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Spatial Data and Database Concepts

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Attributes: items, fields. Record: group of related items to same location. File: set of records ... Create tables, access properties of fields, view other ... – PowerPoint PPT presentation

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Title: Spatial Data and Database Concepts


1
Spatial Data and Database Concepts
  • GIScience
  • gIs

2
Data
  • Surrogate for reality is numbers
  • 80 of doing GIS is developing data
  • Information processed data
  • Relevant, reliable, accurate, verifiable,
    up-to-date, timely, complete, intelligible,
    consistent, convenient, easy to handle, protected
  • Information systems changes data to info
  • Conversion format
  • Organization database management
  • Structuring software applications
  • Modeling statistical analysis, visualization

3
Issues related to geographic information
  • Rich and voluminous
  • Complexity of earths surface
  • Essential for many activities
  • Level of detail varies geographically
  • Multidisciplinary
  • Unanticipated consequences on society

4
Data types
  • Primary vs secondary
  • Quantitative/qualitative
  • Cross-sectional vs time series
  • Hard vs soft
  • Categorical vs continuous
  • Geographical data
  • Spatially referenced
  • Aggregation of space
  • May be related to aspatial (nonspatial)
    attributes

5
Aspatial data
  • Attributes items, fields
  • Record group of related items to same location
  • File set of records
  • Array, Table, List, Tree
  • Relationships
  • One to one
  • Many to one
  • Many to Many

6
Aspatial data formats
  • Flat files/Spreadsheets
  • Fields and records
  • Hierarchical files
  • One to many relationship
  • Key fields
  • Relational files
  • Links
  • SQL structured query language

7
Data models
  • Field-based
  • Continuous, surfaces, raster
  • Indirectly obtained
  • Object-based
  • Feature, object, vector, discrete
  • Field surveying, lab methods

8
Data structures
  • Feature data structures
  • Geometric
  • EX Shapefiles on the fly topology
  • Planar enforcement
  • Topological data structure
  • EX Coverages are-node topology
  • Directionality
  • Networks
  • Node (junctions) and lines (edges), flow
    direction
  • Geometric coincidence
  • Field data structure
  • Surface
  • z values
  • EX DEM
  • TIN (Triangulated Irregular Network)
  • Object-oriented data structure
  • State of feature (what is it?) and behavior (what
    it does)
  • Rules and relationships
  • EX Geodatabases

9
Data formats
  • Raster file formats
  • Feature data formats (Vector, Geodatabases)
  • Refer to tables.
  • Data in the computer
  • Bits, bytes, integers, floating points

10
Data in ArcGIS
  • ArcCatalog
  • Create tables, access properties of fields, view
    other existing tables, database management
  • ArcMap
  • Work with existing tables
  • Viewing and editing tables
  • Field types integer, float (short real), double
    (long real), text, blob (binary large object)
  • Precision total number of digits
  • Scale total number of decimal places

11
Categorical relationships
  • Nominal
  • Names, categories
  • Ordinal
  • Ranking
  • Interval
  • Numeric scales with arbitrary datum
  • Ratio
  • Measure of definable quantity from an absolute
    datum

12
Spatial relationships
  • Association of different features in space
  • Absolute and relative locations
  • Distance between features
  • Proximity of features
  • Features in a neighborhood of other features
  • Direction and movement from place to place

13
Determine spatial relationships by
  • Boolean relationships
  • And, or, inside, outside, intersecting,
    non-intersecting
  • Topology
  • Spatial relationships and integrity rules
  • Equals, Contains, Within, Crosses, Overlaps,
    Touches
  • Attribute domains
  • Spatial indexing
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