Implementation of Matched Wake Analysis (mwa) for studying causal relationships in spatiotemporal event data, introduced by Schutte and Donnay (2014) <doi:10.1016/j.polgeo.2014.03.001>.

Algorithms for solving various Maximum
    Weight Connected Subgraph Problems, including variants with
    budget constraints, cardinality constraints, weighted edges and signals.
    The package represents an R interface to high-efficient solvers based on
    relax-and-cut approach (Álvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>)
    mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>)
    and simulated annealing.

Handy helper package for cross-referencing lake identifiers 
    among different data sets in the Midwestern United States. There are 
    multiple different state, regional, and federal agencies that have 
    different identifiers on lakes. This package helps you to go between them.

Provides a tidy, high-level interface for creating polished maps
    of Malawi at country, region, district, and Traditional Authority level.
    Functions handle spatial data retrieval, administrative-name matching,
    joins from ordinary data frames, numeric and categorical choropleths,
    labels, highlights, and professional 'ggplot2' styling. Spatial boundary
    data are provided by the companion package 'mwmapdata'.

Provides official spatial boundary datasets for Malawi at multiple
    administrative levels: country (level 0), regions (level 1), districts
    (level 2), and traditional authorities (level 3). Also includes Lake
    Malawi boundary data. Boundary data are the Common Operational Datasets (COD-AB)
    sourced from the National Statistics Office of Malawi and distributed via
    the OCHA Humanitarian Data Exchange (HDX), version 02
    <https://data.humdata.org/dataset/cod-ab-mwi>. Intended for use with the
    'mwmap' package or any spatial analysis workflow requiring Malawi
    administrative boundaries.