Spatial Database
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The document summarizes a seminar on spatial databases. It defines spatial data as data that identifies geographic locations and features on Earth. It then defines a spatial database as a database optimized to store and query geometric objects like points, lines and polygons. It lists some key advantages of spatial databases like transactions, security and concurrent users. It also lists some disadvantages as being complex to design and requiring suitable hardware. It concludes that spatial databases are valuable for applications like military planning, insurance and healthcare by allowing storage, querying and sharing of spatial data.
Spatial Database
- 1. SEMINAR ON SPATIAL DATABASE SUBMITTED BY: JYOTISHNA BORA ROLL NO: 12
- 2. CONTENTS: INTRODUCTION SPATIAL DATABASE FEATURES OF SPATIAL DATABASE ADVANTAGES AND DISADVANTAGES OF SPATIAL DATABASE APPLICATIONS CURRENT RESEARCH CONCLUSION REFERENCES
- 3. INTRODUCTION Spatial data: Spatial data is also known as geospatial data or geographic information it is the data or information that identifies the geographic location of features and boundaries on Earth, such as natural or constructed features.
- 4. FEATURES OF SPATIAL DATA: Geometric and varied Naturally high dimensional Can be either discrete or continuous
- 5. SPATIAL DATABASE A spatial database is a database that is optimized to store and query data that represents objects defined in a geometric space. Most spatial databases allow representing simple geometric objects such as points, lines, and polygons. Some spatial databases handle more complex structures such as 3D objects, topological coverage’s and linear networks.
- 6. Roads are represented as Lines Mail Boxes are represented as Points
- 7. ADVANTAGES OF SPATIAL DATABASE: 1.transactions 2. security/access control 3. Concurrent users 4. Database replication 5. Reduced program maintenance
- 8. DISADVANTAGES OF SPATIAL DATABASE: 1. Complex, difficult to design. 2. Initial training for users. 3. Suitable hardware. 4. Conversion costs. 6. Slower than other data structures
- 9. APPLICATIONS OF SPATIAL DATABASE: Many important applications domains have spatial data and queries.Some examples follow: 1. Army Field Commander. 2.Insurance Risk Manager. 3.Medical Doctor.
- 10. CONCLUSION 1.SDBMS is valuable to many important applications 2.SDBMS is a software module works with an underlying DBMS provides spatial ADTs callable from a query language provides methods for efficient processing of spatial queries 3.Components of SDBMS include spatial data model, spatial data types and operators, spatial query language, processing and optimization spatial data mining 4.SDBMS is used to store, query and share spatial data for GIS as well as other applications