Geotrends For 2011 And Beyond
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Mapfluence is a San Francisco-based company founded in 2003 that provides an on-demand geocatalog of commercial, open, proprietary and custom data through a hosted mapping and data marketplace platform. It aggregates over 10,000 variables on topics like neighborhoods, transportation, climate and demographics. The platform offers web-based GIS functions, APIs to access and visualize spatial data, and tools to create custom maps and analyze relationships in the data. Mapfluence sees trends in 2011 towards widespread sensor data, real-time data applications, open data and challenges of data literacy as more information becomes available.
Geotrends For 2011 And Beyond
- 1. Web mapping + on-demand data
- 2. Geotrends for 2011January, 2011
- 3. Corporate OverviewFounded in 2003Poor man’s GISRefounded 2006Neighborhood boundariesMass transit dataRefocused 2009Hosted mappingSan Francisco-basedSeed financedProfitable, 80% YOY rev growth3/15/11Proprietary and Confidential
- 4. Corporate Overview (2)Data Marketplace“Hard to maintain, difficult to collect”Source, aggregate, normalize, maintain, host 10k+ variablesNeighborhood boundariesTransportation infrastructure (public transit, air travel)Airport noise contoursNatural hazardsClimateDemographicsEtcOn-demand 24/7 hosted geo-services platformAPI to support spatial queries, visualizations, base mapIndexed, searchable data and metadata3/15/11Proprietary and Confidential
- 5. Mapfluence OverviewA massive on-demand geocatalog of dataCommercial, open, proprietary, custom dataThematic (eg, demographics, crime, government, transportation, etc)Geographic hierarchy (eg, country, state, city, sales territory, neighborhood)Temporal (changes in values over time)Data queries and visualizationsWeb-based GIS functions: point in poly, spatial joins, filter, sort, other data queriesCreate custom maps, charts and graphs Mashup data through Mapfluence with BYOD High-performance online serviceNo software to installEasy to interface to existing systems (HTTP, JavaScript API)Redundant, scalable via cloud-based infrastructure (AWS)3/15/11Proprietary and Confidential
- 6. Mapfluence OverviewQuery API: Used to retrieve raw dataEstimateAggregate by geographyFilter by geography Retrieve geographic dataRetrieve attribute/indicator dataVisual API: Used to graphically represent dataThematic (filled) mapsHeat mapsComposited base map Points/lines/polygonsMetadata API: Data DiscoveryIndexed data catalogProprietary and Confidential
- 8. Trends for 2011Proprietary and Confidential
- 9. Forecast Says…Proprietary and ConfidentialMulti-tenant infrastructure, AWS, private cloudEnterprise comfort with services modelPresume (near) ubiquitous connectivityIncumbent players facing Innovator’s DilemmaGIS: Web as a disruptive platformData Vendors: the death of CD-ROM
- 10. Sensors EverywhereProprietary and ConfidentialWhen is a phone not a phone?
- 11. Sensors EverywhereProprietary and ConfidentialWhen is a phone not a phone?
- 12. Sensors EverywhereProprietary and ConfidentialWhat can your iPhone do?
- 13. Sensors EverywhereProprietary and ConfidentialWhat can your iPhone do?
- 14. Sensors EverywhereProprietary and ConfidentialWhat can your iPhone do?TemperatureAccelerometerTilt/gyroDistancelng/latElevationProximityAmbient light/IRMoistureAudioImageVideo
- 15. Real Time ObsessionProprietary and ConfidentialThanks to sensors…Everything that can be attributed will beTrafficLogisticsHealth/wellnessApp economy/instant gratification/social networking
- 16. Data CommoditizationProprietary and ConfidentialWiki + Maps = Open Street MapSensors + Free Time = Danger!Government transparency = (unrefined) data delugeVenture financing:InfoChimpsPointInsideMicelloFactualWazeCloudMadeInfoHubble
- 17. Data IlliteracyProprietary and ConfidentialFrom the data deluge, information anxiety followsEnter the rise of “data science”The mean/median/mode dilemma (innumeracy)
- 18. Data IlliteracyProprietary and ConfidentialOne man’s metadata is another’s dataMetadataData“Why can’t we be together?”
- 19. ContactProprietary and Confidential26 OFarrell StreetSuite 310San Francisco, CA 94108info@urbanmapping.com
Editor's Notes
- #7: alternatives for ‘filled maps’ with user data.
- #17: Government transparency/2.0 and open data means increased availability and much increased complexityIncreased venture financing for startups that plan to sell what to whom?
- #18: These may not be the jobs you are looking for
- #19: Data Curator: *”data scientist” presumes fully-described/understood data structure/model, something exceedingly unlikelyPart social scientist (empirical methods, demography, statistics)Part librarian (taxonomy, editorial, secondary research)Part RDBMS wizETL, the $10bdata gymnastics segment nobody has heard of
- #20: Data Curator: *”data scientist” presumes fully-described/understood data structure/model, something exceedingly unlikelyPart social scientist (empirical methods, demography, statistics)Part librarian (taxonomy, editorial, secondary research)Part RDBMS wizETL, the $10bdata gymnastics segment nobody has heard of