Collection and Data Analysis in Natural Resources

It is not mandatory, but it might help if students had some minimal knowledge of using excel, essential knowledge of statistics, and of using GIS software.

1) theoretical-practical classes, 2) practical work carried out using statistical software (SPSS) and ArcGis or QGis. The framework of the use of time in this CU establishes that the student will have to develop independent work (with the guidance of the teacher(s)), which is materialized in a semester project (practical component).

The objectives of the course unit are to acquire 3 fundamental skills: 1 – Knows and applies the sampling methods most commonly used in forest, floristic and faunal inventories in relation to the forest space; 2 – Knows and applies methods of parametric, nonparametric and multivariate statistics for the treatment of data; 3 – Applies the knowledge acquired in a concrete exercise in the field, integrating the various types of inventory, produces a report with the results of this exercise.

The course contents for the acquisition of the 3 skills are as follows:

1.1) Introduction to methods of data collection and of data analysis in forest stands;

1.2) Study of the relationship between biotic data sets and environmental factors;

2.1) Introduction to multidimensional data analysis

2.2) Study of the association and correlation of variables;

2.3) Investigation of spatial patterns;

3.1) Study of methodologies for biotic resources assessment, namely forest resources;

3.2) Estimation of population size and its parameters;

3.3) Study and analysis of biological and environmental indices;

NAO

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