1,721,001 research outputs found
Stimulus Data for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"
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We compare how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three groups is shown map transitions in one map projection: Mercator, azimuthal equidistant projection, or two-point equidistant projection. The distances of the start and end point are varied. Map transitions zoom out and pan towards the middle point, then zoom in and continue panning, following the recommendations by Van Wijk and Nuij (IEEE InfoVis, 2003). We measure response time and accuracy in the task. We evaluate the results by the sample means per participant, using interval estimation with 95% confidence intervals. We construct the confidence intervals by using BCa bootstrapping.
The study is pre-registered on OSF.io, but due to file size limitations, we were not able to submit the video stimuli there.
Instead, we provide them here.
This repository contains the MPEG-4 video files that were shown to the participants in the videos/ folder.
These are numbered from 0 to 1199 for each of the three map projections, which are also stated in the file name, for a total of 3,600 video stimuli.
An additional 3×6 example stimuli are also included.
For each video stimulus, a JSON file with the same prefix file name (projection + number) is located in the metadata/ folder.
These files contain the ground truth metadata for the respective stimulus.
The stimuli shown for teaching the participants the task are located with the same structure under the examples/ folder.
The entire source code for the study is also available in the related publication.
The related repository includes:
The code for generating the individual PNG frames, and JSON metadata, for each stimulus.
The server and front-end code for the online study itself.
The Python and R code for evaluating the study results.
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Source code for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"
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This repository contains the source code related to an OSF pre-registration for an online study.
The goal of the study was to evaluate how well participants can determine the geographical direction of an animated map transition.
In our between-subject online study, each of three groups is shown map transitions in one map projection:
Mercator, azimuthal equidistant projection, or two-point equidistant projection.
The distances of the start and end point are varied.
Map transitions zoom out and pan towards the middle point, then zoom in and continue panning, following the recommendations by Van Wijk and Nuij (IEEE InfoVis, 2003).
We measure response time and accuracy in the task.
We evaluate the results by the sample means per participant, using interval estimation with 95% confidence intervals.
We construct the confidence intervals by using BCa bootstrapping.
This repository contains the entire code for the study.
The various folders also contain README Markdown files that explain the components and how they are to be used.
The npm and Python version dependencies are listed below under Research Software Metadata, the versions of package dependencies are provided via the lockfiles (stimuliCreation/package.json, online-study/package.json, and online-study-flask-server-main/pyproject.toml).
The folders are:
assignment/:
Python script to randomly distribute and assign the stimuli to participants.
dataAnalysis/:
R code to evaluate the collected data for the study.
evaluation/:
Python code to extract and pre-process the study results of individual participants.
The result of the preprocessing step are collected CSV files, which are then evaluated by the R code in the dataAnalysis/ folder.
online-study/:
React JavaScript sources and assets for the web front-end of the study.
online-study-flask-server-main/:
Flask server hosting the study content and managing the distribution and saving of results.
This folder also contains a compiled version of the React frontend from the online-study/ folder.
stimuliCreation/:
JavaScript and HTML code for the web page that generates and downloads the individual video stimulus frames and metadata.
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Shaded relief WebMercator 'slippy map' tiles based on NASA Shuttle Radar Topography Mission Global 1 arc second V003 topographic height data
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This dataset contains WebMercator tiles which contain gray-scale shaded relief (hill shades), and nothing else.
The tiles have a resolution of 256×256px, suitable for web mapping libraries such as <a
href="https://leafletjs.com/">Leaflet.
The hill shades are generated from SRTM altitude data,
which cover the land area between 60° northern and 58° southern latitude, and which lies in the public domain.
Map material without political or infrastructural features can be desirable, for example, in use cases where
historical data is visualized on a map.
The concrete motivation for generating this map material was the Dhimmis & Muslims project (<a
href="https://portal.volkswagenstiftung.de/search/projectDetails.do?ref=93252">project page, <a
href="https://damast.geschichte.hu-berlin.de/">home page, <a
href="https://github.com/UniStuttgart-VISUS/damast">GitHub, <a
href="https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-2318">DaRUS dataset), which
analyzed peaceful coexistence of religious groups in the medieval Middle East.
A particular goal with creating the dataset was to have map material available under a permissive license for
screenshots and publications, instead of relying on proprietary mapping services such as <a
href="https://www.mapbox.com/">Mapbox.
Teaser image: The hillshades of Cyprus on zoom level 9.
This image is hosted externally by GitHub, but is also present in the repository as teaser.png.
Coverage.
The dataset covers zoom level 0 (entire world in one tile) to 12 (entire world in 4096×4096 tiles).
The total size of the dataset is 22,369,621 tiles.
However, of those, 19,753,304 tiles (88.3%) are empty, either because the landscape there is fully flat (i.e., on
water), or because they lie fully outside the latitude range covered by the SRTM altitude data.
The empty tiles are not stored.
Instead, a singular placeholder file is
stored in the repository, alongside a list of
the empty tiles.
During extraction, the placeholder empty tile can be symbolically linked in the file system to all the places
where it is needed.
The total size of the non-empty tiles is about 103GB.
Files.
Besides the placeholder file and the list of empty tiles, the repository also contains a <a
href="https://darus.uni-stuttgart.de/file.xhtml?fileId=276042">manifest file.
This file lists all non-empty tiles by the ZIP file they are contained in.
The tiles themselves are grouped into ZIP files by the following schema:
All tiles from levels 0 to 5 are contained in one
ZIP file.
All tiles of level N, N≥6 are contained in a ZIP file which is named after the tile of level
N-6 (block level) that contains the tile in question, named
tiles__<level>__<block level>_<block index i>_<block index j>.zip.
Hence, all tiles of level 6 are contained in a singular ZIP file named tiles__6__0_0_0.zip.
The tiles of level 7 are split up into four group ZIP files named tiles__7__1_{0,1}_{0,1}.zip, the
tiles of level 8 into 16 group ZIP files named tiles__8__2_{0..3}_{0..3}.zip, and so on.
Both the manifest file and the commands to generate the distribution of tiles on ZIP files can be generated using
the linked software repository.
Usage.
The tile ZIP files can be downloaded and extracted.
By serving the extracted directory structure in a web server, a slippy map tile server can be created.
The linked software repository also contains a command-line
utility that generates the required shell commands to download the ZIP files, extract them, and softlink
(ln -s) the empty tiles to the appropriate places.
This command-line utility can also optionally read in a GeoJSON file of an area of interest.
In this case, only tiles within that area are downloaded in a higher zoom level, whereas tiles completely outside
the area are only downloaded to a lower zoom level;
both zoom levels are also configurable.
See the <a
href="https://github.com/UniStuttgart-VISUS/generate-mercator-tiles-from-srtm#generate-download">documentation
in the repository and the command-line utility’s help (-h) output for more details.
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Standalone Docker image for Damast (for demo purposes only!)
No full text<p>This is a standalone version of the Damast prototype. This version includes a pre-set configuration and a PostgreSQL database server. A demo user is configured (username damast, password damast), and the entire user interface is available on port 80. To install and start, download the Docker image, load it, and run it with the port forwarding:</p>
<p> sudo docker load < damast-standalone_1.3.1.tar.gz</p>
<p> sudo docker run --rm -i -t -p 80:80 damast-standalone:1.3.1</p>
<p><strong>This image is intended for demo purposes only! For a production system, use a separate PostgreSQL database outside of the Docker image (e.g., <a href="https://doi.org/10.5281/zenodo.10849667" target="_blank" rel="noopener">this one</a>) and a mounted volume for the configuration files, as described in the documentation.<br></strong></p>
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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