Short course/CPD

Spatial Data Management

 

Course date: Please enquire

Course overview

It has been estimated that some 80% of the data used for environmental, business and policy oriented decision making is geographical in nature. These spatial data require a structured approach to their management if the maximum benefit is to be derived from their analysis and dissemination. This course provides a solid introduction to the issues concerning the management of spatial information.

 
Location

 Cranfield Campus

Course fee:

 

  • £1400 - Standard. 20% discount for Cranfield alumni, 10% discount for colleagues of alumni
  • £1340 - Professional/trade association discount
  • £1280 - Multiple bookings* 
*Minimum of five delegates.

Accommodation fee:

 Not included in the price

Speakers
How to register

 

To request a place on this course, please complete the online Registration Form. 

 

If you have any queries please contact:

Academic Operations Unit.

Cranfield University
Cranfield
Bedfordshire
MK43 0AL, UK


T: +44 (0) 1234 754176
E: shortcourse@cranfield.ac.uk
F: +44 (0) 1234 751206

Please be aware that short courses/CPD are subject to:

Booking Conditions

Course description

  • Introduction and overview of spatial data management
  • Database structures – ordered and indexed lists, hierarchical, network, relational, object oriented. Hybrid structure
  • Metadata – standards and practice, creation, maintenance, distribution, control.
  • Systems analysis and analysis approaches – methods for designing computerised spatial systems
  • Object orientation – theory and practice
  • Data formats, interoperability and handling of geographic data
  • INSPIRE and the Spatial Data Infrastructure
  • Client server database management systems – Postgres/PostGIS and SQL.

On completion of this course you will be able to:

  1. Design and build appropriate database structures for GIS analysis using a Geodatabase.
  2. Manipulate data within and between a range of database management systems.
  3. Appreciate the application of systems analysis methodologies to spatial data.
  4. Appreciate role of the INSPIRE Directive for driving interoperability between spatial data infrastructures.
  5. Establish and use protocols for data and metadata management.
  6. Practical experience with a range of industry-standard database systems, data and GIS tools.

 
School of Applied Sciences

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