Marine GIS and spatial planning

Semester 1

Semester 2

Semester 3

Semester 4

ECTS
3

FUNDAMENTALS


Ghent University, Université de Bretagne Occidentale, University of Algarve, University of Oviedo

Content

Introduction to maps and GIS
- Basic cartographic notions
- Map viewers vs. GIS software
Data
- Data structure, types
- Data sources
- Remote sensing servers
Layers
- Common vector operations. Data tables
- Common raster operations
- Map calculators (algebra)
- Interpolation
- Overlays between discrete (vectors) and surface (raster) layers
Intro and overview of satellite remote sensing
- Ocean color
- Infrared sensors and sSST [restricted now to Ocean Color datasets]
Case studies and interfacing GIS and R: spatial patterns, basic habitat modeling (within GIS software), home-ranges, etc.
- Spatial planning
- Coastal Zone: planning and integrated management
- The coastal zone. Problems and risks
- Elements of spatial planning
- The general model. Phases: planning, diagnosis, implementing and evaluation
- Coastal zone management in the European Union: policy and laws
- The Mediterranean Protocol
- The green book on Maritime Policy
- Examples and case studies

Pre-requisites

Basic understanding of major abiotic and biotic variables in marine science. Basic understanding of the dynamics of marine ecosystems. User-level ease with computers. Basic knowledge of data processing and analysis.

Aims

Competence and autonomy with data types and availability in GIS and remote sensing. Understanding of tools and algorithms common to most software in the field. Understanding of the main tools in spatial planning; coordination and decision in practical case studies

Objectives

Students shall get enough understanding of the rationale, techniques and software tools as to use them in the respective master projects, as well as to boost self-learning afterwards.

Key skills acquired

- Data search and retrieval
- Relevance of each type of data and their combinations to the specific nature and spatial scale of marine questions
- Ability and autonomy using algorithms to perform spatial analyses

Assessment

Computer-based exam, including short questions on concepts and practical exercises. Students can use all their course materials and the Internet during the exam. The grades will be quantitative; one third of the marks would be based on short, concept questions, and two-thirds would be based on practical exercises

Involved teachers

Mario Quevedo UniOvi José Paulo Monteiro UALG

Contact hours

lectures
12

practicals

seminars

computerclass
36

fieldwork

other