Results 41 to 50 of about 171 (144)

Automated Geoparsing of Paris Street Names in 19th Century Novels [PDF]

Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, 2017
Our project involves building a platform able to retrieve, map and analyze the occurrences of place names in fictional novels published between 1800 and 1914 and whose action occurs wholly or partly in Paris. We describe a proof of concept using queries made via the TXM textual analysis platform for the extraction of street names.
Ludovic Moncla, Mauro Gaio, Thierry Joliveau, Yves-François Le Lay   +3 more
openaire   +1 more source

Detecting and Modeling Emotional Landscapes Through Deep Learning, GPT‐4.1, and 3D Spatial Interpolation

Transactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley   +1 more source

Extracting Geographical References from Finnish Literature. Fully Automated Processing of Plain-Text Corpora

Journal of Computational Literary Studies
In the Atlas of Finnish Literature 1870-1940 project, we extract geographical information from a Finnish-language corpus of literary texts published between 1870 and 1940.
Asko Nivala, Harri Kiiskinen, Jasmine Westerlund, Juhana Saarelainen   +3 more
doaj   +2 more sources

Twitter and Sentiment Analysis for Wildfire Heat Mapping

Expert Systems, Volume 42, Issue 11, November 2025.
ABSTRACT Nowadays, automated intelligent systems play an increasingly vital role in aiding decision‐making processes across various fields. Firefighting represents a crucial area where accurate information gathering is paramount for efficient resource allocation.
Catarina Silva, Isabel Carvalho, Bruno Ferreira, João Cabral Pinto, Alberto Cardoso, Hugo Gonçalo Oliveira   +5 more
wiley   +1 more source

Street-Level Disaster Location Detection Using Image Matching of Social Media Images [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Rapid identification of disaster locations is essential for effective emergency response and situational awareness. However, a large proportion of images shared on social media during disasters lack geographic metadata, limiting their usefulness for ...
P.-H. Hsu, M. Sathianarayanan, M. Sathianarayanan   +2 more
doaj   +1 more source

From Data Deficient to Big Data in Shark Conservation

Fish and Fisheries, Volume 26, Issue 6, Page 977-990, November 2025.
ABSTRACT Citizen science is increasingly harnessed worldwide to gather data otherwise requiring a prohibitive investment of funding and time. Meanwhile, the revolution in digital communication offers opportunities from crowdsourcing, big data approaches and social network mining to quickly and cost‐effectively fill major gaps in knowledge necessary to ...
F. Ferretti, J. Jenrette, S. Moro, C. Butner, E. Fox, S. H. D. Haddock, S. J. Jorgensen, T. Hastie, F. Micheli   +8 more
wiley   +1 more source

Benchmarking large language models for geolocating colonial Virginia land grants

Journal of Spatial Information Science
Virginia's seventeenth- and eighteenth-century land patents survive primarily as narrative metes-and-bounds descriptions, limiting spatial analysis. This study systematically evaluates current-generation large language models (LLMs) in converting these ...
Ryan Mioduski
doaj   +1 more source

Operationalizing Geographic Diversity for the Evaluation of AI‐Generated Content

Transactions in GIS, Volume 29, Issue 3, May 2025.
ABSTRACT The introduction and widespread use of foundation models has accelerated the necessity of identifying geographic bias in AI‐generated content. In this respect, we operationalize geographic diversity as a countermeasure. We refine the notion of geographic diversity as the quality of including data from various places and maintaining a balance ...
Zilong Liu, Krzysztof Janowicz, Ivan Majic, Meilin Shi, Alexandra Fortacz, Mina Karimi, Gengchen Mai, Kitty Currier   +7 more
wiley   +1 more source

A spatial model for the representation of emotional landscapes

Transactions in GIS, Volume 28, Issue 6, Page 1705-1727, September 2024.
Abstract This article proposes a cartographic solution to represent the emotional landscapes of evasion for a Holocaust survivor, specifically his perceptions of safety or danger during his escape. The victim's emotional landscapes are spatially interpolated using techniques for vectors of both travel direction and magnitude (of perceptions of safety ...
Christopher J. Anderson, Alberto Giordano   +1 more
wiley   +1 more source

An Approach to Measuring Semantic Relatedness of Geographic Terminologies Using a Thesaurus and Lexical Database Sources

ISPRS International Journal of Geo-Information, 2018
In geographic information science, semantic relatedness is important for Geographic Information Retrieval (GIR), Linked Geospatial Data, geoparsing, and geo-semantics.
Zugang Chen, Jia Song, Yaping Yang
doaj   +1 more source