @HarvardGrwthLab has put together this amazing #Metroverse website that explores urban development, product composition, and technologies, and future pathways. Pick a city and start exploring!

metroverse.cid.harvard.edu
9/ Where are all the coal power plants operating? This interactive map by @CarbonBrief is a visual treat!

carbonbrief.org/mapped-worlds-…
10/ Speaking of coal, want to see how much of the #emissions revolve around #airports?

Check this website out!
airporttracker.org

Click on an airport and see the breakdown by different flight types. E.g. JFK emissions = 3 coal power plants.
11/ A special mention to this great website, the Migration Trail (@migrationtrail)
migrationtrail.com

It's a story-telling website, which traces the journey of two fictional refugees David and Sarah, from Africa to Europe, completely annotated with their lived experiences.
And that's it! Back to sorting. There are of course a lot more websites, but these ones were selected for their interactivity and not so much on the getting the data part. For that one needs a separate thread 🙂

/END

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More from @AsjadNaqvi

Asjad Naqvi Profile picture
Sep 13, 2023
#Stata v18 has added a bunch of new features to control colors in the past updates. Let's start with an example data:

set scheme stcolor
sysuse census.dta, clear
gen under5 = (poplt5 / pop) * 100

twoway (scatter under5 medage, msize(2))

The scheme layout has minor tweaks: Image
A new feature of v18 is to color by groups using a single line:

twoway (scatter under5 medage, msize(2) colorvar(region) colordiscrete)

This is amazing but 2 issues; discrete variables should have a regular legend. The line legend is confusing. The hues are not readable. Image
More options have been added to define start and end colors

twoway (scatter under5 medage, msize(2) colorvar(region) colordiscrete colorstart(red) colorend(eltblue))

But still we end up with hues where categories 3 and 4 are not discernible. Image
Read 9 tweets
Asjad Naqvi Profile picture
Oct 31, 2022
The #30DayMapChallenge 2022 starts tomorrow. In the last 2 years a lot of work has been put in @Stata to mainstream some of the map elements we find in other softwares. He is a 🧵 on the different types of maps one can make. If you want the code for any, just msg! Let's go 👇
The basic #spmap package can already do a lot! Here are some examples using standard spmap syntax.

These were made for the online #GIS tutorials earlier this year that were fairly well attended! Over 1400+ registrations and 500+ ppl online. Might repeat it again. ImageImageImageImage
The #bimap package that actually was the result of the #30DayMapChallenge last year allows you to combine two variables to check for interesting spatial correlations.

Install from SSC (ssc install bimap, replace)

See GitHub for further instructions
github.com/asjadnaqvi/sta… ImageImageImageImage
Read 11 tweets
Asjad Naqvi Profile picture
Oct 15, 2022
A late night 🧵 on some tips for making grayscale (BW) & colorblind (cblind) friendly graphs in @Stata. BW in case people print out papers, and cblind to make sure documents are "barrier free".

Graphs have 3 elements that we can control: colors, line patterns, & symbols.

1/
Let's start with colors: Whatever color scheme we use, we can check whether it will pass the BW and cblind tests. This can be easily tested using the palettes package. Install these, if you haven't already:

ssc install palettes, replace
ssc install colrspace, replace

2/
There are three types of common color-blindnesses that can we can check in #Stata: "Protanopia" & "Deuteranopia" where shades of red and green are not discernable, & "Tritanopia" where blue-green, purple-red, yellow-pink are hard to differentiate.

Test yourself 👇👇

3/ Image
Read 13 tweets
Asjad Naqvi Profile picture
Oct 11, 2022
The ultimate clustering standard errors paper just dropped:

When Should You Adjust Standard Errors for Clustering?

by some big names in the field :)

academic.oup.com/qje/advance-ar…
Here is a quick paper pass: The authors discuss 3 misconceptions:

1) clustering is needed when smaller units are correlated with larger units (its not!)

2) just do clustering for the sake of robustness (dont!)

3) researchers use either cluster SEs OR robust SEs (use both!)
The authors provide a discussion and recommendations on:

1) clustering strategy in the design process (e.g. sampling, DGP etc.)

2) clustering strategy in the assignment process (e.g. clustering of treatments etc.)

Second can also help understand the data better.
Read 5 tweets
Asjad Naqvi Profile picture
Sep 14, 2022
A 🧵 to consolidate the #Statatip posts from the past three years! Bookmark these.

If you want to read them in detail, have a look at the Awesome @Stata tips collection:

medium.com/the-stata-guid…

Its updated every 2-3 months or so. Many tips below 👇
Using value labels as variable names

#statatip

Using variable labels as names

#statatip

Read 38 tweets
Asjad Naqvi Profile picture
Sep 9, 2022
A 🧵 to keep track of my @Stata #dataviz packages 👇

1) 𝘀𝗰𝗵𝗲𝗺𝗲𝗽𝗮𝗰𝗸: Has a large collection of ready-to-use #Stata #schemes.

Two I personally use all the time are white_tableau (clean white) and neon (black background).

github.com/asjadnaqvi/Sta…
2) 𝗷𝗼𝘆𝗽𝗹𝗼𝘁: A #Stata package for classic #ridgeline plots

github.com/asjadnaqvi/sta…
3) 𝘀𝘁𝗿𝗲𝗮𝗺𝗽𝗹𝗼𝘁: A #Stata package for centered area graphs

github.com/asjadnaqvi/sta…
Read 11 tweets

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