Spatial Analysis for exploration of Pakistan Population Census 2017 (<https://www.pbs.gov.pk/content/population-census>). It uses data from R package 'PakPC2017'.

A suite of diagnostic tools for univariate point processes.
    This includes tools for simulating and fitting both common and more
    complex temporal point processes. We also include functions to 
    visualise these point processes and collect existing diagnostic
    tools of Brown et al. (2002) <doi:10.1162/08997660252741149> and
    Wu et al. (2021) <doi:10.1002/9781119821588.ch7>,
    which can be used to assess the fit of a chosen point process
    model.

Provides an updated database of accepted endemic plant taxa from Peru. The current collection contains over 8,000 taxonomic records at species and infraspecific ranks. Data are derived from Govaerts, R., Nic Lughadha, E., Black, N. et al., 'The World Checklist of Vascular Plants: A continuously updated resource for exploring global plant diversity', published in Sci Data 8, 215 (2021) <doi:10.1038/s41597-021-00997-6>.

Implements projection pursuit forest algorithm for supervised classification.

Builds decision trees by splitting on linear combinations of
    randomly chosen variables. Projection pursuit is used to choose a
    projection of the variables that best separates the groups. Using linear
    combinations of variables to separate groups takes the correlation between
    variables into account, which allows the model to outperform a traditional
    decision tree when the separation between groups occurs in combinations of
    variables. Single trees can be assembled into random forests for improved
    accuracy. Implements projection pursuit classification trees (Lee, Cook,
    Park and Lee (2013) <doi:10.1214/13-EJS810>) and projection
    pursuit forests (da Silva, Cook and Lee (2021)
    <doi:10.1080/10618600.2020.1870480>), following the earlier 'PPforest'
    package.

Methods for fitting point processes with parameters of generalised additive 
      model (GAM) form are provided. For an introduction to point processes see Cox, D.R & 
      Isham, V. (Point Processes, 1980, CRC Press), GAMs see Wood, S.N. (2017) 
      <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & 
      Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.