[DOCS] Update statements about Shapely 2 support

docs/setup/emr.md

@@ -25,9 +25,9 @@ sudo curl -o /jars/sedona-spark-shaded-3.0_2.12-{{ sedona.current_version }}.jar
 sudo curl -o /jars/geotools-wrapper-{{ sedona.current_geotools }}.jar "https://repo1.maven.org/maven2/org/datasyslab/geotools-wrapper/{{ sedona.current_geotools }}/geotools-wrapper-{{ sedona.current_geotools }}.jar"
 
 # Install necessary python libraries
-sudo python3 -m pip install pandas==1.3.5
-sudo python3 -m pip install shapely==1.8.5
-sudo python3 -m pip install geopandas==0.11.1
+sudo python3 -m pip install pandas
+sudo python3 -m pip install shapely
+sudo python3 -m pip install geopandas
 sudo python3 -m pip install keplergl==0.3.2
 sudo python3 -m pip install pydeck==0.8.0
 sudo python3 -m pip install attrs matplotlib descartes apache-sedona=={{ sedona.current_version }}

docs/setup/release-notes.md

@@ -2,7 +2,9 @@
 	Support of Spark 2.X and Scala 2.11 was removed in Sedona 1.3.0+ although some parts of the source code might still be compatible. Sedona 1.3.0+ releases binary for both Scala 2.12 and 2.13.
 
 !!! note
-	Sedona Python currently only works with Shapely 1.x. If you use GeoPandas, please use <= GeoPandas `0.11.1`. GeoPandas > 0.11.1 will automatically install Shapely 2.0. If you use Shapely, please use <= `1.8.4`.
+	Sedona before 1.6.0 only works with Shapely 1.x. If you want to work with Shapely 2.x, please use Sedona no earlier than 1.6.0.
+
+    If you use Sedona < 1.6.0, please use GeoPandas <= `0.11.1` since GeoPandas > 0.11.1 will automatically install Shapely 2.0. If you use Shapely, please use <= `1.8.5`.
 
 ## Sedona 1.5.1
 

docs/tutorial/geopandas-shapely.md

@@ -1,7 +1,7 @@
 # Work with GeoPandas and Shapely
 
 !!!danger
-	Sedona Python currently only works with Shapely 1.x. If you use GeoPandas, please use <= GeoPandas `0.11.1`. GeoPandas > 0.11.1 will automatically install Shapely 2.0. If you use Shapely, please use <= `1.8.4`.
+	Sedona < 1.6.0 only works with Shapely 1.x and GeoPandas <= `0.11.1`. If you want to use the latest Shapely and GeoPandas, please use Sedona >= 1.6.0.
 
 ## Interoperate with GeoPandas
 
@@ -97,14 +97,15 @@ gdf.plot(
 
 ### Supported Shapely objects
 
-| shapely object  | Available          |
-|-----------------|--------------------|
-| Point           | :heavy_check_mark: |
-| MultiPoint      | :heavy_check_mark: |
-| LineString      | :heavy_check_mark: |
-| MultiLinestring | :heavy_check_mark: |
-| Polygon         | :heavy_check_mark: |
-| MultiPolygon    | :heavy_check_mark: |
+| shapely object     | Available          |
+|--------------------|--------------------|
+| Point              | :heavy_check_mark: |
+| MultiPoint         | :heavy_check_mark: |
+| LineString         | :heavy_check_mark: |
+| MultiLinestring    | :heavy_check_mark: |
+| Polygon            | :heavy_check_mark: |
+| MultiPolygon       | :heavy_check_mark: |
+| GeometryCollection | :heavy_check_mark: |
 
 To create Spark DataFrame based on mentioned Geometry types, please use <b> GeometryType </b> from  <b> sedona.sql.types </b> module. Converting works for list or tuple with shapely objects.
 
@@ -336,3 +337,41 @@ gdf.show(1, False)
 +---+----------------------------------------------------------------------------------------------------------+
 
 ```
+
+### GeomeryCollection example
+
+```python3
+
+from shapely.geometry import GeometryCollection, Point, LineString, Polygon
+
+exterior_p1 = [(0, 0), (0, 2), (2, 2), (2, 0), (0, 0)]
+interior_p1 = [(1, 1), (1, 1.5), (1.5, 1.5), (1.5, 1), (1, 1)]
+exterior_p2 = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0)]
+
+geoms = [
+    Polygon(exterior_p1, [interior_p1]),
+    Polygon(exterior_p2),
+    Point(1, 1),
+    LineString([(0, 0), (1, 1), (2, 2)])
+]
+
+data = [
+    [1, GeometryCollection(geoms)]
+]
+
+gdf = sedona.createDataFrame(
+    data,
+    schema
+)
+
+gdf.show(1, False)
+```
+
+```
++---+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+|id |geom                                                                                                                                                                     |
++---+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+|1  |GEOMETRYCOLLECTION (POLYGON ((0 0, 0 2, 2 2, 2 0, 0 0), (1 1, 1 1.5, 1.5 1.5, 1.5 1, 1 1)), POLYGON ((0 0, 1 0, 1 1, 0 1, 0 0)), POINT (1 1), LINESTRING (0 0, 1 1, 2 2))|
++---+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+
+```

docs/tutorial/sql.md

@@ -922,7 +922,7 @@ This UDF example takes a geometry type input and a primitive type input and retu
 	schemaUDF = StructType([
         StructField("buffed", GeometryType()),
         StructField("length", DoubleType())
-        ])
+    ])
 
 	def bufferAndLength(geom: GeometryType(), distance: DoubleType()):
 		buffed = geom.buffer(distance)
@@ -931,8 +931,8 @@ This UDF example takes a geometry type input and a primitive type input and retu
 
 	sedona.udf.register("udf_bufferLength", bufferAndLength, schemaUDF)
 
-	df.withColumn("bufferLength", expr("udf_bufferLength(geom, buffer)"))
-				.select("geom", "buffer", "bufferLength.*")
+	df.withColumn("bufferLength", expr("udf_bufferLength(geom, buffer)")) \
+				.select("geom", "buffer", "bufferLength.*") \
 				.show()
 	```