[maps] 7.10 documentation updates (#79917)

* [maps] 7.10 documenation updates

* clean up

* clean up connect-to-elasticsearch reference to renamed page

* Update docs/maps/vector-layer.asciidoc

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

* review feedback

* move upload intro sentences into geospatial import block

* improvements to Import geospatial data

* fix typo

* Update docs/maps/import-geospatial-data.asciidoc

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

* Update docs/maps/import-geospatial-data.asciidoc

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

* Update docs/maps/import-geospatial-data.asciidoc

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

* Update docs/maps/import-geospatial-data.asciidoc

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

* Update docs/maps/import-geospatial-data.asciidoc

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

* review feedback

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

docs/maps/geojson-upload.asciidoc

@@ -1,44 +0,0 @@
-[role="xpack"]
-[[geojson-upload]]
-== Upload GeoJSON data
-
-Maps makes it easy to import geospatial data into the Elastic Stack.
-Using the GeoJSON Upload feature, you can drag and drop your point and shape
-data files directly into {es}, and then use them as layers
-in the map.  You can also use the GeoJSON data in the broader Kibana ecosystem,
-for example, in visualizations and Canvas workpads.
-
-[float]
-=== Why GeoJSON?
-GeoJSON is an open-standard file format for storing geospatial vector data.
-Although many vector data formats are available in the GIS community,
-GeoJSON is the most commonly used and flexible option.
-[float]
-
-=== Upload a GeoJSON file
-Follow these instructions to upload a GeoJSON data file, or try the
-<<indexing-geojson-data-tutorial, end-to-end integrated example>>.
-
-. Open the menu, go to *Maps*, and then click *Add layer*.
-. Click *Uploaded GeoJSON*.
-+
-[role="screenshot"]
-image::maps/images/fu_gs_select_source_file_upload.png[]
-
-. Use the file chooser to select a valid GeoJSON file. The file will load
-a preview of the data on the map.
-. Use the default *Index type* of {ref}/geo-point.html[geo_point] for point data,
-or override it and select {ref}/geo-shape.html[geo_shape].
-All other shapes will default to a type of `geo_shape`.
-. Leave the default *Index name* and *Index pattern* names (the name of the uploaded
-file minus its extension). You might need to change the index name if it is invalid.
-. Click *Import file*.
-+
-Upon completing the indexing process and creating the associated index pattern,
-the Elasticsearch responses are shown on the *Layer add panel* and the indexed data
-appears on the map. The geospatial data on the map
-should be identical to the locally-previewed data, but now it's indexed data from Elasticsearch.
-
-. To continue adding data to the map, click *Add layer*.
-. In *Layer settings*, adjust any settings or <<maps-vector-style-properties, properties>> as needed.
-. Click *Save & close*.

docs/maps/import-geospatial-data.asciidoc

@@ -0,0 +1,46 @@
+[role="xpack"]
+[[import-geospatial-data]]
+== Import geospatial data
+
+To import geospatical data into the Elastic Stack, the data must be indexed as {ref}/geo-point.html[geo_point] or {ref}/geo-shape.html[geo_shape].
+Geospatial data comes in many formats.
+Choose an import tool based on the format of your geospatial data.
+
+[discrete]
+=== Upload CSV with latitude and longitude columns
+
+*File Data Visualizer* indexes CSV files with latitude and longitude columns as a geo_point.
+
+. Open the side navigation menu, and click *Machine Learning*.
+. Select the *Data Visualizer* tab, then click *Upload file*.
+. Use the file chooser to select a CSV file.
+. Click *Import*.
+. Select the *Advanced* tab.
+. Set *Index name*.
+. Click *Add combined field*, then click *Add geo point field*.
+. Fill out the form and click *Add*.
+. Click *Import*.
+
+[discrete]
+=== Upload a GeoJSON file
+
+*Upload GeoJSON* indexes GeoJSON features as a geo_point or geo_shape.
+
+. <<maps-create>>.
+. Click *Add layer*.
+. Select *Upload GeoJSON*.
+. Use the file chooser to select a GeoJSON file.
+. Click *Import file*.
+
+[discrete]
+=== Upload data with IP addresses
+
+The GeoIP processor adds information about the geographical location of IP addresses.
+See {ref}/geoip-processor.html[GeoIP processor] for details.
+For private IP addresses, see https://www.elastic.co/blog/enriching-elasticsearch-data-geo-ips-internal-private-ip-addresses[Enriching data with GeoIPs from internal, private IP addresses].
+
+[discrete]
+=== Upload data with GDAL
+
+https://www.gdal.org/[GDAL] (Geospatial Data Abstraction Library) contains command line tools that can convert geospatial data between 75 different geospatial file formats and index that geospatial data into {es}.
+See https://www.elastic.co/blog/how-to-ingest-geospatial-data-into-elasticsearch-with-gdal[Ingest geospatial data into Elasticsearch with GDAL] for details.

