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Spatial Databases

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Database Management System (DBMS) software to create, maintain and access databases ... GRANT, CREATE USER, DROP USER. Geometry. Point. Curve. Surface ... – PowerPoint PPT presentation

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Title: Spatial Databases


1
Spatial Databases
  • ENVE/CE 424/524

2
Definitions
  • Database an integrated set of data on a
    particular subject
  • Spatial database - database containing geographic
    data of a particular subject for a particular
    area
  • Database Management System (DBMS) software to
    create, maintain and access databases
  • Data load
  • Editing
  • Visualization
  • Mapping
  • Analysis
  • Storage
  • Indexing
  • Security
  • Query

3
GIS old and new
GIS used to be monolithic systems all-in-one,
proprietary applications that stored, queried,
and visualized data
New systems follow more of a tool-box
approach modularized applications that
interoperate
4
Who can benefit from spatial data management?
Army Commander Has there been any significant
enemy troop movement in the past week? Insurance
Risk Manager Which houses are most likely to be
affected in the next great flood on the
Mississippi? Medical Doctor Based on this
patients MRI, have we treated somebody with a
similar condition? Molecular Biologist Is the
topology of the amino acid biosynthesis gene in
the genome found in any other sequence feature
map in the database? Astronomer Find all blue
galaxies within 2 arcmin of quasars.
5
Three classes of users for spatial databases
Major database managers specialized products for
enterprise management GIS users analysis of
data Internet user more generalized requirements
6
Advantages of Databases over Files
  • Avoids redundancy and duplication
  • Reduces data maintenance costs
  • Applications are separated from the data
  • Applications persist over time
  • Support multiple concurrent applications
  • Better data sharing
  • Security and standards can be defined and
    enforced

7
Disadvantages of Databases over Files
  • Expense
  • Complexity
  • Performance especially complex data types
  • Integration with other systems can be difficult

8
Types of DBMS Model
  • Hierarchical
  • Network
  • Relational RDBMS
  • Object-oriented OODBMS
  • Object-relational - ORDBMS

9
Characteristics of DBMS
  • Data model support for multiple data types
  • e.g MS Access Text, Memo, Number, Date/Time,
    Currency, AutoNumber, Yes/No, OLE Object,
    Hyperlink, Lookup Wizard
  • Load data from files, databases and other
    applications
  • Index for rapid retrieval
  • Query language SQL
  • Security controlled access to data
  • Multi-level groups
  • Controlled update using a transaction manager
  • Backup and recovery

10
Relational DBMS
  • Data stored as tuples (tup-el), conceptualized as
    tables
  • Table data about a class of objects
  • Two-dimensional list (array)
  • Rows objects
  • Columns object states (properties, attributes)

11
Table
Column property
Table Object Class
Row object
Object Classes with Geometry called Feature
Classes
12
Relational DBMS
  • Most popular type of DBMS
  • Over 95 of data in DBMS is in RDBMS
  • Commercial systems
  • IBM DB2
  • Informix
  • Microsoft Access
  • Microsoft SQL Server
  • Oracle
  • Sybase

13
Spatial Database Example
Land parcel with boundary id 1050
14
Relational Database Example
Four tables needed in the land parcel relational
database
15
Relational database example 2
16
(No Transcript)
17
Relation Rules (Codd, 1970)
  • Only one value in each cell (intersection of row
    and column)
  • All values in a column are about the same subject
  • Each row is unique
  • No significance in column sequence
  • No significance in row sequence

18
SQL
  • Structured (Standard) Query Language
    (pronounced SEQUEL)
  • Developed by IBM in 1970s
  • Now standard for accessing relational databases
  • Three types of usage
  • Stand alone queries
  • High level programming
  • Embedded in other applications (ArcGIS)

19
Types of SQL Statements
  • Data Definition Language (DDL)
  • Create, alter and delete data
  • CREATE TABLE, CREATE INDEX
  • Data Manipulation Language (DML)
  • Retrieve and manipulate data
  • SELECT, UPDATE, DELETE, INSERT
  • Data Control Languages (DCL)
  • Control security of data
  • GRANT, CREATE USER, DROP USER

20
Spatial Types OGC Simple Features
Data Model A set of constructs for representing
objects and processes in a digital environment
Composed
Type
SpatialReferenceSystem
Geometry
Relationship
GeometryCollection
Point
Curve
Surface
Polygon
MultiSurface
MultiCurve
MultiPoint
LineString
Line
LinearRing
MultiPolygon
MultiLineString
21
Spatial Relations
  • Equals are the geometries the same?
  • Disjoint do the geometries share common point?
  • Intersects do the geometries intersect?
  • Touches do the geometries intersect at their
    boundaries?
  • Crosses do the geometries overlap?
  • Within is one geometry within another?
  • Contains does one geometry completely contain
    another?
  • Overlaps do the geometries overlap?
  • Relate are their intersections between the
    interior, boundary or exterior of the geometries?

22
Contains Relation
23
Touches Relation
24
Spatial Methods
  • Distance determines shortest distance between
    any two points in two geometries
  • Buffer returns a geometry that represents all
    the points whose distance from the geometry is
    less than or equal to a user-defined distance
  • ConvexHull returns a geometry representing the
    small polygon that can enclose another geometry
    without any concave areas
  • Intersection returns a geometry that contains
    just the points common to both input geometries
  • Union returns a geometry that contains all the
    points in both input geometries
  • Difference returns a geometry containing the
    points that are different between the two
    geometries
  • SymDifference returns a geometry containing the
    points that are in either of the input
    geometries, but not both

25
Convex Hull and Difference Methods
Convex Hull
Difference
26
Indexing
  • Used to locate rows quickly
  • Like a book index, it is a special representation
    of the content that adds order and makes finding
    items faster
  • RDBMS use simple 1-d indexing
  • Spatial DBMS needs 2-d, hierarchical indexing
  • Grid
  • Quadtree
  • R-tree
  • Multi-level queries often used for performance
    (MBR)

27
Grid Index (multi-level)
  • Overlay uniform grid
  • Assign objects a grid id

Multi-level grids are used for variable sized
objects within a database
28
Point and Region Quadtree Indexing
Based on recursive division of space.
Region Quadtree
Point Quadtree
29
R-tree
Use minimum bounding rectangle (MBR) or minimum
bounding box (MBB)
Add a new object to the MBR that would expand the
least to accommodate the object
30
Minimum Bounding Rectangle
31
Order Dependence of a Query
Query Select all households within 3 km of a
store that have an income greater than 100,000
1. Select all households with an income greater
than 100,000 from this selected set, select all
households within 3 km of a store
2. Select all households within 3 km of a store
from this selected set, select all households
with an income greater than 100,000
32
Distributed Databases
www.midcarb.org
33
References
Longley et al., Geographic Information Systems
and Science, 2001 Chapter 11 Guenther,
Environmental Information Systems, 1998 Chapter 3
34
Final Few Weeks
  • Lecture April 15, Metadata and Interoperability
  • Lab April 17 (next Thursday), project/problem
    set work
  • Ill spend a few minutes with each of you to get
    an update on your progress.
  • Article review due April 17
  • Lab April 22, project lab session.
  • Lecture April 24, GIS in decision-making
  • Project Presentation May 8
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