`R/weights.R`

`gda_kernel_knn_weights.Rd`

Create a kernel weights by specifying k-nearest neighbors and a kernel method

```
gda_kernel_knn_weights(
geoda_obj,
k,
kernel_method,
adaptive_bandwidth = TRUE,
use_kernel_diagonals = FALSE,
power = 1,
is_inverse = FALSE,
is_arc = FALSE,
is_mile = TRUE
)
```

- geoda_obj
An instance of geoda

- k
a positive integer number for k-nearest neighbors

- kernel_method
a string value, which has to be one of 'triangular', 'uniform', 'epanechnikov', 'quartic', 'gaussian'

- adaptive_bandwidth
(optional) TRUE (default) or FALSE: TRUE use adaptive bandwidth calculated using distance of k-nearest neithbors, FALSE use max distance of all observation to their k-nearest neighbors

- use_kernel_diagonals
(optional) FALSE (default) or TRUE, apply kernel on the diagonal of weights matrix

- power
(optional) The power (or exponent) of a number says how many times to use the number in a multiplication.

- is_inverse
(optional) FALSE (default) or TRUE, apply inverse on distance value

- is_arc
(optional) FALSE (default) or TRUE, compute arc distance between two observations

- is_mile
(optional) TRUE (default) or FALSE, convert distance unit from mile to km.

An instance of Weight-class

```
if (FALSE) {
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- geoda_open(guerry_path)
adptkernel_w = gda_kernel_knn_weights(guerry, 6, "uniform")
summary(adptkernel_w)
}
```