Recent comments in /f/InternetIsBeautiful

UnoStronzo t1_jcrh5ci wrote

I love it! I built something similar with Peruvian national parks (polygons instead of points, though) when I was in college. In my case, I used the Leaflet JS library. Keep up the good work!

BTW, you’re missing Yaguas NP in Peru 😅

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grafknives t1_jcr0mpp wrote

But in this case the authors NEED some source of information of every park in the world.

  1. Building a community - best, but really really hard. Like, extremely unlikely.

  2. scrapping some data from the net. Easier, but quality and availability of data is less reliable.

  3. use AI. lowest quality, but available ON HAND - here and now.

0

OldKingLemur t1_jcqi21o wrote

People may not understand that in the US, there are state parks that are controlled by each state, not the federal government. So our list should be way longer in a database like this. Especially since our parks system is one of the largest in the world.

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grafknives t1_jcqgthm wrote

Ok, then it is quite impressive.

HOWEVER! Why dont use chatGPT to generate text for ALL the parks in in the world? This will be ONE TIME work.

I bet you could work it better with programming, but it could be done "by hand".

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iamjkdn t1_jcq0evg wrote

Tell me this, is it bad to sleep more than 6 cycles? I tend to wake up late but sleep early. Maybe 10-11 hrs of sleep. Sure you might have researched on sleep a lot to build this, what are your thoughts on sleeping more than 9 hrs based on your research?

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HardKnoxville00 t1_jcplm3x wrote

My advise is you just advertise your product as is (locations where you do have photos, reviews etc.)

Then add a section where you advertise your product to be (locations where you plan to have photos, reviews etc.)

Just be honest about it and people will understand 💖🕉️

36

thecaspg OP t1_jcpkc5b wrote

I will look into it. Initially, I was getting informations about parks and their locations from Wikipedia. But it doesn’t have everything (at least not in “list” articles). Now, I’ve started importing data from OpenStreetMap but it’s also easy to miss something because tagging is not always consistent.

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