5. CartoDB Profile
Extract insights of your location dat
a and create amazing data-driven c
ustomized visualizations
Enterprise Software,
Data Visualization, Open Source,
Location Based Services, Maps
6. You’ve heard that deforestation is destroying 200
kilometers of the world’s forests each day
10. 간단한 절차로 매핑
Easy way to create map, share it
Create a new
dataset
Visualize your
data and create
map
Publish and
share your map
11. 다양한 유형의 데이터 지원
Easy way to create map, share it
2015.11.4 Next...
12. 시계열 데이터 분석
Easy way to create map, share it
Torque: CartoDB’s library for animating time-series data
on maps. You can already build a range of Torque maps
with point data in our Editor GUI: plotting dynamic events,
social reactions, traffic patterns, categorical comparisons,
and hotspots of activity.
15. 시계열 데이터 분석
Easy way to create map, share it
Torque.js uses CartoDB to generate the TorqueTiles format by default.
TorqueTiles
Tiles
Metadata Tileset Information
A core set of
information to be
rendered
https://github.com/CartoDB/tilecubes
21. PostGIS를 내장
Big Geospatial Data Storage&Processing, Analyze
• CartoDB is built on top of Postg
reSQL using PostGIS extension
You have all the power of relational databases
combined with hundreds of geospatial functions.
22. PostGIS를 내장: 예) ST_Buffer
Big Geospatial Data Storage&Processing, Analyze
Highway 61
“Highway 61”주변 25마일 지
역은?
23. PostGIS를 내장: 예) ST_DWithin
Big Geospatial Data Storage&Processing, Analyze
“Highway 61”주변 25마일 지
역에서 태어난 음악가는?
24. 많이 사용되는 공간연산 기능
Big Geospatial Data Storage&Processing, Analyze
§ ST_Buffer
§ ST_Distance
§ ST_Transform
§ ST_Area
§ ST_Union
§ ST_Centroid
§ ST_SetSRID
§ ST_Collect
§ ST_Y
§ ST_X
§ ST_Intersection
§ ST_Contains
ST_Distance
29. Media and Creative
Agency
Goal: Generate brand awareness, enga
gement, and drive traffic to customer
platform
Method: Easily integrated timely data i
nto CartoDB to create a visualization t
hat covered a trending media topic
Accomplishments: Increased awareness
with nearly 6 M views
Created a cost effective high-traffic me
dia campaign
30. Trend Analysis-Tour
Goal: : An interactive tool to analyze to
urist spending in Spain during the sum
mer of 2014.
Method: With data, on 5.4 million cred
it card transactions, we worked out ho
w to visualize tourist spending effectiv
ely while optimizing the speed and per
formance of the application
Accomplishments: Insights
https://www.youtube.com/watch?v=q4-
Z24lZwwk&feature=youtu.be
31. Real Estate: Visualizing Connections
with GROW.LONDON and CartoDB
Goal: : Diversifying Business Analytics Ma
king Decisions for Better Cities Making Ac
curate Predictions
Method: An easy to use cloud-based GIS
solution that generates beautiful and clea
r representations of London’s neighborho
ods and districts.
Accomplishments: Data-driven visualizatio
ns that measure population growth, econ
omic output, housing prices, emerging m
arket clusters, among many other insights,
which monitors a timeline of developmen
ts across London.
33. Integration 효과
Millions of Points Work Together PostGIS Power
§ Google Cloud Platform
§ Google Maps API
§ Google Web Services
• Geocoding API
• Google Street View API
• .Google Direction API
• ...
• Google Maps Library
• Heatmap Library
• ...
§ Dynamic rendering of maps,
real-time data
§ 1000+ GIS Function
§ WebGL, CanvansLayer
§ Clustering
§ Torque
CartoDB, Google Maps & Google Platform
35. 감사합니다.
Location data is paramount to intelligent planning and development. Geographical information
provides a common frame of reference and big picture analysis for entrepreneurs, citizens and
policymakers alike. The new place-based thinking demonstrates that location can no longer be
considered just a pin on a map. Location is now the dynamic nexus of the physical
and digital in real time. The availability of geo-tagged digital data creates rich new layers of
information that can be utilized at scale to create evolving solutions for more livable cities, intelligent
policy and design, better research, improved emergency response, predictive analysis, and economic
opportunity.