Gridmappr
An R package for creating small multiple gridmap layouts
Bibliographic Data
| ID | 21247786 |
|---|---|
| Authors | R Beecham (0000-0001-8563-7251, University of Leeds, corresponding author), Martijn Tennekes (0000-0002-6506-9522, Centraal Bureau voor de Statistiek), Jo Wood (0000-0001-9270-247X, City, University of London) |
| Year | 2026 |
| Volume | 53 |
| Issue | 3 |
| Pages | 487-493 |
| Publication date | 2026-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083251374737 |
| OpenAlex | W4414157872 |
| Language | EN |
| Citations received | 1 |
| References cited | 7 |
We present gridmappr , an R package that automates the process of generating gridmaps – small multiple data graphics of regular size, laid out with an approximate geographic arrangement. Given a set of real geographic point locations, gridmappr allocates points to a regularly sized grid of stated row–column dimensions. This allocation is constrained such that the distance between points in real and grid space is minimised and with a parameter that affects how compactly points are allocated to the regular grid. For geographies with features such as large bodies of water, fixed spacers can be introduced – reserved cells that cannot be allocated points. Layout examples are presented using different parameterisations, and code for generating a family of information-rich glyphmap and origin-destination maps is demonstrated using standard ggplot2
Graphics · Grid · R package · Data Analysis with R · Data Management and Algorithms · Data Visualization and Analytics · Software
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |