> For the complete documentation index, see [llms.txt](https://docs.carto.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.carto.com/data-and-analysis/analytics-toolbox-for-snowflake/sql-reference/measurements.md).

# measurements

This module contains functions that compute measurements of distance, area and angles. There are also functions to compute geometry values determined by measurements.

## ST\_MINKOWSKIDISTANCE <a href="#st_minkowskidistance" id="st_minkowskidistance"></a>

```sql
ST_MINKOWSKIDISTANCE(geog [, p])
```

**Description**

Calculate the Minkowski p-norm distance between two features.

**Input parameters**

* `geojsons`: `ARRAY` array of features in GeoJSON format casted to STRING.
* `p` (optional): `FLOAT64` minkowski p-norm distance parameter. 1: Manhattan distance. 2: Euclidean distance. 1 =< p <= infinity. By default `p` is `2`.

**Return type**

`ARRAY`

**Examples**

```sql
SELECT CARTO.CARTO.ST_MINKOWSKIDISTANCE(
  ARRAY_CONSTRUCT(
    ST_ASGEOJSON(ST_POINT(10,10))::STRING,
    ST_ASGEOJSON(ST_POINT(13,10))::STRING
  )
);
-- [ [ 0, 3.333333333333333e-01 ], [ 3.333333333333333e-01, 0 ] ]
```

```sql
SELECT CARTO.CARTO.ST_MINKOWSKIDISTANCE(
  ARRAY_CONSTRUCT(
    ST_ASGEOJSON(ST_POINT(10,10))::STRING,
    ST_ASGEOJSON(ST_POINT(13,10))::STRING
  ),
  2
);
-- [ [ 0, 3.333333333333333e-01 ], [ 3.333333333333333e-01, 0 ] ]
```

{% hint style="info" %}
**Additional examples**

* [Minkowski distance to perform cannibalization analysis](https://academy.carto.com/advanced-spatial-analytics/spatial-analytics-for-snowflake/step-by-step-tutorials/minkowski-distance-to-perform-cannibalization-analysis)
  {% endhint %}


---

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