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  2. GIS Courses

Fundamentals of GIS ( ITM 521 )

An introduction to Geographic Information System (GIS) theory and practice. Basic concepts and issues in GIS are presented in both a formal and a practical setting. The course provides a general exposure to GIS, its applications, algorithms and general methodology. The major components of a GIS, the functionality of these components, and the interrelationship between GIS and other sciences and technologies are also discussed. A state of the art of GIS will be used to carry out practical assignments concerned with basic data entry and database building, data analysis and modelling, cartographic production and data transfer.

A. Introduction

  1. What is GIS?
  2. Maps and map analysis
  3. Introduction to hardware/software

B. A first view of GIS

  1. Raster GIS
  2. Raster GIS capabilities

C. Data acquisition

  1. Sampling the world
  2. Data input
  3. Socio-economic data
  4. Environment data

D. Spatial databases

  1. Models of reality
  2. Spatial objects and database models
  3. Relationships among spatial objects

E. Vector view of GIS

  1. Vector GIS
  2. Vector GIS capabilities

F. Using the GIS

  1. Spatial analysis
  2. Output
  3. Graphic output design issues
  4. Modes of user/GIS interaction
  5. Generating complex products
  6. HIS for archives

G. Past, present and future

  1. Raster/vector debate
  2. Object/layer debate
  3. History of GIS
  4. GIS marketplace
  5. Trends in GIS

H. Coordinate systems & geocoding

  1. Common coordinate systems
  2. Map projections
  3. Affine & curvilinear transformations
  4. Discrete georeferencing

I. Visualization

  1. Visualization of spatial data
  2. Color theory

Lectures/Assistants : Royal Roads, COGS, IPB

Information System & Technology ( ITM 522)

The course begins with a general survey of different kinds of information systems, and then considers database management systems in particular. The general discussion of DBMS will include such topics as entity-relationship diagrams, normalization and data modelling, or object-oriented design. Following this, the application development process will be investigated including requirement analysis, design, and implementation. Students will create working prototypes using the Oracle relational database management system, supporting SQL standard. Finally, GIS/RS will be investigated as information systems in their own right. In this regard, we will consider database building, continous and vertical databases, and entity versus layer data organizations.

Lectures/Assistants : Royal Roads, COGS, IPB

GIS and Remote Sensing Application ( ITM 523 )

This course will cover the design, sensor specification and utility of passive and active airborne and spaceborne remote sensing systems that have earth resources observation as their primary operating objective. Specification of Landsat and SPOT and Radar satellites, the quality of their imagery, format, correction, interpretation, and applications to various disciplines will be discussed. The coverage of other spaceborne systems includes meteorological satellites, ocean dynamics measuring satellites, the space shuttle, and the space station. Sensor specifications and applications of airborne scanner systems, such as the emerging high resolution satellites, airborne multispectral component includes the examination and digital image processing of the above imagery. This course also includes a case study based on GPS Application

A. GIS application areas

  1. GIS application areas
  2. Resource management applications
  3. Demographic and network applications

B. Decision-making in a GIS context

  1. Multiple criteria methods
  2. Location-allocation on networks
  3. Spatial decision support systems

C. System planning

  1. System planning overview
  2. Functional requirements analysis
  3. System evaluation
  4. Benchmarking
  5. Pilot project
  6. Cost and benefits

D. System implementation

  1. Database creation
  2. Implementation issues
  3. Implementation strategies for large organization

E. Other issues

  1. GIS standards
  2. Legal issues
  3. Development of a national GIS policy
  4. GIS and global sciences
  5. GIS and spatial cognition
  6. Knowledge based techniques
  7. The future of GIS

Lectures/Assistants : Royal Roads, COGS, IPB

Advanced GIS ( ITM 524 )

Carrying on from the first semester course on fundamentals of GIS (ITM 521), this course will address a number of advanced issues in GIS technology. Topics may include digital elevation and 3D display, network allocation and routing, raster data modelling and image integration, coordinate geometry, and large continuous database management. The course will also deal with an in depth use of fourth generation language programming for custom application development.

Analytical and modelling aspect of GIS will be the focus of this option with emphasis on database development, including digital data transfer from GIS and remotely sensed data. Analytic topics include area calculation and cross tabulations, proximity analysis, trend surface analysis, adjacency, neighborhood and others. Modelling topics include simple map overlays, complex multiple map overlays, and intervisibility and 3D display, with advanced techniques using weighted criteria by the Boolean, index, and fuzzy logic methods.

A. Data structures & algorithms for surfaces, volumes & time

  1. Digital elevation models
  2. TIN data model
  3. Spatial interpolation I
  4. Spatial interpolation II
  5. Temporal and 3D databases

B. Visualization

  1. Visualization of spatial data
  2. Color theory

Lectures/Assistants : Royal Roads, COGS, IPB

Spatial Database Management ( ITM 625 )

A. Vector data structures & algorithms

  1. Storage of complex spatial objects
  2. Storage of lines: chain code
  3. Simple algorithm I – line intersection
  4. Simple algorithm II – polygons
  5. Polygon overlay operation

B. Raster data structures & algorithms

  1. Raster storage
  2. Hierarchical data structures
  3. Quadtree algorithms and spatial indexes

C. Databases for GIS

  1. Database concepts I
  2. Database concepts II

D. Error modeling & data uncertainty

  1. Accuracy of spatial databases
  2. Managing error
  3. Fractals
  4. Line generalization

This course includes case study based (e.g. Bakosurtanal and issues on metadata, accuracy and standard).

Lectures/Assistants : Royal Roads, COGS, IPB


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Last Update : Monday, June 22, 1998 Copyright 1998 SEAMEO BIOTROP