Mapping Place Names

This paper demonstrates how to leverage the GeoNames data for seeking patterns in toponymic data using the software package ‘toponym’, which we wrote for the R computational environment. After discussing a distinction between particularistic and pattern-seeking approaches to toponymics, we go on to characterize the data of GeoNames, which are particularly appropriate for the latter type of approach. Then, we present two cases studies. The first case study is on Xincan place names in Guatemala, and the second is on Slavic place names in eastern Germany. These explorations support our hypothesis that toponymics may benefit from new computational tools.

Authors

Institutions

Publication Details

Journal
Names
Published
2025-06-16
DOI
https://doi.org/10.5195/names.2025.2616
Primary Topic
Philippine History and Culture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping Place Names

Lennart Chevallier, Søren Wichmann
Names
Philippine History and Culture
article

Mapping Place Names

Lennart Chevallier, Søren Wichmann
article en

Abstract

This paper demonstrates how to leverage the GeoNames data for seeking patterns in toponymic data using the software package ‘toponym’, which we wrote for the R computational environment. After discussing a distinction between particularistic and pattern-seeking approaches to toponymics, we go on to characterize the data of GeoNames, which are particularly appropriate for the latter type of approach. Then, we present two cases studies. The first case study is on Xincan place names in Guatemala, and the second is on Slavic place names in eastern Germany. These explorations support our hypothesis that toponymics may benefit from new computational tools.

NamesVol. 73(2)
Christian-Albrechts-Universität zu Kiel (DE)
University of Pittsburgh, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 83%
Philippine History and Culture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.