Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

03 인사이트를 줄 수 있는 Google Maps + CartoDB 활용사례 파헤치기

2015년 11월 12일 Google Korea에서 열린 'Google Maps와 CartoDB의 만남'이라는 주제로 세미나의 발표자료를 공유합니다. (3 / 3)

  • Be the first to comment

03 인사이트를 줄 수 있는 Google Maps + CartoDB 활용사례 파헤치기

  1. 1. 인사이트를 줄 수 있는 Google Maps + CartoDB 활용사례 파헤치기 김선경 부장, (주)SPH
  2. 2. 인사이트를 얻을 수 있는 Google Maps & CartoDB활용 파헤치기 김선경(skkim@sphinfo.co.kr) November, 2015
  3. 3. Contents •  CartoDB의 배경 •  CartoDB의 특징? •  분야별 활용 사례와 전달 가능한 가치는 무엇일까? •  CartoDB, Google Maps & Google Platform
  4. 4. CartoDB배경
  5. 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. 6. You’ve heard that deforestation is destroying 200 kilometers of the world’s forests each day
  7. 7. CartoDB특징
  8. 8. CartoDB 주요 특징 Big geospatial data storage&processing, analyze Support enterprise environment Easy way to create map, share it
  9. 9. Easy way to create map, share it
  10. 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. 11. 다양한 유형의 데이터 지원 Easy way to create map, share it 2015.11.4 Next...
  12. 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.
  13. 13. DataCubes Easy way to create map, share it [TileCubes]
  14. 14. DataCubes Easy way to create map, share it
  15. 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
  16. 16. 화려한 디자인: Interactive Map Easy way to create map, share it
  17. 17. Base Map Easy way to create map, share it Custom BasemapWeb Basemap
  18. 18. Share: Datasets에 대한 권한 설정 Easy way to create map, share it
  19. 19. Share: Map발행 권한 설정 Easy way to create map, share it
  20. 20. Big Geospatial Data Storage&Processing, Analyze
  21. 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. 22. PostGIS를 내장: 예) ST_Buffer Big Geospatial Data Storage&Processing, Analyze Highway 61 “Highway 61”주변 25마일 지 역은?
  23. 23. PostGIS를 내장: 예) ST_DWithin Big Geospatial Data Storage&Processing, Analyze “Highway 61”주변 25마일 지 역에서 태어난 음악가는?
  24. 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
  25. 25. Support Enterprise Environment
  26. 26. Enterprise Features Support Enterprise Environment
  27. 27. Enterprise: On Premise Support Enterprise Environment Real Time Data Integration CartoDB Editor CartoDB Platform Your Infra.
  28. 28. 분야별 활용 사례는 무엇일까? 어떤 가치를 느낄 것인가?
  29. 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. 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. 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.
  32. 32. CartoDB, Google Maps & Google Platform
  33. 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
  34. 34. CartoDB API+Google Maps CartoDB, Google Maps & Google Platform
  35. 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.
  36. 36. 김선경 연구소장 skkim@sphinfo.co.kr 홈페이지 www.sphinfo.co.kr Tel: 02-785-9910

×