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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dobrecky, Leticia;

    Diccionario de Datos que corresponde al dataset "censo-1914-bibliotecas". En este material se documenta el proceso de preparación de los datos sobre las bibliotecas extraídos del Tercer Censo Nacional de la Argentina levantado el 1º de junio de 1914.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Other ORP type . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Other ORP type . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other ORP type . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Other ORP type . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Julian, Laabs; Brozio, Jan Piet; Kneisel, Jutta; Schaefer-Di Maida, Stefanie; +3 Authors

    This is the supplementary material of the paper “Perspectives on Socio-environmental Transformations in Ancient Europe” (DOI: https://doi.org/10.1007/978-3-031-53314-3_5). Please consult the publication for in depth description of the data, its context and for the method applied on the data, as well as references to primary sources. Requirements to be installed to run the scripts: Python 3 (https://www.python.org/) with the packages numpy (https://numpy.org/), pandas (https://pandas.pydata.org/), matplotlib (https://matplotlib.org/), seaborn (https://seaborn.pydata.org/), sklearn (https://scikit-learn.org/stable/) and scipy (https://scipy.org/); all included in Ancaonda (Python-Distribution, https://www.anaconda.com/). R (https://cran.r-project.org/) with the packages here (https://cran.r-project.org/web/packages/here/index.html) and rcarbon (https://cran.r-project.org/web/packages/rcarbon/index.html). 

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Other ORP type . 2024
    License: CC BY
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other ORP type . 2024
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kubiak-Schneider, Aleksandra;

    This image presents the model of the database and cross-referencing the datasets. 

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Model . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Model . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Model . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Model . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Haas, Jan;

    The aim of this tutorial is to familiarize the user with the concept of landscape metrics (LM) and their capacity as landscape descriptors in an archaeological context. The tutorial provides a detailed method for applying LM to remote sensing data in archaeological studies using QGIS and Fragstats. It begins with instructions on installing these essential tools and proceeds to guide users through visualizing both classification and original images in QGIS. The tutorial then moves to image filtering in QGIS. This refined data is then imported into Fragstats for in-depth analysis using nine metrics at class and landscape levels. The tutorial exemplifies how the results can be interpreted, helping users understand each metric's significance in an archaeological context. Metrics like the Landscape Patch Index and Edge Density are explained in terms of their utility for understanding distribution density of archaeological sites, settlement patterns, and interactions between land uses in historical settings. Additionally, the tutorial offers a background on the importance of LM in landscape ecology, stressing their role in assessing biodiversity, habitat fragmentation, and human activity impacts. It also touches on the innovative application of these metrics in archaeology, highlighting the potential to significantly enhance understanding of anthropological and historical landscapes. Overall, this tutorial aims to be a resource for archaeologists and researchers, combining practical analytical steps with theoretical insights. It ensures users not only execute the analysis correctly but also comprehend the implications of their findings in archaeological research.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Haas, Jan;

    This tutorial is aimed at providing the user with knowledge and practical skills on satellite image acquisition, pre-processing and export for purposes within landscape archaeology. The methodological steps might vary depending on the satellite sensor. The processing steps described in this tutorial are developed and showcased for two satellite types that are actively run by the European Space Agency (ESA), i.e., Sentinel-1 (SAR) and Sentinel-2 (MSI). The tutorial makes use of ESA’s Sentinels Application Platform SNAP toolbox. All data and software are free of charge. After completing this tutorial, the user should be able to find, download and pre-process spaceborne SAR and multispectral data from two popular Earth Observation satellites. The user should have gained some basic understanding of the steps needed to prepare satellite data for analysis, have attained some familiarity with SNAP and should be able to produce a GeotTIFF image that can further be used for landscape archaeological applications, e.g., visual image interpretation, image classification, derivation of a variety of indices or change detection.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Haas, Jan;

    This tutorial introduces the analyst to Object-Based Image Analysis (OBIA) using ESA Sentinel-1/2 fused data. OBIA involves that pixels are aggregated into groups (segments) with similar spectral or spatial properties. Instead of classifying each pixel individually, the segments are used for classification instead. Apart from image pre-processing and image processing steps alongside accuracy assessment that are described in the tutorials Satellite image processing and Pixel-based supervised image classification, this tutorial focuses on image segmentation and classification. The tutorial is based on remotely sensed data that was created in the tutorial Satellite image processing. After completing this tutorial, the user should be able to derive land use/land cover (LULC) information from satellite data using an OBIA approach. The tutorial is based on straight-forward user-friendly solutions using free and open-source software (QGIS and ORFEO ToolBox).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    InteractiveResource . 2024
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    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      InteractiveResource . 2024
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      Data sources: Datacite
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    Authors: Rastinger, Nina Claudia;

