XPost: misc.phone.mobile.iphone, alt.comp.os.windows-10, comp.mobile.android
From: ithinkiam@gmail.com
Marian wrote:
> Marian wrote:
>> Note that we can plot those ~400 entries on a map with Python's folium
>> library so you can visually explore the cluster instead of scrolling.
>
> It's trivial to display all the results.txt BSSID:GPS pairs on a local map!
>
> Download the folium source archive
>
> Name: folium-0.20.0.tar.gz
> Size: 109932 bytes (107 KiB)
> SHA256: A0D78B9D5A36BA7589CA9AEDBD433E84E9FCAB79CD6AC213ADBCFF922E454CB9
>
> C:\app\archiver\7zip\7z.exe xfolium-0.20.0.tar.gz
> C:\app\archiver\7zip\7z.exe x folium-0.20.0.tar
> xcopy /E /I folium-0.20.0\folium C:\app\os\python\Lib\site-packages\folium
> 53 files copied
> C:\app\os\python\python.exe -c "import folium; print(folium.__version__)"
>
> Download the latest branca release from PyPI:
>
> https://files.pythonhosted.org/packages/32/14/9d409124bda3f4ab
af3802aba07181d1fd56aa96cc4b999faea6a27a0d2/branca-0.8.2.tar.gz
> Name: branca-0.8.2.tar.gz
> Size: 27890 bytes (27 KiB)
> SHA256: E5040F4C286E973658C27DE9225C1A5A7356DD0702A7C8D84C0F0DFBDE388FE7
> C:\app\archiver\7zip\7z.exe x branca-0.8.2.tar.gz
> C:\app\archiver\7zip\7z.exe x branca-0.8.2.tar
>
> xcopy /E /I branca-0.8.2\branca C:\app\os\python\Lib\site-packages\branca
>
> 10 files copied
> C:\app\os\python\python.exe -c "import branca; print(branca.__version__)"
>
> Download Jinja2 source archive
>
> https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7
72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz
> Name: jinja2-3.1.6.tar.gz
> Size: 245115 bytes (239 KiB)
> SHA256: 0137FB05990D35F1275A587E9AEE6D56DA821FC83491A0FB838183BE43F66D6D
> C:\app\archiver\7zip\7z.exe x Jinja2-3.1.6.tar.gz
> C:\app\archiver\7zip\7z.exe x Jinja2-3.1.6.tar
> xcopy /E /I Jinja2-3.1.6\src\jinja2 C:\app\os\python\Lib\site-packages\jinja2
> 26 files copied
> C:\app\os\python\python.exe -c "import jinja2; print(jinja2.__version__)"
>
> Since this is getting tedious, I'll install pip:
> C:\app\os\python\python.exe -m ensurepip
>
> And then I'll install the rest of the dependencies.
> C:\app\os\python\python.exe -m pip install markupsafe
> C:\app\os\python\python.exe -m pip install numpy
> C:\app\os\python\python.exe -m pip install xyzservices
>
> Test:
> C:\app\os\python\python.exe -c "import folium; print(folium.__version__)"
> C:\app\os\python\python.exe -c "import folium; m =
> folium.Map(location=[0,0], zoom_start=2); m.save('test_map.html');
print('OK')"
>
> python plot_bssid.py
> Map saved to bssid_map.html
>
> start msedge "C:\app\os\python\apple_bssid_locator\bssid_map.html"
> Voila! Up to 400 nearest access points on the map in a single query.
I mean, it's great you're really getting into this and enjoying sharing
your workings, however, this doesn't address your original "trivial" claim.
You're still only exploring one (known) BSSID at a time. Even on a loop.
The truly non-trivial bit is expanding to all of california and all of
florida unknown BSSIDs then doing a temporal mapping between the two.
I get it. It's very easy to underestimate the complexity of data questions.
Professionally I work with a lot academic researchers and they always get a
real shock at how time consuming (and therefore expensive) doing real-world
data analyses is. They often think coming up with the question is the
difficult bit. It really isn't.
The UOM paper,, for example, collected data over 22/23 and was published in
May 24. That'll give you an idea of how long this stuff takes.
--- SoupGate-Win32 v1.05
* Origin: you cannot sedate... all the things you hate (1:229/2)
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