Update README.md

mentioned polygon/hatch in intro

README.md

@@ -1,6 +1,6 @@
 # leaflet-dataclassification
 
-Classifies quantitative data from attributes, styles the features appropriately and also creates a clean, simple and appealing legend depicting the value classes and their associated symbols, all combined in a single step. Classifying point features can be done based on color and size, line features based on color and width, polygon features based on fill color (for choropleth maps). Extends the L.geoJSON layer.
+Classifies quantitative data from attributes, styles the features appropriately and also creates a clean, simple and appealing legend depicting the value classes and their associated symbols, all combined in a single step. Classifying point features can be done based on symbol color and size, line features based on color and width, polygon features based on fill color (for choropleth maps) and fill pattern (hatch fill). Extends the L.geoJSON layer.
 
 Aims to simplify data visualization and creation of elegant thematic web maps with Leaflet using GeoJSON data, with a more traditional approach of thematic cartography. Although tutorials for defining style functions (to retrieve class colors through pre-defined conditional statements) and basic legend creation exist for Leaflet, those are static (are only created for a specific dataset) and might require using GIS software beforehand to classify and style the dataset properly (to get class boundaries and exact colors), in order to have a visualization that gets the message through. This customizable plugin automates all this and can easily be used for any dataset with quantitative data. As it extends L.GeoJSON, you can have multiple layers of this (with a matched legend for each) to create a more complex data visualization.
 
@@ -163,4 +163,4 @@ const layer = L.dataClassification(data, {
 ## Hatch fill pattern types
 Hatch fill patterns provided by [leaflet-hatchclass](https://github.com/samanbey/leaflet-hatchclass). (Gede, M.: Hatch Fill on Webmaps – to Do or Not to Do, and How to Do, Abstr. Int. Cartogr. Assoc., 5, 48, https://doi.org/10.5194/ica-abs-5-48-2022, 2022.)
 
-![Screenshot of different hatch fill pattern modes (distinctionMode option). Samples.](screenshots_hatchfill.png)
+![Screenshot of different hatch fill pattern modes (distinctionMode option). Samples.](screenshots_hatchfill.png)