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Chapter 2 (What: Data Abstraction) (Dataset types (Others (List, Cluster,…
Chapter 2 (What: Data Abstraction)
The Big Picture
Why Do Data Semantics
and Types Matter?
Data types
Items
individual entity that is discrete
row / node
Attributes
Specific property that can be measured, observed or logged
Links
relationship between network
Positions
Grids
Dataset types
Table
Networks & Trees
Fields
Spatial
Grid types
Geometry
Others
List
Cluster
set
Dataset availability
Static
Dynamic
Attribute types
Categorical
Ordered
Ordinal
Direction
Sequential
Diverging
Cyclic
Quantitative
Hierarchical
Semantics (meaning)
Key(index) vs Value
Flat tables
Multidimensional Tables
Fields
Scalar Fields
Vector Fields
Tensor Fields
Field Semantics
Temporal
Time-varying data