ggmap

ggmap: Spatial Visualization with ggplot2. A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.

References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.

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Hou, Zhezhi; Jin, Man; Kumbhakar, Subal C.: Productivity spillovers and human capital: a semiparametric varying coefficient approach (2020)
Balocchi, Cecilia; Jensen, Shane T.: Spatial modeling of trends in crime over time in Philadelphia (2019)
Quach, Anna; Symanzik, Jürgen; Forsgren, Nicole: Soul of the community: an attempt to assess attachment to a community (2019)
Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
Razaee, Zahra S.; Amini, Arash A.; Li, Jingyi Jessica: Matched bipartite block model with covariates (2019)
D’Urso, Pierpaolo; De Giovanni, Livia; Massari, Riccardo: Robust fuzzy clustering of multivariate time trajectories (2018)
Martijn Tennekes: tmap: Thematic Maps in R (2018) not zbMATH
Palowitch, John; Bhamidi, Shankar; Nobel, Andrew B.: Significance-based community detection in weighted networks (2018)
Robin Lovelace; Richard Ellison: stplanr: A Package for Transport Planning (2018) not zbMATH
Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
Hannah Frick; Ioannis Kosmidis: trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R (2017) not zbMATH
Bouveyron, Charles; Côme, Etienne; Jacques, Julien: The discriminative functional mixture model for a comparative analysis of bike sharing systems (2015)
Markus Loecher; Karl Ropkins: RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles (2015) not zbMATH
Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)