GpsPruneĮasy to use java program (made by this website ) for viewing, editing and converting GPS data, showing your GPS tracks in 2d using openstreetmap or in 3d, and drawing charts. Most of these concentrate on manipulating the data after it has been recorded, rather than working with live data. These are applications for editing, viewing or converting coordinate data from GPS receivers. Some are gratis but closed-source, and some require payment to work properly. Most of the software here is gratis, free and open source, and these are marked with the symbol (free). A mention here isn't necessarily a recommendation, but a starting point. A nice simple solution.The following are links to other software and websites which have some relation to GPS systems, coordinates, mapping, exif and other good stuff. csv input file to generate other output files suitable for upload to our other gps units. gdb file in Garmin’s MapSource and upload it to the gps. One of the nice features of GPSBabel is that it will open your data in Google Maps after the conversion, which provides a nice check that everything has worked how you expected.įrom here, I can open the. Select the appropriate output format (I’ve been mostly using Garmin MapSource – gdb), name the output file and hit apply. Open GPSBabel and set the input file to your newly formatted csv file, setting the format to Universal csv with field structure in the first line.ģ. So the top few rows of my file look something like this, where name represents the nest tag number and comment is the band number of the associated bird. Open the text file in Excel (or your favourite spreadsheet program), rename the data columns using the appropriate keywords from the GPSBabel documentation (there are many more keywords listed online) and save as a. Converting spatial data from text file to gdbġ. It took me a wee while to navigate my way around and figure out what I needed to do but now that I have figured it out, it is a very simple process using the Universal CSV option. So I was pleased to discover GPSBabel, a free piece of software for converting gps data between multiple formats. And then convert this file to the appropriate file types needed for each of our gps units. My goal was to find an efficient way of creating a file where the waypoints are labelled by nest number and the band number of the associated bird listed in the comments so we could cross-reference and make sure we were reading the poopy nest tag correctly. Which means converting our basic text file into multiple formats, which can be a trying exercise. Our biggest problem is sharing data between multiple researchers in the field who use different gps units. Our nest location data is entered manually from the gps into a FoxPro database (not the most efficient system) and then can be extracted again as a text file. Note the yellow nest tag in front of the nest already partially covered in poo. So we quite often need to use a gps to find and identify which nest we are looking at.Ī banded Adelie penguin with a satellite tag that it will wear for one foraging trip of 1-3 days. This is a great system except that the band numbers are not the same as the numbers on the tags and you can’t read the tags after a few weeks anyway as they get covered in penguin poo. Part of this work involves monitoring the nests of banded birds, where each nest is labelled with a numbered tag. I’m currently working with Adélie penguins at Cape Bird on Ross Island in Antarctica. So I welcome your comments and suggestions. This is partly for my own benefit, so I don’t have to reinvent the wheel every time I do something, but it would also be great to get feedback from those out in the blogosphere. So I’m going to try and document some of my own solutions here. One of the best ways I have found for navigating my way through this minefield has been drawing on the expertise of others, particularly blog posts where people have outlined potential solutions. One of the problems with spatial data is the myriad of formats that it comes in and the intricacies of trying to read it into the variety of hardware and software available to use it. I work a lot with spatial data which is great but it means I spend a lot of time cursing at my computer.
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