After our workshops in the Western Cape and Arusha earlier this year, many conservation organisations and individuals asked us to bring our Google Geo tool workshops to more areas. So today we’re very excited to announce that we will be running two sets of workshops to Johannesburg in November, this time in collaboration with the Endangered Wildlife Trust.
To ensure that we can accommodate as many conservation scientists, managers, communicators and other practitioners, we will run two sets of workshops, one from the 14th to the 16th and the second from the 17th to the 19thof November. Not a GIS expert or tech wiz? No problem! All you need is a laptop, willingness to learn and a need to visualise your work.
The three day workshops will run from the EWT head offices in Modderfontein, Johannesburg and will focus on using Google’s mapping technology and it’s applications in conservation. We will also introduce you to MAPA’s searchable map of African conservation and show you how to use it for your benefit. The workshop will be very practical and interactive and, on the third day, participants will have the opportunity to design and work on their own maps and visualisations.
Interested? Then head over to our workshop site to get your application in and find out more about the topics that we’ll be covering in the trainings. Hurry – applications close on the 14th of October!
In many conservation research and management projects, practitioners follow animals to see how they use the landscape. This sort of information is usually collected by researchers following their study species with a GPS unit/field data kit or by GPS collars and tags attached to individual animals.
In this blog post, the next in a series on Google Geo tools to complement our workshops, we skim the surface on how to visualise these sorts of data with Google Earth (mostly). We cover both data that comes in a GPS file format (e.g. .gpx files) and data that, as is typically the case with collars and tags, are in tabular format (e.g. .csv or .xls files).
What’s so great about animal movement data in Google Earth?
We follow animals to understand how they interact with and move through their environment. The data collected for this inherently comprise both spatial and temporal information – information that can be used to faithfully reconstruct a particular animals’ movement behavior in Google Earth – a virtual representation of that animal’s environment. The result? Very powerful visualisations that can help researchers, managers and other stakeholders better understand movement of individuals and populations and hence allow them to make more informed conservation decisions.
Google Earth and spatiotemporal data
When you open a file in Google Earth which contains features that have time associated with them (as time-stamps or time spans), it will automatically recognise this time element and bring up the time-slider (shown below).
You can read more about the time-slider, one of the tools you can use in Google Earth to animate data, in this Google Earth user-guide article. In short – the time-slider picks up the earliest and latest date/time associated with your data and then runs through segments of that time line, as defined by the two grey arms on the slider. Google Earth will show the selection of features that has time-spans/stamps that fall within the time-segment that the slider is highlighting at any given time.
Tracks in Google Earth
When you’re following a study species in the field, you’re probably not only collecting waypoints, but also tracks (read this article for more on how to record tracks on your GPS unit and mobile smartphones for use in Google Earth). A track comprises both time-stamped points (so you can animate segments of it at a time) and a line element (so you can fly along it). Although they are made up of points, tracks only have one placemark associated with the entire line. You can customise your track with an icon or even a 3D model, and Google Earth will move that icon/model through the landscape in the same way your followed animal did.
A great feature to help you understand how your study animal moved across the landscape is the ability to show the elevation profile of your track (right click on the track and select “elevation profile”). This will not only profile the landscape, but will also allow you to view other information (like speed, as in the baboon track example shown below) at any point across that journey.
Data from a GPS are really easy to import into Google Earth, but often times, especially with collars and GPS tags, the data comes in a tabular format, not as a GPS file. These data are a little trickier to get into Google Earth, especially if you want to animate your points. They’re also more difficult to turn into tracks, although you can do this in GIS packages (see this post for a great example), using conversion packages like GPS Visualizer (though this doesn’t produce great results in our experience) or by changing the KML code directly. Once your data have been imported into Google Earth, you can view and visualise it in the same way as for the GPS files.