    Der Vortrag gibt erste Einblicke in das von der Stadt Wien geförderte Forschungsprojekt „Wiens ‚Merkwürdigkeiten‘ – DeepMapping frühneuzeitlicher Reisehandbücher“, im Rahmen dessen historische Raumwahrnehmungen aus dem 18. und frühen 19. Jahrhundert mithilfe digitaler Methoden neu beleuchtet werden. Hierfür wird auf mehrere Ansätze und Tools zurückgegriffen, unter denen im Vortrag insbesondere die Layoutanalyse und Volltextdigitalisierung über die Transkriptionsplattform Transkribus, die Erkennung benannter Entitäten über diverse NER-Modelle und die räumliche Darstellung und Analyse über die Open-Source-Software QGIS diskutiert werden sollen. In Kombination erlauben diese Verfahren die erstmalige strukturelle und inhaltliche Erschließung ausgewählter Reisehandbücher und Kuriositätenlexika Wiens – und versprechen, insbesondere durch die Gegenüberstellung der verschiedenen Werke, neue Erkenntnisse über die diachrone Wahrnehmung und Geschichte der Stadt.

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    ZENODO
    InteractiveResource . 2024
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    InteractiveResource . 2024
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      ZENODO
      InteractiveResource . 2024
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      ZENODO
      InteractiveResource . 2024
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This repository contains notebooks that allow the reproduction of experiments from the article Intrinsic shape analysis in archaeology: A case study on ancient sundials. This work was carried out as part of the Math+ project EF2-3 "Spline Models for Shape Trajectory Analysis." The underlying methodological building blocks are part of the Morphomatics library.

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    ZENODO
    Software . 2024
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    Software . 2024
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    ZENODO
    Software . 2024
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    Authors: OKR Team;

    The code in this repository can be used to reproduce the renaming procedure described in Brezine, Clindaniel, Ghezzi, Hyland and Medrano (2024) "A New Naming Convention for Andean Khipus."

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    Authors: Rinne, Christoph;

    Diese Tutorial führt in die CAD-Software BricsCAD (Ultimate ver. 22) der Firma Bricsys ein. Ultimate steht hier für alles in einem Programm: 2D, 3D, Mechanical, BIM. Hier werden bestimmte Aufgabenbereiche und Arbeitsabläufe gezielt gefördert. Das Tutorial orientiert sich an einem entsprechenden Dokument für AutoCAD ver. 2018. Damit ergeben sich 1. ggf. Unterschiede in der Herangehensweise und Arbeitsweise gegenüber einem direkten Einstieg in BricsCAD und in der Konsequenz 2. einige Anmerkungen für Umsteiger von AutoCAD, wobei mein Vergleich die Ver. 2010 ist.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dobrecky, Leticia;

    Diccionario de Datos que corresponde al dataset "censo-1914-bibliotecas". En este material se documenta el proceso de preparación de los datos sobre las bibliotecas extraídos del Tercer Censo Nacional de la Argentina levantado el 1º de junio de 1914.

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    Authors: Julian, Laabs; Brozio, Jan Piet; Kneisel, Jutta; Schaefer-Di Maida, Stefanie; +3 Authors

    This is the supplementary material of the paper “Perspectives on Socio-environmental Transformations in Ancient Europe” (DOI: https://doi.org/10.1007/978-3-031-53314-3_5). Please consult the publication for in depth description of the data, its context and for the method applied on the data, as well as references to primary sources. Requirements to be installed to run the scripts: Python 3 (https://www.python.org/) with the packages numpy (https://numpy.org/), pandas (https://pandas.pydata.org/), matplotlib (https://matplotlib.org/), seaborn (https://seaborn.pydata.org/), sklearn (https://scikit-learn.org/stable/) and scipy (https://scipy.org/); all included in Ancaonda (Python-Distribution, https://www.anaconda.com/). R (https://cran.r-project.org/) with the packages here (https://cran.r-project.org/web/packages/here/index.html) and rcarbon (https://cran.r-project.org/web/packages/rcarbon/index.html). 

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    Authors: Kubiak-Schneider, Aleksandra;

    This image presents the model of the database and cross-referencing the datasets. 

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    Authors: Haas, Jan;

    The aim of this tutorial is to familiarize the user with the concept of landscape metrics (LM) and their capacity as landscape descriptors in an archaeological context. The tutorial provides a detailed method for applying LM to remote sensing data in archaeological studies using QGIS and Fragstats. It begins with instructions on installing these essential tools and proceeds to guide users through visualizing both classification and original images in QGIS. The tutorial then moves to image filtering in QGIS. This refined data is then imported into Fragstats for in-depth analysis using nine metrics at class and landscape levels. The tutorial exemplifies how the results can be interpreted, helping users understand each metric's significance in an archaeological context. Metrics like the Landscape Patch Index and Edge Density are explained in terms of their utility for understanding distribution density of archaeological sites, settlement patterns, and interactions between land uses in historical settings. Additionally, the tutorial offers a background on the importance of LM in landscape ecology, stressing their role in assessing biodiversity, habitat fragmentation, and human activity impacts. It also touches on the innovative application of these metrics in archaeology, highlighting the potential to significantly enhance understanding of anthropological and historical landscapes. Overall, this tutorial aims to be a resource for archaeologists and researchers, combining practical analytical steps with theoretical insights. It ensures users not only execute the analysis correctly but also comprehend the implications of their findings in archaeological research.

