Add annotation to all layer classes (#7099)

Author: Pessimistress

docs/api-reference/aggregation-layers/contour-layer.md

@@ -5,7 +5,7 @@ import {ContourLayerDemo} from 'website-components/doc-demos/aggregation-layers'
 
 # ContourLayer
 
-`ContourLayer` renders `Isoline`s or `Isoband`s for a given threshold and cell size. `Isoline` represents collection of line segments that separate the area above and below a given threshold. `Isoband` represents a collection of polygons (filled) that fill the area containing values in a given threshold range. To generate an `Isoline` single threshold value is needed, to generate an `Isoband` an Array with two values needed. Data is first aggregated using given cell size and resulting scalar field is used to run [Marching Squares](https://en.wikipedia.org/wiki/Marching_squares) algorithm that generates a set of vertices to form Isolines or Isobands. In below documentation `Isoline` and `Isoband` is referred as `contour`.
+The `ContourLayer` aggregates data into iso-lines or iso-bands for a given threshold and cell size. `Isoline` represents collection of line segments that separate the area above and below a given threshold. `Isoband` represents a collection of polygons (filled) that fill the area containing values in a given threshold range. To generate an `Isoline` single threshold value is needed, to generate an `Isoband` an Array with two values needed. Data is first aggregated using given cell size and resulting scalar field is used to run [Marching Squares](https://en.wikipedia.org/wiki/Marching_squares) algorithm that generates a set of vertices to form Isolines or Isobands. In below documentation `Isoline` and `Isoband` is referred as `contour`.
 
 
 ```js

docs/api-reference/aggregation-layers/cpu-grid-layer.md

@@ -8,9 +8,7 @@ import {CPUGridLayerDemo} from 'website-components/doc-demos/aggregation-layers'
 
 # CPUGridLayer
 
-The `CPUGridLayer` renders a grid heatmap based on an array of inputs.
-It takes the constant cell size and aggregates input objects into cells. The color
-and height of a cell are determined based on the objects it contains. Aggregation is performed on CPU.
+The `CPUGridLayer` aggregates data into a grid-based heatmap. The color and height of a cell are determined based on the objects it contains. Aggregation is performed on CPU.
 
 `CPUGridLayer` is one of the sublayers for [GridLayer](/docs/api-reference/aggregation-layers/grid-layer.md), and is provided to customize CPU Aggregation for advanced use cases. For any regular use case, [GridLayer](/docs/api-reference/aggregation-layers/grid-layer.md) is recommended.
 

docs/api-reference/aggregation-layers/gpu-grid-layer.md

@@ -8,9 +8,7 @@ import {GPUGridLayerDemo} from 'website-components/doc-demos/aggregation-layers'
 
 # GPUGridLayer (WebGL2)
 
-The `GPUGridLayer` renders a grid heatmap based on an array of inputs.
-It takes the constant cell size and aggregates input objects into cells. The color
-and height of a cell are determined based on the objects it contains. This layer performs aggregation on GPU hence not supported in non WebGL2 browsers.
+The `GPUGridLayer` aggregates data into a grid-based heatmap. The color and height of a cell are determined based on the objects it contains. This layer performs aggregation on GPU hence not supported in non WebGL2 browsers.
 
 `GPUGridLayer` is one of the sublayers for [GridLayer](/docs/api-reference/aggregation-layers/grid-layer.md) and is only supported when using `WebGL2` enabled browsers. It is provided to customize GPU Aggregation for advanced use cases. For any regular use case, [GridLayer](/docs/api-reference/aggregation-layers/grid-layer.md) is recommended.
 

docs/api-reference/aggregation-layers/grid-layer.md

@@ -8,9 +8,7 @@ import {GridLayerDemo} from 'website-components/doc-demos/aggregation-layers';
 
 # GridLayer
 
-The `GridLayer` renders a grid heatmap based on an array of inputs.
-It takes the constant cell size and aggregates input objects into cells. The color
-and height of a cell are determined based on the objects it contains.
+The `GridLayer` aggregates data into a grid-based heatmap. The color and height of a cell are determined based on the objects it contains.
 
 This layer renders either a [GPUGridLayer](/docs/api-reference/aggregation-layers/gpu-grid-layer.md) or a [CPUGridLayer](/docs/api-reference/aggregation-layers/cpu-grid-layer.md), depending on its props and whether GPU aggregation is supported. For more details check the `GPU Aggregation` section below.
 

docs/api-reference/aggregation-layers/hexagon-layer.md

@@ -8,9 +8,7 @@ import {HexagonLayerDemo} from 'website-components/doc-demos/aggregation-layers'
 
 # HexagonLayer
 
-The Hexagon Layer renders a hexagon heatmap based on an array of inputs.
-It takes the radius of hexagon bin and aggregates input objects into hexagon bins. The color
-and height of a hexagon are determined based on the objects it contains.
+The `HexagonLayer` aggregates data into a hexagon-based heatmap. The color and height of a hexagon are determined based on the objects it contains.
 
 HexagonLayer is a [CompositeLayer](/docs/api-reference/core/composite-layer.md) and at the moment only works with `COORDINATE_SYSTEM.LNGLAT`.
 

docs/api-reference/aggregation-layers/screen-grid-layer.md

@@ -4,9 +4,7 @@ import {ScreenGridLayerDemo} from 'website-components/doc-demos/aggregation-laye
 
 # ScreenGridLayer
 
-The Screen Grid Layer takes in an array of latitude and longitude
-coordinated points, aggregates them into histogram bins and
-renders as a grid. By default aggregation happens on GPU, aggregation falls back to CPU when browser doesn't support GPU Aggregation or when `gpuAggregation` prop is set to false.
+The `ScreenGridLayer` aggregates data into histogram bins and renders them as a grid. By default aggregation happens on GPU, aggregation falls back to CPU when browser doesn't support GPU Aggregation or when `gpuAggregation` prop is set to 1.
 
