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Sunbeam City is a anticapitalist, antifascist solarpunk instance that is run collectively.

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A growing thing

Trying to come up with a tool to help find land for homesteading or solarpunk communes. A way of overlaying various datasets to figure out ideal locations

Besides things like climate, water access, and rainfall what type of data would you want to see?

@dualhammers
- tree density
- vegetation type (common to area or site specific, either would be helpful)
- geography/lie of land/terrain
- wildfire/bushfire risk level
- soil/terrain type (clay, saline, sandy etc)

@KnivesOnly I bet there are good datasets for some of these

@dualhammers the vegetation and soil types might be a bit more difficult to source, depending on location and proximity to agricultural and higher (population) density areas.
I think there're either already things running that can accurately assess tree density & terrain. the wildfire stuff will be country/state/locality specific, but i have little doubt that someone's developing something to do the grunt work there too

I'll look for example datasets for bushfire risk here in Australia for you!

@dualhammers and will keep an eye out for tree/vegetation datasets too! hopefully I can ask some ag/eco acquaintances for ideas

@KnivesOnly I was planning on starting with US only since that's where I can probably move reasonably but if I write the code right it will allow for importing other data sets

Please keep me apprisesd

@dualhammers History of nearby businesses/ownership -- is this downstream from an old battery factory (to quote a local example that was luckily discovered before a community food garden was established there)? Or links to environmental status report in the area -- in the US there are many available because of the required EIS processes for things like road construction and realignment.

@yomimono The latter is probably easier than the former. A website that visualizes data-sets on a map first requires a lot of verified data

@dualhammers Growing zones. Avg air quality.

@dualhammers relevant treaties or lack thereof with indigenous people

@Lizsmells that might be a hard dataset to find. I think this tool will require open collaboration

@dualhammers true. also i dont actually know how to accomplish that. but i can contribute like $1/month and make supportive comments every so often

@Lizsmells I was going to start with building the tool and then hopefully if it's useful I can add functionality so folks can add more data like this to it

@dualhammers Proximity to fracking, landfills, anything bad like that.

@dualhammers Soil conditions? Not sure how feasible that is, but knowing what growing conditions are like would be useful.

@dualhammers sorry, I misunderstood your previous message and lost track 🤯
Maybe you can look for fiberoptic backbones and dispatch points
Or wimax towers

@Antot you can jack into a dispatch point with a high frequency tower? That must take a bunch of energy

@dualhammers can you set tourself as a community or private Internet Service Provider ISP in the US?

@dualhammers where I live in europe there are a bunch of community and associative ISPs
Power-wise, a point to point link is very efficient, probably more than 10W but less than 100 to deliver a useful bandwidth

@Antot ooh! I will have to look into this as well. Thanks

@dualhammers you should also compute thing like « distance to the nearest road », drive time to the nearest city, but also bike 🚲 time to the nearest city
Nearest internet access to create wireless long range links( Yup, I’m a nurd!)

Maybe adding history of use (archeological sites) can give insights on the liveability of a space

@Antot distances sound doable. Range to the nearest wireless hub for a mesh will require a large data set of locations that I'm not sure exists

@dualhammers cell tower coverage may be good enough to do that
Line of sight view to a city also

@Antot hmm! I will need to do more study on the subject

@Antot I know the basics like that - just have to understand how a high frequency link works to figure out what data to acquire and how to filter