Results 31 to 40 of about 431 (122)

Del papel al mapa. Las posibilidades de la georreferenciación en los Estudios Literarios

open access: yesRevista de Humanidades Digitales, 2018
Este trabajo aborda la aplicación de la georreferenciación a los Estudios Literarios, concretamente al análisis espacial y geográfico del texto literario. En primer lugar, se revisa la historia de la georreferenciación para poner de manifiesto su impacto
Sofía García Gómez
doaj   +1 more source

Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature

open access: yesEcography, Volume 43, Issue 1, Page 44-59, January 2020., 2020
Ecological systematic reviews and meta‐analyses have significantly increased our understanding of global biodiversity decline. However, for some ecological groups, incomplete and biased datasets have hindered our ability to construct robust, predictive models. One such group consists of the animal pollinators.
Joseph W. Millard   +2 more
wiley   +1 more source

Automatic extraction of geographic context from textual data

open access: yesComputational Science and Techniques, 2014
The amount of information on the internet grows exponentially. It isnot enough anymore just to have a general access to this huge amount of data,instead it is becoming a necessity to be able to use different kinds ofautomatic filters to retrieve just the
Jurijs Nikolajevs, Gints Jekabsons
doaj   +1 more source

New Era for Geo-Parsing to Obtain Actual Locations: A Novel Toponym Correction Method Based on Remote Sensing Images

open access: yesRemote Sensing, 2022
Geo-parsing, one of the key components of geographical information retrieval, is a process to recognize and geo-locate toponyms mentioned in texts. Such a process can obtain locations contained in toponyms successfully with consistent updating of neural ...
Shu Wang   +8 more
doaj   +1 more source

Twitter-Based Flood Damage Mapping Using Text Classification and Geoparsing Techniques [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Social media is a prominent source of real-time information for disaster understanding. This study provides a method that uses natural language processing (NLP), machine learning, and geoparsing for flood damage mapping and classification from Twitter ...
Z. Amirgholizadeh   +2 more
doaj   +1 more source

Automated vocabulary discovery for geo-parsing online epidemic intelligence

open access: yesBMC Bioinformatics, 2009
Background Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time
Freifeld Clark C   +2 more
doaj   +1 more source

The Making of a Sacred Landscape: Visualizing Hangzhou Buddhist Culture via Geoparsing a Local Gazetteer the Xianchun Lin’an zhi 咸淳臨安志

open access: yesReligions, 2022
This project uses local sources to visualize and analyze the spatial distribution of Buddhist sites in Hangzhou 杭州, China, in the Southern Song dynasty (1127–1279).
Jeffrey Liu, Ziling Wan
doaj   +1 more source

An algorithm for identification of natural disaster affected area

open access: yesJournal of Big Data, 2017
An important source of information presently is social media, which reports any major event including natural disasters. Social media also includes conversational data. As a result, the volume of data on social media has an enormous increase.
M. V. Sangameswar   +2 more
doaj   +1 more source

Understandig Territory from an Online Perspective: Twitter and New Ways to do Research on Urban Phenomena

open access: yesFuori Luogo, 2021
In the era of the data revolution (Kitchin, 2014), new kinds of data and data sources allow researchers to share innovative ways of studying society and its dynamics to comprehend the peculiarities related to the territory.
Noemi Crescentini   +2 more
doaj   +1 more source

Real-time crisis mapping of natural disasters using social media

open access: yes, 2014
The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data ...
Lee Middleton   +5 more
core   +1 more source

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