Function reference • sfdep

Neighbors

st_contiguity(): Identify polygon neighbors

st_cardinalties(): Calculate neighbor cardinalities

st_knn(): Calculate K-Nearest Neighbors

st_nb_apply(): Apply a function to neighbors

st_nb_band(): Neighbors from a distance band

st_nb_dists(): Calculate neighbor distances

st_nb_lag(): Pure Higher Order Neighbors

st_nb_lag_cumul(): Encompassing Higher Order Neighbors

cond_permute_nb(): Conditional permutation of neighbors

Weights

st_weights(): Calculate spatial weights

Local Indicators of Spatial Association (LISA)

st_lag(): Calculate spatial lag

local_c() local_c_perm(): Compute Local Geary statistic

local_g() local_g_perm(): Local G

local_gstar() local_gstar_perm(): Local G*

local_jc_bv(): Bivariate local join count

local_jc_uni(): Compute local univariate join count

local_moran(): Calculate the Local Moran's I Statistic

local_moran_bv(): Compute the Local Bivariate Moran's I Statistic

losh() losh_perm(): Local spatial heteroscedacity

nb_match_test(): Local Neighbor Match Test

Global Measure of Spatial Autocorrelation

global_c(): Compute Geary's C

global_c_perm(): Global C Permutation Test

global_c_test(): Global C Test

global_g_test(): Getis-Ord Global G

global_jc_perm() global_jc_test(): Global Join Count Permutation Test

global_moran(): Calculate Global Moran's I

global_moran_bv(): Compute the Global Bivariate Moran's I

global_moran_perm(): Global Moran Permutation Test

global_moran_test(): Global Moran Test

Data

guerry guerry_nb: "Essay on the Moral Statistics of France" data set.

Networks

st_as_graph(): Create an sfnetwork

st_as_edges(): Convert to an edge lines object

st_as_nodes(): Convert to a node point object

Internal functions

check_pkg_suggests(): Check if a vector of packages are available

check_polygon(): Checks geometry for polygons.

class_modify(): Modify object classes

find_xj(): Formulas come from Anselin & Morrison's notes. Idenitfy xj values

jc_bjc_calc(): Calculate BJC Bivariate Case

jc_bjc_perm_impl(): Calculate BJC BV for conditional permutations

jc_clc_perm_impl(): Calculate CLC BV for conditional permutations

jc_uni_calc(): Calculate univariate join count at row level

jc_uni_impl(): Implementation of the univariate join count on listw objects

jc_uni_perm_impl(): Conditional permutation of univariate local join count

local_moran_bv_calc(): Calculate the Local Bivariate Moran Statistic

local_moran_bv_impl(): Local Bivariate Moran's I spdep implementation

local_moran_bv_perm_impl(): Local Bivariate Moran's I conditional permutation implementation

moran_bv_calc(): Global Bivariate Moran's I calculation

moran_bv_impl(): Global Bivariate Moran's I spdep implementation

moran_bv_perm_impl(): Global Bivariate Moran's I conditional permutation implementation

nmt_calc(): Identify matches between two neighbor lists

nmt_impl(): Implementation of Neighbor Match Test

nmt_perm_impl(): Find conditionally permuted neighbor matches

permute_listw(): Conditionally permutes a listw object

`%>%`: Pipe operator

recreate_listw(): Create a listw object from a neighbors and weight list

shuffle_nbs(): Internal function to shuffle neighbors