Course – 1st Edition
Virtual Reconstruction of Archaeological Sites Using GIS
March 18th-22nd, 2019, Crete (Greece)
Palaeontology and Archaeology
Introduction to Statistical Analysis in Palaeontology and Archaeology
8th-12th of March, 2021 (ONLINE)
REGISTRATION IS CLOSED
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Course Overview
Any archaeological excavation necessitates the destruction of the site where it operates, eliminating the stratigraphical record in the process, and thus the possibility to review the archaeological context. This course focuses on methodologies on how to reduce that damage, while also providing new tools for archaeological research and dissemination.
The course teaches participants how to employ 3D virtualization for archaeological sites. Participants will learn how to apply GIS technology and operate different relevant 3D software (e.g. OpenJUMP, QGIS, GvSIG, Meshlab and Paraview).
The course aims to equip participants with the skills to employ and adapt virtual reconstruction methodologies to their own needs. To facilitate this aim, the course includes practical sessions working with concrete issues to provide first-hand experience in real-life cases.
Requirements
Graduate or postgraduate degree in History, Anthropology, Archeology or any other Life or Earth Sciences.
Participants should bring their own personal laptop (Windows, Mac, Linux) with the following software installed: OpenJUMP, QGIS, GvSIG, Meshlab, Paraview, R.
Although the instructors will provide different working databases, participants are encouraged to bring their own.
Contact
LOCATION
DATE
March 18th-22nd, 2019
LANGUAGE
English
COURSE LENGTH & ECTS
35 hours on-site.
This course is equivalent to 2 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.
The recognition of ECTS by other institutions depends on each university or school.
PLACES
Places are limited to 20 participants and will be occupied by strict registration order. If the course fills up there will be an assistant instructor to help during the practise time.
Participants who have completed the course will receive a certificate at the end of it.
Dr. Agustín Diez-Castillo
Universitat de València
Spain
Alfredo Cortell-Nicolau
Universitat de València
Spain
Dr. Salvador Pardo-Gordó
Universitat Autònoma de Barcelona
Spain
Program
Daily Program
Monday, March 18th, 2019. Learning about GIS.
- Morning:
- Introduction to GIS.
- Open software: An open debate.
- Basic GIS skills I. Map presentations.
- Basic GIS skills II. Georreferencing.
- Afternoon:
- Practice: Creating a map with a chosen GIS.
- Practice: Georreferencing with a chosen GIS.
Tuesday, March 19th, 2019. Applying GIS to 3D reconstruction I.
- Morning:
- GIS databases and file formats.
- Databases and file formats: The z coordinate.
- Working with vector layers.
- Afternoon:
- Preparing 3D inputs I: Reconstructing a layer, including polygons, findings and labelling.
- Preparing 3D inputs II: Reconstructing a layer from a given image. Orthophotos and georreferencing.
Wednesday, March 20th, 2019. Applying GIS to 3D reconstruction II.
- Morning:
- 3D databases and file formats.
- Introduction to 3D ambiences: Meshlab.
- Introduction to 3D ambiences: Paraview.
- Introduction to 3D ambiences: Photoscan.
- Afternoon:
- Preparing 3D outputs I: Building layers and preparing its 3D visualization.
- Preparing 3D outputs II: Inserting findings and preparing its 3D visualization.
Thursday, March 21st, 2019. Fieldwork. 3D working with real examples.
- Morning:
- Gathering 3D information processes in a real site.
- Afternoon:
- Processing real archaeological information I: Targets and anchorage points.
- Processing real archaeological information II: common problems.
Friday, March 22nd, 2019. R.
- Morning:
- Translating the real world into the virtual world: The local coordinate system.
- Final Project I: Creating a 3D model from a real site.
- Final Project II: Inserting stratigraphic layers into the 3D model.
- Final Project III: Inserting findings into the 3D model.
- Afternoon:
- Final Project IV: Optimizing visualization.
- Final Project V: 3D data analysis.
Fees
- Course Fee
- Early bird (until April 30th, 2020):
- 296 € *
(238.8 € for Ambassador Institutions) - Regular (after April 30th, 2020):
- 370 € *
(296 € for Ambassador Institutions) - This includes the course material (VAT included).
* Participants from companies/industry will have an extra charge of 100 €.
You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com
Schedule
Monday to Friday:
- 9:30 to 13:30 Lessons.
- 13:30 to 15:00 Lunch (included).
- 15:00 to 18:00 Lessons.
The schedule is approximate; it is possible that the content of one day may run into the next and a working day may be longer than advertised.
Funding
Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact courses@transmittingscience.com).
5 % Discount
Former participants will have a 5 % discount on the Course Fee.
20 % Discount
20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
40 % Discount
Unemployed scientists living in the country were the course will be held, as well as PhD students based in that country without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.
Related Courses
Transmitting Science started in 2012 to manage specialized courses and workshops we were already organizing within our own partnerships. Up to date, we have already run more than 120 advanced courses in different topics related to Life Sciences.
All the courses are self-financed with participant’s fees and we strive to keep the fees to the minimum necessary for running them.
Our courses cover a wide range of research methods and are aimed at postgraduate students, postdoctoral researchers and established academics from all over the world.