We’ll focus the rest of the post on importing and animating points in a tabular format:
Importing and animating your tabular data
There are a number of tools you could use to get your tabular GPS data in Google Earth – different ones are better depending on how much data you have and what it is you would like to visualise (you can always mix and match!). By no means an exhaustive list, here are a few options:
Whilst Spreadsheet mapper doesn’t have as many options for data management, manipulation and visualisation as Fusion Tables, and only allows for import of 400 data points at a time, it does, like Fusion Tables allow users to create attractive information bubbles for points. Unlike Fusion Tables, it also allows you to specify time stamps against points, which means that you can animate your data in Google Earth.
We used spreadsheet mapper to create an animation of shark dorsal IDs that were recorded through a summer off Gansbaai, South Africa. For this project, the researcher both wanted to get an idea of overall movement of known sharks through time, as well as be able to view specific information about individual sharks in the pop-up windows. You can read the case study for this project here.
Option 4: GPS Babel and GPS Visualizer
GPS BabelandGPS Visualizer are free online tools that allow you to convert various formats of GPS, text and KML files into each other. Both allow several different options for customising waypoints and are also great for combining multiple tracks into a single one (something you can also do in the KML code). They’re not the best options if you’re looking to make attractive information bubbles, though. With both these tools, converting a tabular dataset into a GPS or KML file is mostly as simple as uploading a file and pressing a button, but it is worth reading through this help article to get an idea of what is possible and to ensure that your data are in the right format.
There are GIS packages and many other online applications that can help you get your GPS track into Google Earth – here is a list of more tools if you’re interested in exploring further and/or the above don’t meet your needs. Most GPS management software applications (like MapSource) also offer the option for manipulating GPS data and exporting it to Google Earth, although it’s sometimes better to use the saved GPS files from these applications and add it to Google Earth yourself. The trick is to find what works best for you!
In addition to GPS units, many of you use field data kits like CyberTracker or Open Data Kit for Android. For FDKs like CyberTracker you can visualise your resultant data in the same way you would other GPS files and tabular data, as described in this post. ODK offers some great options for visualising field data and is well integrated with Fusion tables. You can get started with ODK in this Google Earth Outreach tutorial.
A real-life example of tabular tracking data:
The data below is a sample of data collected by Alison Kock of the Save our Seas foundation. Alison and her colleagues manually tracked a great white shark over an afternoon and a morning in December 2009. Alison is interested in (amongst other things) how sharks move in False Bay in different seasons. In winter, sharks typically spend more time closer to the middle of the bay at Seal Island, hunting seals, whilst in summer, many spend more time inshore. What do they get up to there? Well, sometimes, as this track shows, not all that much….
This dataset was in a tabular format, so before we could see it in Google Earth, we had to turn it into a GPS file first. We were really only interested in visualising the movement of the shark through time, so we used GPS Babel to convert our .csv file into a .gpx file and opened this in Google Earth. We also subsequently went into the KML code to turn the points into a track (the track is not included in the animation below, but you can download it here).
When we opened our .gpx file in Google Earth, it recognised the time stamps in our file and brought up the time-slider, which we used animate our points and track. Although this made sense to us, replaying the track in this way didn’t tell that much of a story without the context of time, scale and place. So we created a Google Earth tour to guide the narrative of our simple data story. We then made a video of that tour (shown below), so we could share it on this website and for Alison to use in presentations. We also uploaded the Google Earth tour we made (download it here for best viewing) to her project bubble on the MAPA Google Earth layer.
Remember that you can associate any KML or KMZ files with your project on the MAPA layer and/or embed YouTube videos in your project bubble. Simply log into your account, open your project, and upload your file. You can add YouTube videos by clicking on the Video tab, pasting the video embed code and associating that with your project.
We hope this post gives you some ideas for your GPS data – let us know what you come up with and don’t forget to upload it to your project bubble!
