AMoveE 2014: Tal Avgar (tutorial)
Channel: Movebank
Date: 15/05/2014

This tutorial was presented by Tal Avgar on 5 May 2014 as part of the Symposium on Animal Movement and the Environment, held at the North Carolina Museum of Natural Sciences in Raleigh, NC.

Avgar T, 2014, "Inferring sensory and memory capacities based on telemetry and environmental data"

Abstract: What does a moving animal know about its surroundings at any given point in space and time? The answer to this challenging question may often be critical to our understanding and interpretation of animal movement and resource selection patterns. In this tutorial I will present a modeling framework designed to evaluate the likelihood of alternative processes of movement, perception, memory, and decision making, based on readily available positional data and environmental metrics. The model is based on a flexible cognitive algorithm that provides the framework for an adaptive movement kernel. This enables a straightforward, likelihood-based methodology for estimating key parameters for sensory perception, memory and movement while providing testable predictions of animal resource selection and space use patterns.