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    Authors: Haas, Jan;

    This tutorial is aimed at providing the user with knowledge and practical skills on satellite image acquisition, pre-processing and export for purposes within landscape archaeology. The methodological steps might vary depending on the satellite sensor. The processing steps described in this tutorial are developed and showcased for two satellite types that are actively run by the European Space Agency (ESA), i.e., Sentinel-1 (SAR) and Sentinel-2 (MSI). The tutorial makes use of ESA’s Sentinels Application Platform SNAP toolbox. All data and software are free of charge. After completing this tutorial, the user should be able to find, download and pre-process spaceborne SAR and multispectral data from two popular Earth Observation satellites. The user should have gained some basic understanding of the steps needed to prepare satellite data for analysis, have attained some familiarity with SNAP and should be able to produce a GeotTIFF image that can further be used for landscape archaeological applications, e.g., visual image interpretation, image classification, derivation of a variety of indices or change detection.

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    Authors: Haas, Jan;

    This tutorial introduces the analyst to Object-Based Image Analysis (OBIA) using ESA Sentinel-1/2 fused data. OBIA involves that pixels are aggregated into groups (segments) with similar spectral or spatial properties. Instead of classifying each pixel individually, the segments are used for classification instead. Apart from image pre-processing and image processing steps alongside accuracy assessment that are described in the tutorials Satellite image processing and Pixel-based supervised image classification, this tutorial focuses on image segmentation and classification. The tutorial is based on remotely sensed data that was created in the tutorial Satellite image processing. After completing this tutorial, the user should be able to derive land use/land cover (LULC) information from satellite data using an OBIA approach. The tutorial is based on straight-forward user-friendly solutions using free and open-source software (QGIS and ORFEO ToolBox).

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    Authors: Rastinger, Nina Claudia;

    Der Vortrag gibt erste Einblicke in das von der Stadt Wien geförderte Forschungsprojekt „Wiens ‚Merkwürdigkeiten‘ – DeepMapping frühneuzeitlicher Reisehandbücher“, im Rahmen dessen historische Raumwahrnehmungen aus dem 18. und frühen 19. Jahrhundert mithilfe digitaler Methoden neu beleuchtet werden. Hierfür wird auf mehrere Ansätze und Tools zurückgegriffen, unter denen im Vortrag insbesondere die Layoutanalyse und Volltextdigitalisierung über die Transkriptionsplattform Transkribus, die Erkennung benannter Entitäten über diverse NER-Modelle und die räumliche Darstellung und Analyse über die Open-Source-Software QGIS diskutiert werden sollen. In Kombination erlauben diese Verfahren die erstmalige strukturelle und inhaltliche Erschließung ausgewählter Reisehandbücher und Kuriositätenlexika Wiens – und versprechen, insbesondere durch die Gegenüberstellung der verschiedenen Werke, neue Erkenntnisse über die diachrone Wahrnehmung und Geschichte der Stadt.

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    This repository contains notebooks that allow the reproduction of experiments from the article Intrinsic shape analysis in archaeology: A case study on ancient sundials. This work was carried out as part of the Math+ project EF2-3 "Spline Models for Shape Trajectory Analysis." The underlying methodological building blocks are part of the Morphomatics library.

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    Authors: OKR Team;

    The code in this repository can be used to reproduce the renaming procedure described in Brezine, Clindaniel, Ghezzi, Hyland and Medrano (2024) "A New Naming Convention for Andean Khipus."

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    Authors: Rinne, Christoph;

    Diese Tutorial führt in die CAD-Software BricsCAD (Ultimate ver. 22) der Firma Bricsys ein. Ultimate steht hier für alles in einem Programm: 2D, 3D, Mechanical, BIM. Hier werden bestimmte Aufgabenbereiche und Arbeitsabläufe gezielt gefördert. Das Tutorial orientiert sich an einem entsprechenden Dokument für AutoCAD ver. 2018. Damit ergeben sich 1. ggf. Unterschiede in der Herangehensweise und Arbeitsweise gegenüber einem direkten Einstieg in BricsCAD und in der Konsequenz 2. einige Anmerkungen für Umsteiger von AutoCAD, wobei mein Vergleich die Ver. 2010 ist.

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