# statistics

ADVANCED

This module contains functions to perform spatial statistics calculations.

GETIS_ORD_QUADBIN(input, size, kernel)

**Description**

This function computes the Getis-Ord Gi* statistic for each Quadbin index in the input array.

`input`

:`SUPER`

input data with the indexes and values of the cells.`size`

:`INT8`

size of the Quadbin*k-ring*(distance from the origin). This defines the area around each index cell that will be taken into account to compute its Gi* statistic.`kernel`

:`VARCHAR`

kernel function to compute the spatial weights across the kring. Available functions are: uniform, triangular, quadratic, quartic and gaussian.

**Return type**

`SUPER`

**Example**

1

SELECT carto.GETIS_ORD_QUADBIN(

2

JSON_PARSE('[

3

{"index": 5266443791933898751, "value": 51.0},

4

{"index": 5266443803500740607, "value": 28.0},

5

{"index": 5266443790415822847, "value": 19.0}

6

]'),

7

3, 'gaussian'

8

);

9

-- [{"index":5266443791933898751,"gi":1.3606194139870578,"p_value":0.086817058065399522},{"index":5266443803500740607,"gi":-0.34633948719670504,"p_value":0.63545613599515272},{"index":5266443790415822847,"gi":-1.0142799267903513,"p_value":0.84477538488255133}]

MORANS_I_QUADBIN(input, size, decay)

**Description**

This function computes the Moran's I spatial autocorrelation from the input array of quadkey indexes.

`input`

:`SUPER`

input data with the indexes and values of the cells.`size`

:`INT8`

size of the quadkey*k-ring*(distance from the origin). This defines the area around each index cell where the distance decay will be applied.`decay`

:`VARCHAR`

decay function to compute the distance decay. Available functions are: uniform, inverse, inverse_square and exponential.

**Return type**

`FLOAT8`

**Example**

1

SELECT carto.MORANS_I_QUADBIN(

2

JSON_PARSE('[

3

{"index": 5266443791927869439, "value": 51.0},

4

{"index": 5266443791928131583, "value": 28.0},

5

{"index": 5266443791928918015, "value": 19.0}

6

]'),

7

3, 'exponential'

8

);

9

-- -0.2966571382680862

P_VALUE(z_score)

**Description**

This function computes the p-value (two-tails test) of a given z-score assuming the population follows a normal distribution where the mean is 0 and the standard deviation is 1. The z-score is a measure of how many standard deviations below or above the population mean a value is. It gives you an idea of how far from the mean a data point is. The p-value is the probability that a randomly sampled point has a value at least as extreme as the point whose z-score is being tested.

`z_score`

:`FLOAT8`

input data with the indexes and values of the cells.

**Return type**

`FLOAT8`

**Example**

1

SELECT carto.P_VALUE(-2);

2

-- 0.04550012577451279

Last modified 3mo ago