Universidad de Jaén

Lesson 1. Models in experimental sciences and geomatics.

Introduction. Geographic space and knowledge. Geographic analysis. Properties and methods. Concept of territory. Territory as a system. Structure of the territorial system. Geomatics as an instrument of territorial analysis. Spatial information sources. Processing of spatial information. Expression of spatial information. Application of spatial information.

Lesson 2. Spatial data processing. Geostatistical models.

Geomatics as a basic element in natural resources modeling. Data capture in natural resource modeling projects. Geostatistical modeling of natural resources. Environmental monitoring. Regionalized Variable Theory. Spatial continuity analysis. Spatial inference. Stochastic simulation.

Lesson 3. Examples of modeling projects in natural resources.

Examples. Data to be considered and data processing. Applications in photogrammetry, topography and LiDAR. Risk management. Modeling and management of natural resources

Lesson 4. Hazard, risk and catastrophe concepts. Risk assessment.

Concepts and terminology. Hazard, risk and catastrophe. Prediction and prevention. Hazards classification. Impact of hazards. Hazard processes. Processes related to internal dynamics: seismic and volcanic. Processes associated with external dynamics: landslides, erosion, flooding. Hazards and risk assessment. Hazard and risk mapping.

Lesson 5. Hazard and catastrophe management.

Hazard and risk management. Hazards cycle. Preparation for processes. Early warning systems. Crisis response. Civil protection. Intelligent systems for crisis management. Real-time evacuation and management plans. Measures for recovery.

Lesson 6. Geospatial platforms for crisis management.

Data and models in crisis management. Data capture for crisis management. Sensors. Data types. Operational data models. Models for navigation and evacuation. Spatial decision support systems (SDSS). Map mashups, testimonial services and demand for response.

Practices:

Practice 1. Application of geostatistical methods.

Practice 2. Examples of risk analysis and assessment: seismic and landslide hazards and risks.

Practice 3. Example of navigation in a crisis scenario. Navigation with obstacles.

Practice 4. Fieldtrip for observation of processes associated to external geodynamics: landslides and erosive processes. Integral management of processes.

The theory classes will be developed through keynote expositions of the theoretical concepts of the subject, in a participative environment, with presentation of applications and examples.

The practice classes will allow the accomplishment of exercises on natural resources and hazards, in a computer classroom and by means of GIS and specific software for modelling.

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

With the theory exam, the competences CB6, CB7, CB9, CG1IGEO, CG2IGEO, CG3IGEO, CG4IGEO, CT1, CT2, CT5, E06MIGEO, E07MIGEO, E09MIGEO are evaluated.

Results RB6, RB7a, RG1IGEO, RG2IGEO, RG3IGEO, RG4IGEO, RT1, RT2, RT5, RE06MIGEO, RE07MIGEO, RE09MIGEO.

With the accomplishment of practices, the competences CB6, CB7, CB9, CB10, CG1IGEO, CG2IGEO, CG3IGEO, CT1, CT2, CT4, CT5, E06MIGEO, E07MIGEO, E09MIGEO, E10MIGEO are evaluated.

Results: RB6, RB7a, RB7b, RB7c, RB10, RG1IGEO, RG3IGEO, RT1, RT2, RT4, RT5, RE06MIGEO, RE07MIGEO, RE09MIGEO, RE10MIGEO.

With the attendance and participation, the competences CB7, CB9, CG1IGEO, CG4IGEO, CT4, CT5, E06MIGEO.

Results: RB7a, RB9, RG1IGEO, RG4IGEO, RT4, RT5, RE06MIGEO.

To pass the subject will be necessary to pass the theory exam and the practical work of the subject, independently.

The final score of the subject will be calculated taking into account the weighting of each of the parts (theory and practices).