Digital works, infofails

#Infofails: Chapter 05, gold rush

I just realised that last time I did one of this chapters was last year, woow. My original idea was for me to publish one of these every three or four weeks … but reality has slapped me in the face: I don’t have time enough between projects.

Anyway, let’s talk about fails then.

That image at the top of this post is a QGIS render of the Amazon Basin made with data from Hydrosheds. It is part of the geographic data from my latest project on Reuters. But you may have never saw that thing anywhere in the project, unless not like that.

The Amazon Gold Project have a mix of styles including 3D, traditional sketching, vector works…

The 3D stage

I did some early versions of the maps using layers rendered in QGIS, a layer for terrain, base colour areas, borders, rivers etc. Then I re-pack all in Cinema 4D to create some side illumination.

Cycles C4D
Terrain layer test imported from QGIS, then rendered alone in C4D / Cycles

The idea was to try some alternative maps, at the end some illustrator labels and the dummy look something like this:

Map dummy with false text annotations

The 3D above was just a quick exercise while I was looking for styles. A bunch of images later, the things turned into flat images

And then to flat vector, probably taking out stuff from the map from crowded to cleaner to whatever…

Maybe I went too far because I really like how this was looking in outlines preview… someone should stop me at that time!

And it happened, in the end I went on to make other pieces putting pieces together on the page, bits of code, illustrations, etc.

If you already saw this project, you know that it has some illustrations, pieces that explain how illegal miners extract gold and contaminate rivers and destroy forests in the process.

Meanwhile I was also processing some satellite images, adding labels and looking for evidence of the miners from the space, then I saw some websites talking about the situation in Peru, so I look up the area in Sentinel and wooow!

I stumbled upon this place near the Peru-Brazil-Bolivia, border. Kilometres and Kilometres of devastation by the gold miners, a strip of more than 30km into the forest and actually I saw it for first time in false color, in near infrared, so the image was shocking to me.

Madre de Dios mining pits. Sentinel Hub, false color, near infrared.
Madre de Dios mining pit. Sentinel Hub, false color, near infrared.

Later we move to true color, trying to match the other satellite images that we had chosen earlier for this project, but still you have the feeling of the immensity of the destruction of these sites. I think that images have an immense power to present the damage dimension

5-6 km long section of mining pits at Madre de Dios. (Sentinel Hub, True color)
Sentinel Hub, true color.
Sentinel Hub, true color.

So, I’ll say, fails in here, YES, well I spend a lot of time looking for alternative styles, experimentation is nice I collected a lot of information, but maybe I went too far styling place holders… Anyway I enjoy a lot this project, but and I’m more than happy that is already over.

About #infofails post series:
I keep my beta graphics, those that never go public… Maybe they are tons of versions of a graphic or just a few concepts, part of my creative process. So, where all those things go? well, ends-up in #infofails –a collection of my fails at work.

Did you like #infofails?
Have a look to other #infofails Chapters here:

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blogging, Digital works, infofails

The last chapter of #infofails… [of 2019]

About #infofails post series: I have a lot of beta graphics that never go public, it can be tons of versions of a graphic or just a few concepts as part of my creative process. So, where all those things go? well, ends-up in #infofails –a collection of my fails at work.

This 2019 is almost gone, big media is doing their “year in graphics” collections, meanwhile I’m in the rush hour trying to fit one more graphic in this year. I’m looking back trough this year, and it has been a crazy one; many unexpected things and lots of changes for me. That’s the case of this project I want to share with you, is one of those unexpected results, or un-result to be accurate.

himalayas

Death rates at the Himalayas peaks

The Mount Everest project (screengrab above) started as a great opportunity for a data narrative, the story behind was the bloom in the climbers amount, many times resulting deathly for them; the whole team was doing pieces to get this story online, if you didn’t saw it, here’s the final result of the project: CLICK HERE. Have a look first, then come back to this story for a better context.

 

 

The fail story

My fails begun when I was trying to get an accurate model of the mountain, I first tried doing some elevation curves map, like the one on top of this entry. The main problem here was to get a good resolution, I was taking as base a 90m DEM produced by NASA, the files are great and works most of the times, but not to the level of detail I was looking for.

himalayas.jpg

90m DEM by SRTM/NASA. This was the starting point.

 

This thing works for a general overview of the whole mountain system of the Himalayas. To me, it was look in a good shape. By exaggerating the elevation, the idea was to add a color range or some other texture to visualize the heights, so then point out the mountains other than the Everest were the climbers usually go.

elevation profile.jpg

Version #1 Himalayas peaks

You maybe noticed that usually I do 1-5 versions of the images to try different ideas, in this case, I didn’t went any further because in the middle of the production some other projects came in. Fortunately my teammates got some other ideas, they took the project from this stage forward. I just jumped in again at the end to collaborate with the finishing touches and adjustments, so I can’t take any credit.

But going back to my fails, I did a few more pieces before the no return point in this project, one of them, a preview of the contours growing-up:

elevation.gif

Everest and surroundings, model based in 90m data by SRTM/NASA.

Also I try some more realistic look using a 30M DEM from the Shuttle Radar Topography Mission. That one was looking better, but I was already out of time:

crop06_0090.jpg

C4D textured model based on 30m DEM data by SRTM/NASA

basic_gshade.pn

Basic shading. C4D model based in 30m DEM by SRTM/NASA

wiref_01

Color ramp by height, Himalayas system. C4D model based in 30m DEM by SRTM/NASA

wiref_04

Mount Everest close-up. C4D model based in 30m DEM by SRTM/NASA

There was also an other idea to show in this graphic. I was thinking that maybe will be nice to show the equipment that modern climbers uses today in comparison with the equipment of explorers from 60 yeas ago when the mountains were the final frontiers of the unknown. Is incredible that teams went there with heavy and basic equipment and yet make it to the mountain (with great help from the Sherpas of course).

50s_sketch.jpg

Climbers equipment detail. Based in documentation of the British expedition of 1950.

Not sure if this graphic of comparisons will be published or not, so I’ll upload just a tiny little part without information or details, but who knows, you maybe see it next year either at Reuters website, or here as another of my fails for your entertainment haha.

It has been a pleasure to have your comments and readings this year, I hope we will read each other soon.

Happy holidays!

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Did you like #infofails?
Have a look to other #infofails Chapters here:

–Chapter One
–Chapter Two
–Chapter Three 

Stay tuned for the next chapter in 2020! 🥳

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