DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2016-12-16 - Colloque/Présentation - poster - Anglais - 1 page(s)

Watlet Arnaud, Triantafyllou Antoine, Bastin Christophe , "Learning GIS and exploring geolocated data with the all-in-one Geolokit toolbox for Google Earth" in AGU Fall Meeting 2016, San Francisco, Etats-Unis, 2016

  • Codes CREF : Géologie (DI1411)
  • Unités de recherche UMONS : Géologie fondamentale et appliquée (F401)

Abstract(s) :

(Anglais) GIS software are today’s essential tools to gather and visualize geological data, to apply spatial and temporal analysis and finally, to create and share interactive maps for further investigations in geosciences. Such skills are especially essential to learn for students who go through fieldtrips, samples collections or field experiments. However, time is generally missing to teach in detail all the aspects of visualizing geolocated geoscientific data. For these purposes, we developed Geolokit: a lightweight freeware dedicated to geodata visualization and written in Python, a high-level, cross-platform programming language. Geolokit software is accessible through a graphical user interface, designed to run in parallel with Google Earth, benefitting from the numerous interactive capabilities. It is designed as a very user-friendly toolbox that allows ‘geo-users’ to import their raw data (e.g. GPS, sample locations, structural data, field pictures, maps), to use fast data analysis tools and to visualize these into the Google Earth environment using KML code; with no require of third party software, except Google Earth itself. Geolokit comes with a large number of geosciences labels, symbols, colours and placemarks and is applicable to display several types of geolocated data, including: 1. Multi-points datasets 2. Automatically computed contours of multi-points datasets via several interpolation methods 3. Discrete planar and linear structural geology data in 2D or 3D supporting large range of structures input format 4. Clustered stereonets and rose diagrams 5. 2D cross-sections as vertical sections 6. Georeferenced maps and grids with user defined coordinates 7. Field pictures using either geo-tracking metadata from a camera built-in GPS module, or the same-day track of an external GPS In the end, Geolokit is helpful for quickly visualizing and exploring data without losing too much time in the numerous capabilities of GIS software suites. We are looking for students and teachers to discover all the functionalities of Geolokit. As this project is under development and planned to be open source, we are definitely looking to discussions regarding particular needs or ideas, and to contributions in the Geolokit project.