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Geospatial Share

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Our mission is to build a supportive and inclusive community where students, researchers, and professionals can grow their geospatial skills together. 🌱

We run monthly skill sharing tutorial sessions where a member of our community teaches us something they have learned along the way.

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Upcoming Workshop

Working with Animal Tracking Data - Thursday, May 23rd (2-4pm AEST)

What: Working with Animal Tracking Data

Who: Scott Forrest, PhD Candidate, QUT

When: May 23rd, 2-4pm

Where: Hybrid on Teams (see calendar invitation) and QUT Gardens Point R310, see map, 3rd floor left at the top of the stairs

Animal GPS tracking data is a rich source of information to understand animal species, and has provided countless behavioural and ecological insights. Animal-mounted GPS devices are also becoming cheaper and more technologically advanced, leading to more animal-tracking studies collecting a higher quantity of data. Movebank, an open-access repository of animal GPS tracking data, currently has over 6 billion animal locations of 200,000 animals from 1,383 species, and over 11 million locations are being added every day. Processing animal movement data can also be challenging - animal movement data is spatially and temporally autocorrelated, locations can be irregular and often fail to be recorded, and there can be known or unknown biases which should be considered. Due to, and in spite of these complexities, numerous approaches have been developed that fall under the umbrella of ‘movement ecology’, which can be divided into broad categories such as space use, resource selection, and behavioural classification. In this workshop I’ll provide an overview of popular methods in the ‘movement ecologist toolbox’, and we will work through practical examples using R and open-access data. No previous experience with animal GPS tracking data is necessary.

Software Requirements

If you would like to follow along please download the R programming language and RStudio before the session. We will be using the amt, lubridate, raster, terra, beepr, tictoc, jtools, and patchwork R packages if you would like to install these packages beforehand.

Last Post

All Posts

Date Title
May 16, 2024 Working with Animal Tracking Data

May 13, 2024 May Newsletter | Upcoming workshop: Animal tracking with Scott Forrest

Feb 22, 2024 February Newsletter | Drop-in session soon! Tell us what you need help with

Dec 23, 2023 December Newsletter | End of Year re-cap
Oct 1, 2023 October Newsletter | Drop-in help virtual help session | Workshop: Large raster manipulation
Sep 30, 2023 Creating inset maps using ‘tmap’

Sep 1, 2023 September Newsletter | Spatial Autocorrelation | Drop-in help session | Upcoming training
Aug 1, 2023 August Newsletter | Upcoming workshop: Spatial High Performance Computing | In-person catch-up | Geospatial conferences
Jul 4, 2023 July Newsletter | Learn Google Earth Engine this month
Jun 3, 2023 Extracting spatial data from web map servers in R
Jun 1, 2023 June Newsletter | Drop-in sessions | More Python this month
May 16, 2023 Newsletter | Python + Folium | Help Sessions are Back!
Apr 12, 2023 Newsletter | April Workshop Rasters and Random Forests
Mar 23, 2023 R Spatial Basics
Mar 22, 2023 Community groups for Continuing Professional Development
Mar 10, 2023 Newsletter | R spatial basics | How to measure area | Survey results

Figure 1. Note This image is borrowed from here

Feb 5, 2023 Calculating areas with vector and raster data in R
A red, google style location pin with a bush turkey inside. The logo of the Geospatial Community. Jan 22, 2023 Newsletter | Happy New Year! | February meet-up | R Training

Nov 3, 2022 Build a blog with Quarto, Git, and RStudio
Sep 9, 2022 Newsletter | Climate data blog post + problem solving session + conference in Fiji + more

Sep 1, 2022 Analysing Climate data with R
Aug 16, 2022 Newsletter | Analysing climate data with R + Interactive Maps + AEO Forum + more.
Jul 20, 2022 Interactive mapping with RShiny
Jul 14, 2022 Newsletter | Mapping interactively + R for ecologists + Data wrangling + more.

Jul 7, 2022 Problem Solving Session II
May 26, 2022 Problem Solving Session I

Apr 25, 2022 Cloud computing with Open Data Cube and Python
Mar 31, 2022 Introduction to tidy spatial networks
Feb 24, 2022 Basic Raster Analysis with R
Nov 23, 2021 How to contribute a post (using blogdown on our old site)

Oct 28, 2021 Creating a geospatial blog with blogdown (on our old site)
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