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12 results for “toponyms”
Greek toponyms collected from classical literature
<p>The toponyms in this dataset are derrived from Montanari, Franco. <em>The Brill Dictionary of Ancient Greek</em>. Boston, MA: Brill, 2015 and Kiesling, John Brady, and Aikaterini Laskaridis Founation. “ToposText.” Gazetteer. <em>ToposText Web Version 3.0</em>, 2019. <a href="https://topostext.org/">https://topostext.org/</a>.</p>
Fig. 1 in Toponyms And Ethnonyms In The Names Of Rovno Amber Animals And Plants
Fig. 1. Liverworts (1) and insects (2–7) from Rovno amber collection of SIZK (table 1, 2): 1— Frullania ucrainica, holotype; 2 — Eohelea gedanica, male and female; 3 — Xenohimatium rovnense, holotype; 4 — Rovnoecus klesovicus, holotype; 5 — Leptoconops rovnensis, holotype; 6 — Bilobomyrma ukrainica, holotype; 7— Gnamptogenys europaea, neotype.
Greek Old Testament Toponyms
<p>This dataset contains a non-exhaustive list of 1718 geographical names occuring in the Septuagint..</p> <p>This dataset is derrived from The Lexham Analytical Lexicon of the Septuagint. Bellingham, WA: Lexham Press, 2012.Swanson, James. Dictionary of Biblical Languages with Semantic Domains : Hebrew (Old Testament). Oak Harbor: Logos Research Systems, Inc., 1997.Swete, Henry Barclay. The Old Testament in Greek: According to the Septuagint. Cambridge, UK: Cambridge University Press, 1909..</p> <p> </p>
List of toponyms which are paleographically close to Ioudaian
<p>List of toponyms which are paleographically close to Ioudaian</p>
Supplementary material for 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching'
<p>Supplementary material for the https://github.com/Living-with-machines/LwM_SIGSPATIAL2020_ToponymMatching repository, containing the underlying code and materials for the paper 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching', accepted to SIGSPATIAL2020 as a poster paper.</p> <p> </p> <p>Coll Ardanuy, M., Hosseini, K., McDonough, K., Krause, A., van Strien, D. and Nanni, F. (2020): A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching, SIGSPATIAL: Poster Paper.</p>
Dataset for "Geospatial analysis of toponyms in geotagged social media posts"
<h1>Geotagged Twitter posts dataset</h1> <p>Dataset used for the research presented in the following paper: Takayuki Hiraoka, Takashi Kirimura, Naoya Fujiwara (2024) "Geospatial analysis of toponyms in geo-tagged social media posts".</p> <p>We collected georeferenced Twitter posts tagged to coordinates inside the bounding box of Japan between 2012-2018. The present dataset represents the spatial distributions of all geotagged posts as well as posts containing in the text each of 24 domestic toponyms, 12 common nouns, and 6 foreign toponyms. The code used to analyze the data is available on <a href="https://github.com/takayukihir/geotagged-tweets" target="_blank" rel="noopener">GitHub</a>.</p> <h2>Data description</h2> <ul> <li><code>preprocessed_mcntlt7_selected/</code>: Number of geotagged twitter posts in each grid cell. Each csv file under this directory associates each grid cell (spanning 30 seconds of latitude and 45 secoonds of longitude, which is approximately a 1km x 1km square, specified by an 8 digit code <code>m3code</code>) with the number of geotagged tweets tagged to the coordinates inside that cell (<code>tweetcount</code>). <code>file_names.json</code> relates each of the toponyms studied in this work to the corresponding datafile (<code>all</code> denotes the full data). Note that these data files are modified from the v1.0.0 to exclude posts that contain seven or more mentions.</li> <li><code>population/population_center_2020.xlsx</code>: Center of population of each municipality based on the 2020 census. Derived from data published by the Statistics Bureau of Japan on <a href="https://www.stat.go.jp/data/kokusei/topics/topi135.html" target="_blank" rel="noopener">their website</a> (Japanese)</li> <li><code>population/census2015mesh3_totalpop_setai_area.csv</code>: Resident population in each grid cell based on the 2015 census. Derived from data published by the Statistics Bureau of Japan on <a href="https://www.e-stat.go.jp/gis/statmap-search?page=1&type=1&toukeiCode=00200521&toukeiYear=2015&aggregateUnit=S&serveyId=S002005112015&statsId=T000846" target="_blank" rel="noopener">e-stat</a> (Japanese)</li> <li><code>population/economiccensus2016mesh3_jigyosyo_jugyosya_area.csv</code>: Employed population in each grid cell based on the 2016 Economic Census. Derived from data published by the Statistics Bureau of Japan on <a href="https://www.e-stat.go.jp/gis/statmap-search?page=1&type=1&toukeiCode=00200553&toukeiYear=2016&aggregateUnit=S&serveyId=S002005112016&statsId=T000917" target="_blank" rel="noopener">e-stat</a> (Japanese)</li> <li><code>japan_MetropolitanEmploymentArea2015map/</code>: Shape file for the boundaries of Metropolitan Employment Areas (MEA) in Japan. See <a href="https://www.csis.u-tokyo.ac.jp/UEA/index_e.htm" target="_blank" rel="noopener">this website</a> for details of MEA.</li> <li><code>ward_shapefiles/</code>: Shape files for the boundaries of wards in large cities, published by the Statistics Bureau of Japan on <a href="https://www.e-stat.go.jp/gis/statmap-search?page=1&type=2&aggregateUnitForBoundary=A&toukeiCode=00200553&toukeiYear=2016&serveyId=A002005532016&coordsys=1&format=shape&datum=2011" target="_blank" rel="noopener">e-stat</a></li> </ul>
Matrix of minimum distance between toponyms (rivers and settlements/towns) in Poland
<p>The matrix of distances between 205 rivers and 30,700 towns and villages in Poland published in CSV format.</p> <p> </p> <p>More details in the paper: R.Szczepanek, 2023, A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Marks Text Classification, Water.</p>
New Testament Toponyms
<p>This dataset is derrived from Louw, Johannes P., and Eugene Albert Nida. Greek-English Lexicon of the New Testament: Based on Semantic Domains. New York: United Bible Societies, 1996.It contains all 259 geographical names occuring in the New Testament as well as their occurences in the New Testament Greek Testament (Holmes, Michael W. The Greek New Testament: SBL Edition. Lexham Press; Society of Biblical Literature, 2011–2013.).</p>
SYMBOLS AND TOPONYM
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Supplementary material 1 from: Tattoni C (2019) Nomen omen. Toponyms predict recolonization and extinction patterns for large carnivores. Nature Conservation 37: 1-16. https://doi.org/10.3897/natureconservation.37.38279
: Data type: statistical data
TOPONYMS RELATED TO THE CONCEPT OF WATER
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Georeferenced toponym list from medieval Galician-Portuguese songbooks
<div> <p>Georeferenced toponym list extracted from project Littera database. Littera is a reseach projet developed by Instituto de Estudos Medievais of the Faculdade de Ciências Sociais e Humanas of Universidade Nova de Lisboa. </p> <p><em>Georeferenced toponym list from medieval Galician-Portuguese songbooks</em> by Nelson Gonçalves (Alfobre.com), available under a Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0) at A-GeoCat (https://projetoalfobre.github.io/a-geocat/). This work is based on data by <a href="http://u.osmfr.org/m/551707/">Map of Cantigas</a> and <a href="https://cantigas.fcsh.unl.pt/">Project Littera</a></p> </div>
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