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Lecture 10 Creating and Maintaining Geographic Databases Longley et al., Ch. 10, through section 10.4.

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Presentation on theme: "Lecture 10 Creating and Maintaining Geographic Databases Longley et al., Ch. 10, through section 10.4."— Presentation transcript:

1 Lecture 10 Creating and Maintaining Geographic Databases Longley et al., Ch. 10, through section 10.4

2 Outline Definitions Characteristics of DBMS Types of databases Relational model SQL Queries as a gateway to spatial analysis

3 cell towers +/- 500 m Google db of tower locations Graphic courtesy of Wired, Feb. 2009 Wi-Fi +/- 30 m Skyhook servers and db iPhone GPS +/- 10 m iPhone uses reference network

4 Definitions Database – an integrated set of data (attributes) on a particular subject Geographic (=geospatial) database - database containing geographic data of a particular subject for a particular area Database Management System (DBMS) – software to create, maintain and access databases

5 A GIS can answer the question: What is where? WHAT: Characteristics of features (= attributes). WHERE: In geographic space.

6 A GIS links attribute and spatial data Attribute Data Flat File or DBMS Relationships Topology Table Map Data Point File Line File Area File Topology Type

7 Flat File or DBMS RecordValue Attribute RecordValue RecordValue

8 Ancient DBMS From Clarke, Getting Started with GIS

9 Types of DBMS Models Hierarchical Network Relational - RDBMS Object-oriented - OODBMS Object-relational - ORDBMS

10 Historically, databases were structured hierarchically in flat files...

11 Relational Databases rule now

12 Characteristics of DBMS (1) 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

13 Characteristics of DBMS (2) Query language – e.g., SQL Security – controlled access to data Multi-level groups Controlled update using a transaction manager Backup and recovery

14 Characteristics of DBMS (3) Applications Forms builder Reportwriter Internet Application Server CASE tools Programmable API

15 Geographic Information System Database Management System Data loading Editing Visualization Mapping Analysis Storage Indexing Security Query Data System Task Role of DBMS

16 Relational DBMS (1) 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)

17 Table Row = object Vector feature Column = attribute

18 Relational DBMS (2) 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

19 Relational Join Fundamental query operation Occurs because Data created/maintained by different users, but integration needed for queries Table joins use common keys (column values) Table (attribute) join concept has been extended to geographic case

20 Relational Databases

21 SQL Structured (Standard) Query Language – (pronounced SEQUEL) Developed by IBM in 1970s Now de facto and de jure standard for accessing relational databases Three types of usage Stand alone queries High level programming Embedded in other applications

22 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

23 Spatial Search: Gateway to Spatial Analysis Overlay is a spatial retrieval operation that is equivalent to an attribute join. Buffering is a spatial retrieval around points, lines, or areas based on distance.

24 Overlay Image courtesy of K. Foote/M. Lynch, UT-Austin

25

26 Overlay 0 1

27 Overlay like an attribute join

28 Types of overlay operations Union Intersect Identity Max Min Etc.

29 Union computes the geometric intersection of two polygon coverages. All polygons from both coverages will be split at their intersections and preserved in the output coverage.

30 Union within 25 miles of a city OR within 25 miles of a major river.

31 Intersect computes the geometric intersection of two coverages. Only those features in the area common to both coverages will be preserved in the output coverage.

32 Intersect within 25 miles of a city AND within 25 miles of a major river.

33 Identity computes the geometric intersection of two coverages. All features of the input coverage, as well as those features of the identity coverage that overlap the input coverage, are preserved in the output coverage.

34 Identity within 25 miles of a city OR within 25 miles of a major river. within 25 miles of a city AND within 25 miles of a major river. Portion of the major city buffer WITHIN the major river buffer

35 Identity Intersect

36 Buffer

37

38 Complex Retrieval: Map Algebra Combinations of spatial and attribute queries can build some complex and powerful GIS operations, such as weighting. Weighted overlay analysis really just complex retrieval.

39 Map Algebra Compared with RAINFALL 1990 RAINFALL 1991 MAX RAINFALL 1990-’91

40 Recode OR

41 A-B = AGRICULTURAL C-E = NON-AGRICULTURAL

42


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