Defines window or bin boundaries for the analysis of genomic data.
    Boundaries are based on the inflection points of a cubic smoothing spline
    fitted to the raw data. Along with defining boundaries, a technique to
    evaluate results obtained from unequally-sized windows is provided.
    Applications are particularly pertinent for, though not limited to, genome
    scans for selection based on variability between populations (e.g. using
    Wright's fixations index, Fst, which measures variability in subpopulations
    relative to the total population).

The purpose is to account for the random displacements 
 (jittering) of true survey household cluster center coordinates in geostatistical 
 analyses of Demographic and Health Surveys program (DHS) data. Adjustment for 
 jittering can be implemented either in the spatial random effect, or in the 
 raster/distance based covariates, or in both. Detailed information about the methods 
 behind the package functionality can be found in two preprints.
 Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2022) <arXiv:2202.11035v2>. 
 Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2022) <arXiv:2211.07442v1>.

Collection of tools that facilitates data access and workflow for spatial analysis of Argentina. Includes historical information from censuses, administrative limits at different levels of aggregation, location of human settlements, among others. Since it is expected that the majority of users will be Spanish-speaking, the documentation of the package prioritizes this language, although an effort is made to also offer annotations in English.

Provides extension types and conversions to between R-native
  object types and 'Arrow' columnar types. This includes integration among
  the 'arrow', 'nanoarrow', 'sf', and 'wk' packages such that spatial
  metadata is preserved wherever possible. Extension type implementations
  ensure first-class geometry data type support in the 'arrow' and 'nanoarrow'
  packages.