Home / Higher education / Short courses / GIS TOOLS FOR ECOLOGISTS (22-26 FEBRUARY 2010/01-05 MARCH) 1st Edition
GIS TOOLS FOR ECOLOGISTS (22-26 FEBRUARY 2010/01-05 MARCH) 1st Edition

Isaac Pozo Ortego

Rui Nabeiro - Biodiversity Chair

University of Évora

DATE: 22-26 February 2010

SCHEDULE: 20 hours; 4 hours/day sessions organised by slots of 1 hour each; between 09:00-13:00.

VENUE: Colégio do Espírito Santo, Universidade de Évora, Largo dos Colegiais, Évora, Portugal

COST: Students 75 € Non students100 €

NUMBER OF PARTICIPANTS: up to 30

LANGUAGE: English/Spanish

REGISTRATION: Closed

PAYMENT: The payment should be executed before 12 of February. Payment is required to registration confirmation.

Payment form: Bank Transfer to

NIB: 003300000020800699505 (Millennium BCP)

IBAN: PT50 003300000020800699505

Swift: BCOMPTPL

OBJECTIVES -Studying applications of the Geographical Information Systems in ecology. Description of the main GIS tools used in ecology and their practical application.

CONTENTS

Data acquisition and descriptive techniques: In this module we'll analyze the available data sources for ecology, and the use of these variables to describe the environment.

Interpolations: Assuming that all the field data is taken in specific locations; in this module we'll study how to interpolate the field data correctly. The main goal is to obtain a good coverage of the variables in the territory.

Spatial analysis: In this module we'll analyze the main geographic analysis techniques. Ex. Geographic distances, optimal paths, etc.

Network analysis: In this module we'll analyse the tools for studding ecological networks. Ex. Identifying critical nodes, connectivity, etc.

Ecological modelling: We'll study the role of geographical information systems in ecological modelling. Ex. Data preparation and modelling.

Geo-Statistics: In this module we'll study the statistics methods that describe the geographic relationships between the variables.

Remote sensing: In this module we'll study the possibilities of using remote sensing data in ecology. Ex. Crops identification, land use, etc.