Universidad de Jaén

Theme 1. Spatial Information and Natural Resources Modelling.

1.1 Introduction

1.2 Geographical space and its knowledge

1.3 Geographical analysis. Characteristics and Methods.

1.4 Concept to territory. The territory as system.

1.5 Structure of the territorial system.

1.6 Geomatics as territorial analysis instrument.

1.7 Spatial information sources.

1.8 Information processing.

1.9 Representation of spatial information.

1.10 Use of spatial information.

Theme 2. Geomatics as basic element in the Natural Resources Modelling Processes.

2.1 The concept of Digital Earth. Spatial correlation principle.

2.2 The scale problem.

2.3 Data capture in natural resources modelling projects. Photogrammetric and LiDAR methodologies application. 

2.4 Data processing.

2.5 Information extraction. OBIA, OBPCA and Data Fusion.

2.6 Decision making.

2.7 Examples.

Theme 3. Geostatistical modelling of natural resources.

3.1 Environmental monitoring.

3.2 Regionalized Variable Theory. The information and support effects using the RVT.

3.3 Spatial Continuity Analysis.

3.4 Spatial Inference. Estimation.

3.5 Spatial Inference of Extreme Values. The local incertainty concept.

3.6 Stochastic Simulation.

3.7 Practices of geostatistical methodology application. GeoMS2 Software.

Lectures will involve:

- Theoretical lessons by means of master classes with student participation.

- Practice lessons based on the presentation of different projects based in the application of geomatics techniques for the natural resources modelization. In these examples, the data available, the data treatment and results will be analyzed.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

The applied evaluation system aims to check the correct acquisition of learning outcomes by students as well as the relevant powers. Specific learning outcomes R42, R43, R44 are considered (in the test of theoretical concepts as those concerning the practical assumptions), and the following skills:
Test of theoretical concepts: CB8, CB9, CB10, CE6, CE13, CE14, CT1, CT2, CT5, CT7.
Proof of practical cases: CB6, CB7, CB9, CB10, CE6, CE13, CE14, CT1, CT2, CT3, CT5, CT7, CT8.

The assessment has three parts: attendance, theory+exercises and practice. 

Attendance: attendance will be controlled both at theory and practice lessons. It is required at least a minimum of 70% attendance.

Theory+exercises: written exam which includes the theoretical and practice contents of the subject and some exercises or problems.

Practice: the assessment is based on the submission of the projects and exercises made during the practice lessons and the actual own-developed project.

The final mark will be the weighted average of the three parts(attendance, exam and practice), being the weights 0.05, 0.30 and 0.65, respectively.

In order to pass the subject, it is necessary to get at least 5.0 (5.0 out of 10) in both theory+exercises and practice parts.