Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment
Agenda

Summer Course: Animal Movement Analysis

Date: 05 July 2015 - 10 July 2015
Location: Amsterdam

SCGE-2015 (Summer Course Computational Geo-Ecology) this year targets Animal Movement Analysis and aims to provide students with skills to assist them in working with animal movement data including data management and organization, working with large tracking datasets, data exploration, visualization and analysis of movement data.

Summer course description

The course content is relevant for students studying movement in a broad range of taxa and environments, however there is an emphasis on birds in the guest lectures and the course exercises (based on an existing set of bird tracking data). Students will learn about the strengths and weaknesses of different tracking technologies for diverse taxa in terrestrial and marine environments. The course will combine several guest lectures by international experts in different fields of animal movement research, field experiments, student presentations and predominantly hands-on computer work. During the course different software packages will be used with most of the work conducted in R, and students will learn some basic programming skills and database skills. Course participants are expected to familiarize themselves with R before the beginning of the course, and materials for self-tuition will be provided in advance. Participants will be provided with course data sets for analysis.

Target group The target group of this course is scientists at the PhD level, with a background in ecology, however MSc students and Postdocs or other researchers interested in attending are welcome to contact us. The course is limited to a maximum of 35 participants. In case of too many applications, candidates will be selected according to the following criteria (a.) scientific motivation and research topic(s), (b.) time of application, and (c.) geographic distribution. Application must be sent before 1 May 2015. Participation in the course will be confirmed by 15 May 2015.

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