docs/maps/index.asciidoc

@@ -56,6 +56,6 @@ include::maps-aggregations.asciidoc[]
 include::search.asciidoc[]
 include::map-settings.asciidoc[]
 include::connect-to-ems.asciidoc[]
-include::geojson-upload.asciidoc[]
+include::import-geospatial-data.asciidoc[]
 include::indexing-geojson-data-tutorial.asciidoc[]
 include::trouble-shooting.asciidoc[]

docs/maps/indexing-geojson-data-tutorial.asciidoc

@@ -47,7 +47,7 @@ image::maps/images/fu_gs_new_england_map.png[]
 For each GeoJSON file you downloaded, complete the following steps:
 
 . Click *Add layer*.
-. From the list of layer types, click *Uploaded GeoJSON*.
+. From the list of layer types, click *Upload GeoJSON*.
 . Using the File Picker, upload the GeoJSON file.
 +
 Depending on the geometry type of your features, this will

docs/maps/map-settings.asciidoc

@@ -9,12 +9,16 @@ To access these settings, click *Map settings* in the application toolbar.
 [[maps-settings-navigation]]
 === Navigation
 
+*Auto fit map to bounds*::
+When enabled, the map will automatically pan and zoom to show the filtered data bounds.
+
 *Zoom range*::
 Constrain the map to the defined zoom range.
 
 *Initial map location*::
 Configure the initial map center and zoom.
 * *Map location at save*: Use the map center and zoom from the map position at the time of the latest save.
+* *Auto fit map to bounds*: Set the initial map location to show the filtered data bounds.
 * *Fixed location*: Lock the map center and zoom to fixed values.
 * *Browser location*: Set the initial map center to the browser location.
 

docs/maps/maps-getting-started.asciidoc

@@ -50,7 +50,7 @@ In this tutorial, you'll learn to:
 
 The first thing to do is to create a new map.
 
-. If you haven't already, open the menu, then click *{kib} > Maps*.
+. If you haven't already, click *{kib} > Maps* from the side navigation.
 . On the maps list page, click *Create map*.
 . Set the time range to *Last 7 days*.
 +

docs/maps/search.asciidoc

@@ -49,6 +49,7 @@ Spatial filters have the following properties:
 * *Geometry label* enables you to provide a meaningful name for your spatial filter.
 * *Spatial field* specifies the geo_point or geo_shape field used to determine if a document matches the spatial relation with the specified geometry.
 * *Spatial relation* determines the {ref}/query-dsl-geo-shape-query.html#_spatial_relations[spatial relation operator] to use at search time. Only available when *Spatial field* is set to geo_shape.
+* *Action* specifies whether to apply the filter to the current view or to a drilldown action. Only available when the map is a panel in a {kibana-ref}/dashboard.html[dashboard] with {kibana-ref}/drilldowns.html[drilldowns].
 
