The Digital Archaeology Working Group is a network for Archon members interested in computational archaeology. In this, we are actively collaborating with the Digital Archaeology Group (FB) at Leiden University, and with CAA-NL/FL, the Dutch-Flemish chapter of CAA International.
On this page, we will post announcements about events and other relevant news about digital applications in archaeology. Furthermore, we will organise events specifically for the Archon membership.
News
The annual Computer Applications in Archaeology Conference CAA2021 will be held online, on 14-18 June 2021. More information can be found on the conference website.
Events organised by the Digital Archaeology Group in Leiden can be found here. (Please note that due to COVID-19 we are currently organising events online)
Jobs
—
Archon events
We have the following Archon events lined up for the academic year 2020-2021:
Winter School ‘Shared Practices: Archaeological visualisation methods in the Netherlands’
Data management for Archaeologists (PhD workshop)
https://www.archonline.nl/wp-content/uploads/2018/05/archonline-logo-lc-2.svg00Marcus Elsendoornhttps://www.archonline.nl/wp-content/uploads/2018/05/archonline-logo-lc-2.svgMarcus Elsendoorn2019-08-23 13:57:132021-11-18 09:59:01Digital Archaeology Working Group
Credits: 1 EC Date: You can do the course online at your own pace.
We are now offering a new online course on statistical analysis for archaeologists using R. Anyone can take the course, but we can only award EC credits to ARCHON members.
The course consists of two parts, that can be accessed here:
To get the credits, take the tests provided and send an R script with the results to secretary@archonline.nl.
IMPORTANT – before you start:
In order to do the course, you need to install RStudio and get familiar with its basic functions. An introductory Prezi is available to guide you through the first steps: https://prezi.com/view/doVKu74Vst9JjIYcGWAe.
About the course:
Part 1 treats the basics of data manipulation in R, and teaches you how to make simple visualisations from a list of numerical data. The purpose of this tutorial is to provide a relatively gentle introduction to R for working with archaeological datasets.
The purpose of part 2 is to extend the application of R from basic data analysis and visualisation to formal statistical testing. In this tutorial, we will treat the following statistical testing methods:
Credits: 1 EC Date: You can do the course online at your own pace.
About the course:
This course is for students looking for insight into the application of Geographical Information Systems with archaeological fieldwork and analysis as well as students and archaeologist who wish to broaden their knowledge of QGIS. The course will provide an introduction to the QGIS user interface and terminology, preparing a screen layout, managing data and layering a map. In addition, you will be trained in importing data to QGIS and connecting the data to database table queries as well as analyzing spatial information. The use of legends, grids and exporting layouts of the database will also be covered.
The course can be found here on Youtube. The title is QGIS 3.4 Introductory Course 2020. The course was developed for ARCHON by Jitte Waagen. The course consists of 4 videos.
Please pay attention: QGIS is available for Mac, but the course is based on the Windows version.
Credits:
We are offering the QGIS course online. Anyone can take the course, but we can only award EC credits to ARCHON members.
To get the credits you need to take the QGIS course from home and hand in a written report in which you discuss what you have learned in every module. Include screenshots of your work. Also, include how you would like to or could use QGIS in your own research.
Digital Archaeology Working Group
/in Digital Archaeology Working Group /by Marcus ElsendoornDigital Archaeology Working Group
The Digital Archaeology Working Group is a network for Archon members interested in computational archaeology. In this, we are actively collaborating with the Digital Archaeology Group (FB) at Leiden University, and with CAA-NL/FL, the Dutch-Flemish chapter of CAA International.
On this page, we will post announcements about events and other relevant news about digital applications in archaeology. Furthermore, we will organise events specifically for the Archon membership.
News
The annual Computer Applications in Archaeology Conference CAA2021 will be held online, on 14-18 June 2021. More information can be found on the conference website.
Events organised by the Digital Archaeology Group in Leiden can be found here. (Please note that due to COVID-19 we are currently organising events online)
Jobs
—
Archon events
We have the following Archon events lined up for the academic year 2020-2021:
Skills Course Structure From Motion
GIS seminar 2020
Winter School ‘Shared Practices: Archaeological visualisation methods in the Netherlands’
Data management for Archaeologists (PhD workshop)
Rchon statistics course
/in Continuous courses, Digital Archaeology Working Group /by adminOnline Rchon statistics course
Credits: 1 EC
Date: You can do the course online at your own pace.
We are now offering a new online course on statistical analysis for archaeologists using R. Anyone can take the course, but we can only award EC credits to ARCHON members.
The course consists of two parts, that can be accessed here:
Part 1: https://zenodo.org/record/4094686#.YSz2JPfitPY
Part 2: https://zenodo.org/record/5155471#.YSz2P_fitPY
To get the credits, take the tests provided and send an R script with the results to secretary@archonline.nl.
IMPORTANT – before you start:
In order to do the course, you need to install RStudio and get familiar with its basic functions. An introductory Prezi is available to guide you through the first steps: https://prezi.com/view/doVKu74Vst9JjIYcGWAe.
About the course:
Part 1 treats the basics of data manipulation in R, and teaches you how to make simple visualisations from a list of numerical data. The purpose of this tutorial is to provide a relatively gentle introduction to R for working with archaeological datasets.
The purpose of part 2 is to extend the application of R from basic data analysis and visualisation to formal statistical testing. In this tutorial, we will treat the following statistical testing methods:
Online ARCHON QGIS course
/in Continuous courses, Digital Archaeology Working Group /by adminOnline ARCHON QGIS course
Credits: 1 EC
Date: You can do the course online at your own pace.
About the course:
This course is for students looking for insight into the application of Geographical Information Systems with archaeological fieldwork and analysis as well as students and archaeologist who wish to broaden their knowledge of QGIS. The course will provide an introduction to the QGIS user interface and terminology, preparing a screen layout, managing data and layering a map. In addition, you will be trained in importing data to QGIS and connecting the data to database table queries as well as analyzing spatial information. The use of legends, grids and exporting layouts of the database will also be covered.
IMPORTANT – software:
QGIS can be freely downloaded, but make sure you get either the long term stable release 3.4 or 3.10: https://www.qgis.org/nl/site/forusers/download.html.
The course can be found here on Youtube. The title is QGIS 3.4 Introductory Course 2020. The course was developed for ARCHON by Jitte Waagen. The course consists of 4 videos.
To take the course you need to download the demo data from https://surfdrive.surf.nl/files/index.php/s/lAamiYIjybxckrF. This is provided by Gemeente Nijmegen, Bureau Archeologie en Monumenten.
Please pay attention: QGIS is available for Mac, but the course is based on the Windows version.
Credits:
We are offering the QGIS course online. Anyone can take the course, but we can only award EC credits to ARCHON members.
To get the credits you need to take the QGIS course from home and hand in a written report in which you discuss what you have learned in every module. Include screenshots of your work. Also, include how you would like to or could use QGIS in your own research.
TIP: save your work in QGIS often 😉