This week he put up some images from Matusadona National Park in Zimbabwe. These photos were taken by Willem Coetsee and the Radley family. These guys really struggled in the mud for MAPA covering the Eastern Caprivi, southern Zambia and northern Zimbabwe just before the rainy season – actually the rainy season did catch up with them…..
Download the whole MAPA layer for Google Earth here and navigate to Matusadona, or download this small file and just Matusadona National Park will open up on Google Earth. When you expand the park bubble, remember to click on “Click here to see more detail….” to see the slideshow!
Spring has set in in the southern hemisphere and here at MAPA we’re suitably excited about some budding new developments. Here is our latest newsletter:
A searchable map of conservation actions and areas in Africa
In our ongoing quest to make conservation more visible and accessible, we set ourselves the task this year to, amongst other things, make it easier to find information about protected areas and conservation projects in Africa. We also wanted to find more ways that conservation scientists and practitioners could use the MAPA project database and conservation map for their own benefit.
We’ll tell you more about the map and how you can use it for your organisation or project in a separate blog post, but, in the meantime, don’t be shy to share your thoughts and suggestions. We take these very seriously and consider each and every one!
Adding projects just got a little easier
The map of African conservation is only ever going to be as useful as the contribution from the conservation community is strong. We’ve tried to make it intuitive and easy to add a project, but we also know that a little guidance can go a long way. If you want to add your project, but you’re unsure about how to go about it, have a look at this video, and look out for more help material and tips coming your way in the coming month.
It’s so much easier to communicate conservation challenges and efforts when one has a visual representation of the environmental context within with these take place. Here at MAPA we’re very fond of Google’s Geo tools not only because it provides just such a visual platform, but also because it comes with really easy-to-use tools that can be used to add other layers and perspectives to that platform to guide understanding about pressing issues and activities. Our map is one such annotation, but there are also many other ways that these tools could be utilised to make conservation more visible.
For this reason we decided to compliment what we do with the MAPA database and map with hands-on Google Geo tools workshops for conservation practitioners. Not only do these workshops offer us an opportunity to connect and collaborate with the scientists, managers and environmentalists that look after Africa’s priceless natural heritage, but they allow us a way to help visualise conservation far beyond what we can do with our map alone. And they also happen to be quite fun.
After a fortnight of slightly experimental and (we think) successful workshops in Cape Town and Stellenbosch earlier this year, we found ourselves travelling to Arusha, Tanzania in June to run more of these trainings as a side-event to the ATBC/SCB Africa conference. Read more about our time in Tanzania and, if you reside in the northern regions of South Africa, look out for an announcement later this month …
Google Geo tools series
In the short time that we’ve been running Google Geo tools workshops, we’ve picked up on particular topics that a lot of participants have an interest in or difficulty with, and as part of an effort to follow up with these participants, we’ve started a new (more or less) fortnightly series on our blog.
We’re no longer driving around Africa’s protected areas, but we do still have plenty of memories to share. We add new albums to our Facebook page from time to time and we’ve been adding slideshows to various protected areas on our Google Earth/browser-based map, which we’ve started to highlight on our blog.
Richard Hugo getting some high-tech directions in Angola
To celebrate the end of our mapping expeditions we’ve put together a bumper slideshow of some of our volunteering adventures from across the continent. We leave you with these memories until next quarter!
This week he put up some images from Kafue National Park in Zambia. These photos were taken by volunteers Andy Welch and Geoff Jones while they were travelling in the little known, southern portion of this massive park – one of the largest in Southern Africa. We will add some images from the better known northern circuit in due course.
Andy and Geoff live in Zambia and we were lucky to have their local contacts when they ran into mechanical problems in the heart of Kafue.
Zambia is a fantastic country to travel in overland, with no shortage of really wild big game experiences.
Download the whole MAPA layer for Google Earth here and navigate to Kafue, or download this small file and just Kafue National Park will open up on Google Earth. When you expand the park bubble, remember to click on “Click here to see more detail….” to see the slideshow!