An easy way to conduct flexible scan.
Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile.
A table with formal style and a map with clusters are included in the result report.
The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.

smerc, sp, spdep, methods, graphics, spatialreg

person("Koki", "Ando", email = "koki.25.ando@gmail.com", role = c("aut", "cre"))
Provides an interface to the Flickr API <https://www.flickr.com/services/api/>
and allows R users to download data on Flickr.

c(
person("Koki", "Ando", email = "koki.25.ando@gmail.com", role = c("aut", "cre")),
person("Eli", "Pousson", role = c("aut", "ctb"))
)
Koki Ando [aut, cre],
Eli Pousson [aut, ctb]

Flood Probability Plotting and Graphical Frequency Analysis
c(person(given = "Ali", family = "Ahani", email = "ali.ahani66@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-1441-0444")),
person(given = "S. Saeid", family = "Mousavi Nadoushani", email = "sa_mousavi@sbu.ac.ir", role = "aut"))
Plotting flood quantiles and their corresponding probabilities (return periods) on the probability papers.
The details of relevant methods are available in Chow et al (1988, ISBN: 007070242X, 9780070702424), and
Bobee and Ashkar (1991, ISBN: 0918334683, 9780918334688).
Ali Ahani [aut, cre] (<https://orcid.org/0000-0002-1441-0444>),
S. Saeid Mousavi Nadoushani [aut]

Cross-Scale Flooding Prediction under Heavy Precipitation
person("Xander", "Wang", email = "xiuquan.wang@gmail.com", role = c("aut", "cre", "cph"))
A gridded model to facilitate cross-scale flooding prediction under heavy precipitation events. The model also allows the consideration of current urban stormwater systems and their future developments in order to help explore potential adaptation strategies against climate change. Reference: Wang, X., G. Huang, and J. Liu (2014) <doi:10.1002/2014JD022564>.

Christopher Waspe, Ruchit Mahabir, Ursula Scharler
Creates and assesses a list of possible networks solved using 'LIM' (Linear Inverse Modelling) (Soetaert, Karline, and Dick Van Oevelen (2009) <doi:10.1007/s10021-009-9297-6>) and restructuring this list, enabling ENA (Ecological Network Analysis) to be performed on the flow network in R package 'enaR' (Borrett, Stuart R., and Matthew K. Lau (2014) <doi:10.1111/2041-210X.12282>).