Fixes to compiled docs.

Author: metasim

docs/src/main/tut/apps/geotrellis-ops.md

@@ -34,7 +34,7 @@ Here's an example downsampling a tile and rendering each tile as a matrix of num
 ```tut  
 val downsample = udf((t: Tile) => t.resample(4, 4))
 val downsampled = rf.where(no_data_cells($"tile") === 0).select(downsample($"tile") as "minime")
-downsampled.select(tile_to_array[Float]($"minime") as "cell_values").limit(2).show(false)
+downsampled.select(tile_to_array_double($"minime") as "cell_values").limit(2).show(false)
 ```
 
 

docs/src/main/tut/exporting-rasterframes.md

@@ -27,11 +27,11 @@ The cell values within a `Tile` are encoded internally as an array. There may be
 where the additional context provided by the `Tile` construct is no longer needed and one would
 prefer to work with the underlying array data.
 
-The @scaladoc[`tileToArray`][tileToArray] column function requires a type parameter to indicate the array element
+The @scaladoc[`tile_to_array_int`][tile_to_array_int] column function requires a type parameter to indicate the array element
 type you would like used. The following types may be used: `Int`, `Double`, `Byte`, `Short`, `Float`
 
 ```tut
-val withArrays = rf.withColumn("tileData", tileToArray[Short]($"tile")).drop("tile")
+val withArrays = rf.withColumn("tileData", tile_to_array_int($"tile")).drop("tile")
 withArrays.show(5, 40)
 ```
 
@@ -186,5 +186,5 @@ spark.stop()
 [rfInit]: astraea.spark.rasterframes.package#rfInit%28SQLContext%29:Unit
 [rdd]: org.apache.spark.sql.Dataset#frdd:org.apache.spark.rdd.RDD[T]
 [toTileLayerRDD]: astraea.spark.rasterframes.RasterFrameMethods#toTileLayerRDD%28tileCol:RasterFrameMethods.this.TileColumn%29:Either[geotrellis.spark.TileLayerRDD[geotrellis.spark.SpatialKey],geotrellis.spark.TileLayerRDD[geotrellis.spark.SpaceTimeKey]]
-[tileToArray]: astraea.spark.rasterframes.ColumnFunctions#tileToArray
+[tile_to_array_int]: astraea.spark.rasterframes.ColumnFunctions#tile_to_array_int