Enables the construction of flexible urban delineations that
    can be tailored to specific applications or research questions, see Van
    Migerode et al. (2024) <DOI:10.1177/23998083241262545> and Van Migerode
    et al. (2025) <DOI:10.5281/zenodo.15173220>.
    Originally developed to flexibly reconstruct the Degree of
    Urbanisation classification of cities,
    towns and rural areas developed by Dijkstra et al. 
    (2021) <DOI:10.1016/j.jue.2020.103312>. Now it also support a broader 
    range of delineation approaches, using multiple datasets – including
    population, built-up area, and night-time light grids – and different
    thresholding methods.

Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <arXiv:2306.16785>).

Provides an interface to the Flickr API <https://www.flickr.com/services/api/>
      and allows R users to download data on Flickr.

Provides functionality to plot airplane flight paths on maps. The plotted flight paths follow the great circle of the Earth.

Spatio-temporal locations of an animal are computed 
    from annotated data with a hidden Markov  model via particle
    filter algorithm. The package is relatively robust to varying
    degrees of shading.
    The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>,
    general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765>
    and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.

Download flight and airport data from Brazil’s Civil Aviation Agency
             (ANAC) <https://www.gov.br/anac/pt-br>. The data covers detailed 
             information on aircraft, airports, and airport operations registered 
             with ANAC. It also includes data on airfares, all international 
             flights to and from Brazil, and domestic flights  within the country.