Geographical Information Systems and Modelling

Code

200094

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Weekly hours

2.0

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

This curricular unit aims to provide the concepts needed for modelling spatial explicit processes. The course begins with an introduction to system analysis that gives the basis for conceptualizing and designing models of real processes. Logical models, or rule-based models, are presented. Dinamic models, that integrate time, area also explored (agent-based and cellular automata models). Finally, models for studying ecosystem services are discussed.

Prerequisites

None.

Subject matter

Module 1: Introduction to modelling.
Module  2: Rule-based models.
Module 3: Dynamic models.
Module  4: Ecosystem service models.

Bibliography

GIS, Spatial Analysis, and Modeling, Eds. by Michael Batty, David Maguire, Michael Goodchild, Esri Press (2005)

Teaching method

Sinchronous sessions and email support. Exercises. Project implementation. The final project theme is selected by the student.

Evaluation method

Final project: 55%
Exam: 30%
1 exercise: 15%
Virtual campus: up to 2.5% bonus (maximum 2 courses)
Progression exams (-5% for each incomplete exam)
 

Courses

• Marketing Intelligence
• Risk Analysis and Management
• Knowledge Management and Business Intelligence
• PostGraduate Information Systems and Technologies Management
• PostGraduate in Information Management and Business Intelligence in Healthcare
• PostGraduate in Intelligence Management and Security
• PostGraduate in Marketing Intelligence
• PostGraduate in Enterprise Information Systems
• Marketing and Research and CRM
• PostGraduate in Information Analysis and Management
• PostGraduate Risk Analysis and Management
• Information Systems and Technologies Management
• PostGraduate in Knowledge Management and Business Intelligence
• PostGraduate Marketing Research e CRM
• PostGraduate Digital Marketing and Analytics
• PostGraduate in Geographic Information Systems and Science
• Master of Geographic Information Systems and Science
• Information Analysis and Management