Big Spatial Data and Geospatial Intelligence

Big Spatial Data

Growth Of Spatial Data - State

  • National government agencies collect and store census, remote sensing, land survey, and federal tax data
  • State and Local government agencies collect and store myriad data relating to planning, politics and taxation

Limitless Growth of Spatial Data - Capital

  • Capital (Private sector)
    • Communications: cell phone, internet providers
    • Sales: Point of purchase, Point of delivery
    • Social Media

The 6 Vs of Big Data

  • Volume
  • Variety
  • Velocity
  • Veracity
  • Value
  • Variability

Characteristics of Big Data

  • Huge in volume, consisting of terabytes of petabytes of data
  • Hight in velocity, being created in or near real time
  • Diverse in variety, being structured and unstructured in nature
  • Exhaustive in scope, striving to capture entire populations or systems
  • Fine-grained in resolution, aiming to be as detailed as possible, and uniquely indexical in identification
  • Relational in nature, containing common fields that enale the conjoining of different data sets
  • Flexible, holding the traits of extensionality (can add new fields easily) and scalability (can expand in size rapidly)

Types of Big Data

  • Directed
  • Automated
  • Volunteered