3 research outputs found
An Empirical Study on the Names of Points of Interest and Their Changes with Geographic Distance
While Points Of Interest (POIs), such as restaurants, hotels, and barber shops, are part of urban areas irrespective of their specific locations, the names of these POIs often reveal valuable information related to local culture, landmarks, influential families, figures, events, and so on. Place names have long been studied by geographers, e.g., to understand their origins and relations to family names. However, there is a lack of large-scale empirical studies that examine the localness of place names and their changes with geographic distance. In addition to enhancing our understanding of the coherence of geographic regions, such empirical studies are also significant for geographic information retrieval where they can inform computational models and improve the accuracy of place name disambiguation. In this work, we conduct an empirical study based on 112,071 POIs in seven US metropolitan areas extracted from an open Yelp dataset. We propose to adopt term frequency and inverse document frequency in geographic contexts to identify local terms used in POI names and to analyze their usages across different POI types. Our results show an uneven usage of local terms across POI types, which is highly consistent among different geographic regions. We also examine the decaying effect of POI name similarity with the increase of distance among POIs. While our analysis focuses on urban POI names, the presented methods can be generalized to other place types as well, such as mountain peaks and streets
Lugar y mapas: ensayo cartográfico sobre "Orillas del Sar", de RosalĂa de Castro
This article is focused on the notion of literary cartography to make a critical reading of what has been called Geographical Information Systems of Place. Next, he performs a reading of a poem by RosalĂa de Castro to offer some possibilities of analysis of the literary place.Este artĂculo toma como base la nociĂłn de cartografĂa literaria para hacer una lectura crĂtica de lo que se ha llamado Geographical Information Systems of Place. Seguidamente, realiza una lectura de un poema de RosalĂa de Castro para ofrecer algunas vĂas de análisis del lugar literario
Conflating point of interest (POI) data: A systematic review of matching methods
Point of interest (POI) data provide digital representations of places in the
real world, and have been increasingly used to understand human-place
interactions, support urban management, and build smart cities. Many POI
datasets have been developed, which often have different geographic coverages,
attribute focuses, and data quality. From time to time, researchers may need to
conflate two or more POI datasets in order to build a better representation of
the places in the study areas. While various POI conflation methods have been
developed, there lacks a systematic review, and consequently, it is difficult
for researchers new to POI conflation to quickly grasp and use these existing
methods. This paper fills such a gap. Following the protocol of Preferred
Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we conduct a
systematic review by searching through three bibliographic databases using
reproducible syntax to identify related studies. We then focus on a main step
of POI conflation, i.e., POI matching, and systematically summarize and
categorize the identified methods. Current limitations and future opportunities
are discussed afterwards. We hope that this review can provide some guidance
for researchers interested in conflating POI datasets for their research