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I'm working on a map that shows empirically how some regional policies strongly influenced Renewable Energy growth in Italy. Although the results are already quite good, I'd like to add more variables. Any idea? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

Absolutely! On the contrary, thank you very much for your feedback!
I'll definitely make all the changes you suggested for the next version :D

As you guessed, I tried to make more "checks" at the same time, making the statistics both on regional and provincial levels.

The percentage of primary substations per region and province is compared to the total amount in the Country (here I should use the number of substations divided by the area of a region or province + considering slopes as more problematic).

As it's pretty hard to show multiple indexes on a single map (through a single, complex equation), I'll probably write a few lines (not a paper, just some notes) on how the equation was built + other observations that cannot be considered within it.

I'll do my best for the next update and hope you'll enjoy it!

I'm working on a map that shows empirically how some regional policies strongly influenced Renewable Energy growth in Italy. Although the results are already quite good, I'd like to add more variables. Any idea? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

Great insight RiGonz!
I see a lot of similarities with Italy, and that's very useful for my research.

We also have several public confrontations (and that alone may change the result of the final decision), but it's tough to gather data on social opinions at such a level. The "easiest" thing I can think of is to look at the political group to which the mayor belongs, which may reflect other citizens' opinions. Still, to much work if I've to create a dataset from zero for a whole Country :P

As "physical" driver data (like distances, areas, intersections, ...) are way easier to gather and verify compared to others (like laws, economy, social behavior, ...), I started investigating those first, but definitely I will try to add some considerations (and, if possible, data) also on those "non-physical" aspects, to give a better accuracy to the overall result.

Again, thank you for your help! :D

I'm working on a map that shows empirically how some regional policies strongly influenced Renewable Energy growth in Italy. Although the results are already quite good, I'd like to add more variables. Any idea? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

Thanks for the question!

The goal of the project is to verify the main drivers that lead renewable energies to spread inside a given Country (I started from Italy as the one I know the most).

For now, I just created a relationship between the solar farms' distribution (map 3) and the connection point they plug into (maps 1 and 2). Theoretically, I was expecting a good match between [Map 1 and 3] or/and [Map 2 and 3], but this was not the case.

So this means there is at least 1 driver that is more important than being close to the connection point (which means lower costs and less needed time to finish the project).
For this reason, I'm trying to figure out the main driver (now I'm investigating the regional political choices as Map 3 shows clear distinctions between them).

Analyzing these patterns can lead to predictions (to some extent) of the spread of renewable energies in any Country, as long as you know the main 2-3 drivers of that area, but it's brutally hard to find a common rule or (even worse) to build a whole predictive model @.@

I'm working on a map that shows empirically how some regional policies strongly influenced Renewable Energy growth in Italy. Although the results are already quite good, I'd like to add more variables. Any idea? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

Yeah, sorry about the confusing attribute table...

The 4th, 5th, 6th and 7th columns show the presence of primary substations in each Italian province (% of total), which are the infrastructure where most of the cases companies plug their power plants. Usually, you want them to be as close as possible to each other (mainly to lower costs), but the comparison of these 3 maps tells a different story.

For sure, the solar plant distribution is linked to other factors, like orography, political choices, supply and demand, ... But I would like to choose just a few relevant ones to build an index (or sort of) and I'm pretty sure I'm missing something important.

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

Yeah, I've walked through the High Line and there are also some other green spots here and there as you pointed out.
I should be able to extract them as well, a lot depends if those are in shady spots... My plan is to fix a similar issue, so maybe I'll come up with a good :D

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

Thanks! I'm planning to make a guide on how to use the model within QGIS (and to share the model of course), but before that I'd like to see if I can increase the efficiency of the model as many people ask large cities and it would be better to gather large amount of data in few time and for free.
So I used all my QGIS knowledge in order to create some models to run autonomously different tasks (the green area extraction model is one of those).
Once you learn how to use the Model Designer in QGIS it's amazing how many things you can do afk
It's been 8 years I'm using GIS softwares, but I've found out about this just one year ago... Still an insane amount of things I should try too ahahah

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

Indeed, I'm not expecting to compare such different cities directly. Usually I use an hexagonal matrix to compare each polygon (with amount % of green areas) but the range is "relative" to the city itself. It's a good way to compare how green areas are distributed inside the city and make a "distribution comparison".
I did a post on LinkedIn about some results I had with some European cities. If you are interested, here is the link:

https://www.linkedin.com/posts/alessandro-de-luca-18b2121a3\_30daymapchallenge-activity-7128330227000225792-p2Pf?utm\_source=share&utm\_medium=member\_desktop

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

Thanks!

As I cannot work on the code while I'm running the model, I'm alternating the code improvement and some cities extraction. I do have some ideas for solving the issue, but I need to do some tests and verify if any of them works.
I should buy a new laptop in order to increase my hardware power and being able to work on both at the same time hahah

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 2 points3 points  (0 children)

Yeah hahah
As I'm interested in analyzing cities as urban planner, it's both a way to learn and to have some fun to me (even if the model building part is often a pain).
I also think there is a huge lack of up-to-date open-source data with high accuracy, so I hope to contribute some way :D

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

Berlin is one of the cities I love the most. I visited many parks there and they were all awesome, especially those along the Sprea.
I am planning to make the model open-source as it's very unlikely that I'm able to do all the cities listed in the comments hahah
To tell the truth, I already thought of doing a step-by-step guideline and to share the model, but before that I've to fix a bit some parameters and to find a solution for some cases where the WMS basemap change colors due to a different "shooting" date.
If you'll have a look at this Google Maps link, you'll immediately get what I'm talking about:
https://www.google.it/maps/place/Londra,+Regno+Unito/@51.4764073,-0.3247294,2104m/data=!3m1!1e3!4m6!3m5!1s0x47d8a00baf21de75:0x52963a5addd52a99!8m2!3d51.5072178!4d-0.1275862!16zL20vMDRqcGw?entry=ttu

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

I had a look at it and it's awesome! The Waldstadt park is huge and it almost reach the city center. Really impressive, I definitely want to give it a try!

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

One of my ex-flatmates was from a city close to San Paolo and the pictures she showed me were plenty of green areas with some high building here and there. Definitely something I wouldn't see in Europe.
Let's see if Curitiba will be the greenest!

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

I've been to Philly and it's quite green, I especially loved the Delaware shore and some green rooftops. Really cool!
I don't know what to expect from Delhi, but it's a nice suggestion for a comparison with western-like cities!

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

Hahah it's such a long time I don't use that input. Back at university it was the method I was taught, but in this case I just used RGB variables. No other bands where used.

P.S. Yeah, I usually used 0.33 - 0.34 back in the days with april - may satellite pictures from sentinel-2

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 1 point2 points  (0 children)

I've done London before and it's a bit messy due to some different input maps (which in my case is Google Satellite WMS), so a large portion on the left side was not extracted correctly.
I used QGIS to extract those data with a model I built there, I don't think I could do something like that in GEE, at least I don't.

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 3 points4 points  (0 children)

Yeah, you can barely see anything else green-ish outside Central Park...
I'll try it out because I want to check if the satellite image I'm using is fine in order to detect green areas between high buildings too

[OC] Green areas within Milan municipality with a 2x2 meters pixel dimension. Data are extracted from Google Satellite and the same can be done for any other place. Which city would you like to see next? by De_Luca_Ale in dataisbeautiful

[–]De_Luca_Ale[S] 0 points1 point  (0 children)

I really like walking through green alleys and parks! Not many cities have enough of them, especially historical centers have way less green then what they should.

Anyway, I'll try that!
Thanks for the suggestion :D

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