Cartografía Y Caracterización De La Edificación Rural a Partir De Los Datos Inspire De Catastro. Aplicación a La Provincia De Sevilla

Villalta, Ismael Vallejo; Ramı́rez, Eduardo

doi:10.21138/gf.625

Cited by 2 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The importance of spatial data lies in the data's ability to provide a deeper and more detailed understanding of the world around us [10]. Data are used in a wide variety of applications, from urban planning and transportation to natural disaster management and precision agriculture [11]. Knowing what is happening, and where, is extremely relevant for various social and economic agents, with this being the second category of data most reused and consulted by companies in the EU [12].…”

Section: Introductionmentioning

confidence: 99%

Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches

Pérez,

Aybar

2024

IJGI

View full text Add to dashboard Cite

Georeferenced data are crucial for addressing societal spatial challenges, as most corporate and governmental information is location-compatible. However, many open-source solutions lack automation in geocoding while ensuring quality. This study evaluates the functionalities of various R packages and their integration with external APIs for converting postal addresses into geographic coordinates. Among the fifteen R methods/packages reviewed, tidygeocoder stands out for its versatility, though discrepancies in processing times and missing values vary by provider. The accuracy was assessed by proximity to original dataset coordinates (Madrid street map) using a sample of 15,000 addresses. The results indicate significant variability in performance: MapQuest was the fastest, ArcGIS the most accurate, and Nominatim had the highest number of missing values. To address these issues, an alternative web scraping methodology is proposed, substantially reducing the error rates and missing values, but raising potential legal concerns. This comparative analysis highlights the strengths and limitations of different geocoding tools, facilitating better integration of geographic information into datasets for researchers and social agents.

show abstract

Section: Introductionmentioning

confidence: 99%