 ```js
 import DeckGL from '@deck.gl/react';

docs/api-reference/geo-layers/geohash-layer.md

@@ -8,7 +8,7 @@ import {GeohashLayerDemo} from 'website-components/doc-demos/geo-layers';
 
 # GeohashLayer
 
-The GeohashLayer renders filled and/or stroked polygons, with geometry automatically calculated based on a geohash (geospatial index).
+The `GeohashLayer` renders filled and/or stroked polygons based on the [Geohash](https://en.wikipedia.org/wiki/Geohash) geospatial indexing system.
 
 `GeohashLayer` is a [CompositeLayer](/docs/api-reference/core/composite-layer.md).
 

docs/api-reference/geo-layers/mvt-layer.md

@@ -8,7 +8,7 @@ import {MVTLayerDemo} from 'website-components/doc-demos/geo-layers';
 
 # MVTLayer
 
-`MVTLayer` is a derived `TileLayer` that makes it possible to visualize very large datasets through MVTs ([Mapbox Vector Tiles](https://docs.mapbox.com/vector-tiles/specification/)). Behaving like `TileLayer`, it will only load, decode and render MVTs containing features that are visible within the current viewport.
+The `MVTLayer` is a derived `TileLayer` that makes it possible to visualize very large datasets through MVTs ([Mapbox Vector Tiles](https://docs.mapbox.com/vector-tiles/specification/)). Behaving like `TileLayer`, it will only load, decode and render MVTs containing features that are visible within the current viewport.
 
 Data is loaded from URL templates in the `data` property.
 

docs/api-reference/geo-layers/quadkey-layer.md

@@ -8,7 +8,7 @@ import {QuadkeyLayerDemo} from 'website-components/doc-demos/geo-layers';
 
 # QuadkeyLayer
 
-The QuadkeyLayer renders filled and/or stroked polygons, with geometry automatically calculated based on a quadkey (geospatial index).
+The `QuadkeyLayer` renders filled and/or stroked polygons based on the [Quadkey](https://towardsdatascience.com/geospatial-indexing-with-quadkeys-d933dff01496) geospatial indexing system.
 
 `QuadkeyLayer` is a [CompositeLayer](/docs/api-reference/core/composite-layer.md).
 

docs/api-reference/geo-layers/s2-layer.md

@@ -8,7 +8,7 @@ import {S2LayerDemo} from 'website-components/doc-demos/geo-layers';
 
 # S2Layer
 
-The S2Layer renders filled and/or stroked polygons, with geometry automatically calculated based on an S2 token (geospatial index). It uses the [`s2-geometry`](http://s2geometry.io/) library for S2 polygon calculations.
+The `S2Layer` renders filled and/or stroked polygons based on the [S2](http://s2geometry.io/) geospatial indexing system.
 
 `S2Layer` is a [CompositeLayer](/docs/api-reference/core/composite-layer.md).