[HOT] Interesting Isochron Map From WHO

Heather Leson heatherleson at gmail.com
Sat Nov 15 08:54:49 UTC 2014


Thanks, Andrew. Rafael, I agree it should be tracked. I added it to the
media listing here:
http://wiki.openstreetmap.org/wiki/2014_West_Africa_Ebola_Response


Maybe we should edit the main HOT wiki adding a subpage dedicated to strong
Use Cases? If so, where is the best place to file it? Maybe it should be
Research and Use Cases (new) page as this is definitely something we want
to explore.

Heather


Heather Leson
heatherleson at gmail.com
Twitter: HeatherLeson
Blog: textontechs.com

On Fri, Nov 14, 2014 at 10:14 PM, Rafael Avila Coya <ravilacoya at gmail.com>
wrote:

> Impressive, Andrew!
>
> This should be recorded as yet another excellent example of the use of the
> data we produce by humanitarian data consumers. It will surely make happier
> the volunteers already mapping, and attract new mappers to the HOT jobs.
> Thank you,
> Rafael.
> El 14/11/2014 12:11, "Andrew Buck" <andrew.r.buck at gmail.com> escribió:
>
> -----BEGIN PGP SIGNED MESSAGE-----
>> Hash: SHA1
>>
>> Hey everyone,
>>
>> Just got this link to an interesting map put together by WHO using OSM
>> data and wanted to share it with the list so that you can all see how
>> your work is being used in the ebola response.  The map at the link
>> below (note, the link may not be permanent) shows the location of
>> several ebola testing laboratories in the affected area, but the
>> interesting part is the colored isochron contours which show the
>> regions where you can drive to the laboratories in a given length of
>> time.  There is a isochron for 1 hour, 3 hours, and 5 hours travel
>> time to the laboratories.
>>
>>
>> http://maps.who.int/SimpleViewer_WHO/?webmap=adcafab67341461c84961d534316f1ba
>>
>> Not only does this map use OSM as a background layer, but the
>> isochrons themselves are actually based off of OSM road network data.
>>  This shows the kind of versatility that OSM data can provide above
>> and beyond just rendering maps to look at and print out.  When
>> combined with population data analyses like these can be invaluable in
>> deciding where to place new laboratory facilities and can be used by
>> drivers to easily decide which facility would be the best place to
>> take a sample to.
>>
>> We are glad to see analysis like this being done so I want to say
>> thank you to the WHO for producing it, and of course a big thank you
>> to all the OSM contributors who helped make it possible.
>>
>> - -AndrewBuck
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