ºÝºÝߣ

ºÝºÝߣShare a Scribd company logo
Mobile Data, Maps,
&
Place Attachment
Tyler Bell
@twbell
State-of-the-Map
(st¨¡t-?v-T? H¨¥-map)
noun
1. An annual event to meet
Twitter geo friends
1. An yearly opportunity to
disagree on licensing
Do You View
'Mapping' as °Õ³ó¾±²õ¡­.
°Õ³ó¾±²õ¡­.
SELECT placex.osm_id, placex.class, placex.type, placex.admin_level, name, hstore_to_json(name) AS name_json
GeometryType(geometry) AS geotype,ST_Area(ST_Intersection(
ST_MakeEnvelope(105.036079,28.152861,110.168907,32.220299,4326) ,
ST_Envelope(geometry)))/
ST_Area(ST_MakeEnvelope(105.036079,28.152861,110.168907,32.220299))
AS overlap,ROUND(ST_Distance(ST_GeometryFromText('POINT(107.602493
30.186581)',4326)::geography, ST_Centroid(geometry)::geography))::numeric AS distance,'wginosm' AS querytype,
AS pass
FROM placex_name_search
LEFT JOIN placex ON placex_name_search.place_id = placex.place_id
WHERE ST_intersects(geometry, ST_GeometryFromText('POINT(107.602493 30.186581)',4326))
AND placex.admin_level <= 9
AND transliteration IN (transliteration(lower('ÖØÇìֱϽÊÐ')),
transliteration(lower('ÖØÇì')),
transliteration(lower('ÖØ‘c')),
transliteration(lower('Chongqing')),
transliteration(lower('ÖØ‘c ֱݠÊÐ')),
transliteration(lower('¤¸¤å¤¦¤±¤¤')),
transliteration(lower('??')),
transliteration(lower('ÖØ‘cÊÐ')))
AND GeometryType(geometry) IN ('POLYGON','MULTIPOLYGON') AND lower(placex.class) IN ('boundary','place')
AND lower(placex.type) NOT IN ('house','farm')
GROUP BY placex.osm_id, placex.type, placex.class, placex.osm_type, placex.admin_level, placex.name,
placex.geometry
ORDER BY distance
or This?
Consumer-Focused
Sensor Platform
'Classic' Geofencing
The understanding of a
'user' is Informed by the
Map
Increasingly, the Map is
Informed by The User
Distilling Data Exhaust
HKG Flickr Poly (c.2008)
10
11
HKG Flickr Poly (c.2013)
https://twitter.com/Uber/status/605796032916516864
Uber
"complete map of NYC every 24 hours"
Marketing...
...and Ad Tech
"Google 'near me' searches have
increased 34x since 2011, and nearly
doubled since 2014"
-Google (natch)
Use of Geo-Targeting by
Sector
Apps are a Massive Data Source
Indicative Metric: one
Factual Ad-Tech customer
validates over five-billion
location queries per day, at a
peak of around 500k qps
Bad App
Better App
Bad
Developer
Machine-to-Machine
Place Disambiguation
Place Disambiguation: Google
Foursquare Checkins
Uber Pins
Coordinates regularly clustered
around LAX airport on Monday
mornings and Thursday evenings
Coordinates clustered around fast
food restaurants numerous times
throughout a week
Coordinates clustered around a
single city, including early morning
and evenings on weekdays;
sporadic usage on weekends
Segment: Lives in Santa Monica, CA Segment: Business Traveler Segment: Quick-Serve Restaurant Diner
Analyzing Device Patterns
to form Geo-Behavioral
Attributes
In other crowdsourced mapping
systems edited data are pushed to a
live site and, then, curated until it is
¡°considered¡± correct by meeting the
commonly held notion of what is
correct by the community that
evaluates it.
-Mike Dobson
http://blog.telemapics.com/?p=577
State of the Map US 2015
"Kind of Like a Ping-Pong Match"
(More Like a Forge)
Tyler Bell
@twbell
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