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wiki:content_of_the_course [2017/12/05 22:53] (current)
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 +====== COURSE OUTLINE ======
  
 +==== Course Presentation ====
 +  - [[http://​www.spatial-ecology.net/​ost4sem/​lecture/​introduction_matera_1_2016.pdf| Getting to know each other]]: trainers and student'​s background
 +  - Identifying student'​s needs
 +  - Course objectives and schedule
 +
 +==== The Open Source tools ====
 +  - Linux environment
 +  - Why and what to use 
 +  - Introducing the Ubuntu virtual machine
 +\\
 +
 +==== Lectures ====
 +  - Basic modeling concepts and procedures in ecology
 +  - Introduction to Spatial ecological modelling
 +  - Models examples: nonparametric algorithms, ensemble classifiers,​ machine learning techniques
 +  - Forest habitat suitability modelling
 +  - Forest fire danger forecast model
 +\\
 +
 +==== UNIX/LINUX Bash programming ====
 +  - Why to use Unix/Linux command line
 +  - The basic commands
 +  - Command syntax
 +  - File management
 +  - Read and explore a text file
 +  - Metacharacters and their use
 +  - Concatenate process
 +  - The use of variable
 +  - The for loop
 +  - Case study and exercises
 +\\
 +
 +==== AWK Programming language ====
 +  - Why to use AWK command line
 +  - The basic commands, command syntax
 +  - Built-in variables
 +  - Import variables
 +  - String functions
 +  - Numerical functions
 +  - Query functions
 +  - Manipulating large files before importing in R
 +  - Case study and exercises
 +\\
 +
 +==== GNUPLOT ====
 +  - Why to use GNUPLOT command line
 +  - Commands syntax
 +  - Plotting data
 +  - Using AWK language inside GNUPLOT
 +  - Case study and exercises
 +\\
 +
 +==== Geotools ====
 +  - Introduction to GDAL/OGR, Pk-tools, Openforis
 +  - Command syntax
 +  - Raster data manipulation
 +  - Built up specific geotools
 +  - Case study and exercises
 +  \\
 +
 +==== R environment for statistical analysis and graphics ====
 +  - Introduction to R environment ​
 +  - R structure, libraries, scripting and getting help
 +  - Command syntax, R objects
 +  - Basic commands (input, output, data creation)
 +  - Data manipulation
 +  - Plotting data and graphical parameters
 +  - Programming (functions, if and ifelse condition, for loop, while, system variable)
 +  - Spatial and ecological modelling libraries
 +  - Basic statistics
 +  - A linear model and stepwise regression
 +  - More complex algorithms (Classification and Regression Tree / Random Forest)
 +  - Importing geodata
 +  - Model prediction
 +  - Exporting the data
 +  - Case study and exercises
 +\\
 +
 +==== Quantum GIS ====
 +  - Introduction to Quantum gis
 +  - Import and export data
 +  - Data visualization and map creation
 +  - Qgis as Gui to GRASS and as a learning tool
 +\\
 +
 +==== GRASS Geographical Resources Analysis Support System ====
 +  - Introduction to GRASS
 +  - Data structure in GRASS
 +  - Command syntax and general commands of data handling
 +  - Raster and vector data import, export, display and conversion
 +  - Raster map calculator
 +  - Vector manipulation and processing
 +  - GRASS / Qgis interface
 +  - Scripting in GRASS: combine BASH commands with GRASS commands
 +  - Environment variables and their importance for shell scripting
 +  - Case study and exercises
 +\\
wiki/content_of_the_course.txt ยท Last modified: 2017/12/05 22:53 (external edit)