1. Home
  2. NOVA Information Management School
  3. Master of Geographic Information Systems and Science
  4. Spatial Data Analysis and Visualization

Spatial Data Analysis and Visualization

Objectives

The goal of this course is to introduce students to principles and methods of geographic information systems (GIS). Throughout the course, students will get acquainted with geographic information tools and techniques which are available for applications in research, industry and government. The practical component of the course is based on ESRI software although the use of other tools is also encouraged.

General characterization

Code

200220

Credits

7.5

Responsible teacher

Pedro da Costa Brito Cabral

Hours

Weekly - Available soon

Total - Available soon

Teaching language

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

Prerequisites

None.

Bibliography

Xuan Zhu, 2016. ¿GIS for Environmental Applications: A practical Approach¿, Routledge

 

Allen, 2013. "GIS Tutorial 2: Spatial Analysis Workbook Edition 3" (arcgis10.1) ESRI Press, Redlands California, 408 p. ISBN: 9781589483378ESRI

 

Mitchell, 2001. "The ESRI Guide to GIS Analysis, Volume 1: Geographic Patterns and Relationships," Environmental Systems Research Institute, Inc., Redland California, 190 p. ISBN: 9781879102064

 

Mitchell, 2005. "The ESRI Guide to GIS Analysis: Volume 2: Spatial Measurements & Statistics," Environmental Systems Research Institute, Inc., Redland California, 252 p. ISBN: 9781589481169

 

Longley, P. A., Goodchild, M. F., Maguire, D., & Rhind, D. W., 2005. Geographic Information Systems and Science (2 ed.). Chichester: John Wiley & Sons

 

Smith, M. J., Goodchild, M. F., & Longley, P. A. (2007). Geospatial Analysis - The comprehensive independent guide to principles, techniques & software tools.

 

Sommer, S., & Wade, T. (2006). A to Z GIS - An illustrated dictionary of geographic information systems (2 ed.). Redlands, CA: ESRI Press.

Teaching method

The curricular unit is based on theoretical lectures and practical application of methods using software applications, such as ArcGIS. A variety of instructional strategies will be applied, including lectures, slideshow demonstrations, step-by-step tutorials on using the tools and techniques in the ArcGIS software, questions and answers. The practical component is geared towards solving problems and exercises, including discussion and interpretation of results.

 

Evaluation method

Evaluation:

1. GIS Exercise.

2. Project plan.

3. Exam.

4. GIS application project presentation.

5. GIS application project report.

6. Up to 2 ESRI Virtual Campus courses.

Subject matter

LU1. Introduction to GIS

LU2. Spatial data and data management

LU3. Spatial data input and manipulation

LU4. Spatial analysis

LU5. Spatial statistics

LU6. Terrain analysis

LU7. Spatial visualization

LU8. Spatial decision analysis and modelling

LU9. WebGIS and GIS as a service

LU10. GIS Applications