Changelog

Source: NEWS.md

sfdep 0.2.3

CRAN release: 2023-01-11

• remove readr suggestion to pass noSuggests from CRAN. Much minuscule tasks for the overlords.

sfdep 0.2.2

CRAN release: 2022-12-22

• no changes from 0.2.1 version bump solely for CRAN

sfdep 0.2.1

CRAN release: 2022-12-16

• Bivariate Moran uses the new spdep implementation which is faster. It does, however, return an object of class boot which needs extra work to calculate the p-value
• Local join count univariate uses spdep now
• adds graph based neighbors:
  • st_nb_delaunay() uses spdep::tri2nb()
  • st_nb_gabriel() uses spdep::gabrielneigh() and spdep::graph2nb()
  • st_nb_relative() uses spdep::relativeneigh() and spdep::graph2nb()
• activate() is now exported as a generic method to no longer conflict with tidygraph
• st_as_graph() now creates undirected graphs
• new functions for sfnetworks
  • node_get_nbs(): converts the node adjacency list to a neighbor list
  • node_get_edge_list(): creates an edge adjacency list used to get edge attribute columns
  • node_get_edge_col(): uses the edge list to get edge attributes and turn them into a weight like list

sfdep 0.2.0

CRAN release: 2022-08-15

• spatial_gini() is a new global measure
• euclidean_median() is added for identifying the euclidean median of points for point pattern analysis.
  • Implemented using pracma::geo_median()
    • pracma is now added as a suggested package
• center_mean() and center_median() are added for point pattern analysis
• tally_jc() returns join count matrix via spdep::joincount.multi() as a data.frame object
• st_complete_nb() creates a complete graph of neighbors
• set operations for neighbor lists nb_union(), nb_intersect(), nb_setdiff()
• st_block_nb() is introduced to create neighbor contiguity based on spatial regimes
  • inspired by https://pysal.org/libpysal/generated/libpysal.weights.block_weights.html
• critical_threshold() gains argument k to identify minimum number of neighbors when calculating threshold
• pct_nonzero() calculates the percent of non-zero neighbors
• szero() to calculate the global sum of weights
• nb_as_matrix() and wt_as_matrix() convert neighbor and weights lists to matrices
• two new functions include_self() based on spdep::include.self() and new remove_self() which is available separately in spdep due to issue 83 as spdep::remove.self().
• local_g_perm() returns correct G statistic. Previously returned only the internal measure.
  
• local_gstar() and local_gstar_perm() do not warn when self.included = TRUE
• emerging_hotspot_analysis() implements emerging hotspot analysis with spacetime objects
• a new spacetime class for linking spatio-temporal data and geometry
  • see the spacetime vignette.
• Implemented colocation quotient (CLQ) measures See the colocation vignette:
  • global_colocation() for global colocation of one categorical variable
  • pairwise_colocation() for asymmetric colocation of subcategories of one or two categories
  • local_colocation() for local CLQ measure
  • these functions are not fast! PRs welcomed to improve computation speed.
• st_kernel_weights() now returns an attribute kernel which is set to the value of the kernel argument
• cond_permute_nb() specifies SIMPLIFY = FALSE in internal mapply() call which was causing errors in creating conditionally permuted neighbor lists

sfdep 0.1.0

CRAN release: 2022-04-20

• Released on CRAN!
• Sending in for initial CRAN release