In this tutorial we will learn how to run some basic spatial analyses based on maximum likelihood tracks, probability surfaces and simulated fishing effort data (kernel densities).
This tutorial illustrates how to create an abacus plot from raw acoustic detections from and array of several Vemco VR2W acoustic receivers.
In this tutorial we will learn how to simulate depth time series data from a template data set.
In this tutorial we will learn how to quantify deep dives from depth temperature time series data.
In part 2 of the RchivalTag tutorial series, we learned already different ways to visualize depth time series data. In this tutorial, we will address how to illustrate the data in local time (other time zones).
In this fourth part of the RchivalTag tutorial series, we will learn how to explore geolocation estimates and related likelihood areas from pop-up archival tags.
In this third part of the RchivalTag tutorial series, we will learn how to explore PAT-Style depth temperature profiles, a special data product of (pop-up) archival tags from Wildlife Computers to analyze the thermal structure of the water column that requires far less ARGOS transmissions than temperature time series data.
In this second part of the RchivalTag tutorial series, we will learn how to read, analyze and visualize depth and temperature time series data.
In this first part of the RchivalTag tutorial series, we will learn how to read, merge, analyze and visualize Time-at-Depth & Time-at-Temperature frequency data.
In this second oceanmap tutorial we will learn how to map and analyze spatial oceanographic (remote sensing) data.
In this first oceanmap tutorial we will learn different ways to plot or add landmasks to existing figures.