## Name

ST_SquareGrid — Returns a set of grid squares and cell indices that completely cover the bounds of the geometry argument.

## Synopsis

`geometry ST_Point(`float x_lon, float y_lat`)`;

## 설명

Starts with the concept of a square tiling of the plane. For a given planar SRS, and a given edge size, starting at the origin of the SRS, there is one unique square tiling of the plane, Tiling(SRS, Size). This function answers the question: what grids in a given Tiling(SRS, Size) overlap with a given bounds.

The SRS for the output squares is the SRS provided by the bounds geometry.

Doubling or edge size of the square generates a new parent tiling that perfectly fits with the original tiling. Standard web map tilings in mercator are just powers-of-two square grids in the mercator plane.

2.1.0 버전부터 사용할 수 있습니다.

## 예시: 경계 상자 폴리곤을 빌드하기

The grid will fill the whole bounds of the country, so if you want just squares that touch the country you will have to filter afterwards with ST_Intersects.

```WITH grid AS (
SELECT (ST_SquareGrid(1, ST_Transform(geom,4326))).*
)
SELEcT ST_AsText(geom)
FROM grid```

## 예시: 배열 버전 사용하기

To do a point summary against a square tiling, generate a square grid using the extent of the points as the bounds, then spatially join to that grid. Note the estimated extent might be off from actual extent, so be cautious and at very least make sure you've analyzed your table.

```SELECT COUNT(*), squares.geom
FROM
pointtable AS pts
INNER JOIN
ST_SquareGrid(
1000,
ST_SetSRID(ST_EstimatedExtent('pointtable', 'geom'), 3857)
) AS squares
ON ST_Intersects(pts.geom, squares.geom)
GROUP BY squares.geom```

## 예시: 배열 버전 사용하기

This yields the same result as the first example but will be slower for a large number of points

```SELECT COUNT(*), squares.geom
FROM
pointtable AS pts
INNER JOIN
ST_SquareGrid(
1000,
pts.geom
) AS squares
ON ST_Intersects(pts.geom, squares.geom)
GROUP BY squares.geom```