 [float]
 [[maps-phrase-filter]]
@@ -56,6 +57,7 @@ Spatial filters have the following properties:
 
 A phrase filter narrows search results to documents that contain the specified text.
 You can create a phrase filter by clicking the plus icon image:maps/images/gs_plus_icon.png[] in a <<maps-vector-tooltip-locking, locked tooltip>>.
+If the map is a dashboard panel with drilldowns, you can apply a phrase filter to a drilldown by selecting the drilldown action.
 
 [role="screenshot"]
 image::maps/images/create_phrase_filter.png[]

docs/maps/vector-layer.asciidoc

@@ -17,8 +17,19 @@ The index must contain at least one field mapped as {ref}/geo-point.html[geo_poi
 *Documents*:: Points, lines, and polyons from Elasticsearch.
 The index must contain at least one field mapped as {ref}/geo-point.html[geo_point] or {ref}/geo-shape.html[geo_shape].
 
-NOTE: Document results are limited to the `index.max_result_window` index setting, which defaults to 10000.
-Use <<maps-aggregations, aggregations>> to plot large data sets.
+Results are limited to the `index.max_result_window` index setting, which defaults to 10000.
+Select the appropriate *Scaling* option for your use case.
+
+* *Limit results to 10000.* The layer displays features from the first `index.max_result_window` documents.
+Results exceeding `index.max_result_window` are not displayed.
+
+* *Show top hits per entity.* The layer displays the <<maps-top-hits-aggregation, most relevant documents per entity>>.
+
+* *Show clusters when results exceed 10000.* When results exceed `index.max_result_window`, the layer uses {ref}/search-aggregations-bucket-geotilegrid-aggregation.html[GeoTile grid aggregation] to group your documents into clusters and displays metrics for each cluster. When results are less then `index.max_result_window`, the layer displays features from individual documents.
+
+* *Use vector tiles.* Vector tiles partition your map into 6 to 8 tiles.
+Each tile request is limited to the `index.max_result_window` index setting.
+Tiles exceeding `index.max_result_window` have a visual indicator when there are too many features to display.
 
 *EMS Boundaries*:: Administrative boundaries from https://www.elastic.co/elastic-maps-service[Elastic Maps Service].
 

docs/setup/connect-to-elasticsearch.asciidoc

@@ -20,10 +20,10 @@ to see all that you can do in {kib}.
 
 experimental[]
 
-To visualize data in a CSV, JSON, or log file, you can upload it using the File 
-Data Visualizer. On the home page, click *Import a CSV, NDSON, or log file*, and 
-then drag your file into the File Data Visualizer. Alternatively, you can open 
-it by navigating to *Machine Learning* from the side navigation and selecting 
+To visualize data in a CSV, JSON, or log file, you can upload it using the File
+Data Visualizer. On the home page, click *Import a CSV, NDSON, or log file*, and
+then drag your file into the File Data Visualizer. Alternatively, you can open
+it by navigating to *Machine Learning* from the side navigation and selecting
 *Data Visualizer*.
 
 [role="screenshot"]
@@ -45,16 +45,12 @@ repeated production process, but rather for the initial exploration of your data
 [[upload-geoipdata-kibana]]
 === Upload geospatial data
 
-To visualize geospatial data in a point or shape file, you can upload it using the <<geojson-upload, GeoJSON Upload>>
+To visualize geospatial data in a point or shape file, you can upload it using the <<import-geospatial-data, GeoJSON Upload>>
 feature in Maps, and then use that data as a layer in a map.
 The data is also available for use in the broader Kibana ecosystem, for example,
 in visualizations and Canvas workpads.
 With GeoJSON Upload, you can upload a file up to 50 MB.
 
-[role="screenshot"]
-image::images/fu_gs_select_source_file_upload.png[]
-
-
 [float]
 [[add-data-tutorial-kibana]]
 ===  Index metrics, log, security, and application data