[skip-ci][Maps][File upload] Geojson indexing and styling docs (#41394) (#45900)

* Mostly complete, first pass on file upload getting started

* More edits. Add supporting images

* Change name to 'indexing'

* Review feedback

* Update integrated example text per review feedback

* Rename integrated example -> data tutorial

* Add back accidentally deleted Select Source image file

* Review feedback

* Review feedback

* Move tutorial before troubleshooting

* Review feedback
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[role="xpack"]
[[geojson-upload]]
== Upload GeoJSON data
*Elastic 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 the instructions below to upload a GeoJSON data file, or try the
<<indexing-geojson-data-tutorial, end-to-end integrated example>>.
. Open *Elastic Maps*, and then click *Add layer*.
. Click *Upload GeoJSON vector file*.
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[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*.
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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 the lower
right-hand corner.
. In *Layer settings*, adjust any settings or <<maps-vector-style-properties, properties>> as needed.
. Click *Save & close*.

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@ -31,4 +31,6 @@ include::vector-layer.asciidoc[]
include::maps-aggregations.asciidoc[]
include::search.asciidoc[]
include::connect-to-ems.asciidoc[]
include::geojson-upload.asciidoc[]
include::indexing-geojson-data-tutorial.asciidoc[]
include::trouble-shooting.asciidoc[]

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[role="xpack"]
[[indexing-geojson-data-tutorial]]
== Indexing GeoJSON data tutorial
In this tutorial, you'll build a customized map that shows the flight path between
two airports, and the lightning hot spots on that route. You'll learn to:
* Import GeoJSON files into Kibana
* Index the files in {es}
* Display the data in a multi-layer map
[float]
=== Before you begin
This tutorial requires you to download the following GeoJSON sample data files.
These files are good examples of the types
of vector data that you can upload to Kibana and index in
Elasticsearch for display in *Elastic Maps*.
* https://raw.githubusercontent.com/elastic/examples/master/Maps/Getting%20Started%20Examples/geojson_upload_and_styling/logan_international_airport.geojson[Logan International Airport]
* https://raw.githubusercontent.com/elastic/examples/master/Maps/Getting%20Started%20Examples/geojson_upload_and_styling/bangor_international_airport.geojson[Bangor International Airport]
* https://raw.githubusercontent.com/elastic/examples/master/Maps/Getting%20Started%20Examples/geojson_upload_and_styling/lightning_detected.geojson[Lightning detected]
* https://raw.githubusercontent.com/elastic/examples/master/Maps/Getting%20Started%20Examples/geojson_upload_and_styling/original_flight_path.geojson[Original flight path]
* https://raw.githubusercontent.com/elastic/examples/master/Maps/Getting%20Started%20Examples/geojson_upload_and_styling/modified_flight_path.geojson[Modified flight path]
The data represents two real airports, two fictitious flight routes, and
fictitious lightning reports. You don't need to use all of
these files. Feel free to work with as many files as you'd like, or use valid GeoJSON
files of your own.
[float]
[role="xpack"]
=== Create and set up a map
. <<maps-create, Create a new map>>.
. Zoom in on the New England area in the northeast United States.
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You're adding flight paths to this area, and this
sets up the map for a good view of the data.
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[role="screenshot"]
image::maps/images/fu_gs_new_england_map.png[]
[float]
[[upload-and-index-geojson-file]]
=== Upload and index GeoJSON files
For each GeoJSON file you downloaded, complete the following steps:
. Below the map legend, click *Add layer*.
. From the list of layer types, click *Upload GeoJSON vector file*.
. Using the File Picker, upload the GeoJSON file.
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Depending on the geometry type of your features, this will
auto-populate *Index type* with either {ref}/geo-point.html[geo_point] or
{ref}/geo-shape.html[geo_shape] and *Index name* with
`<file name>`.
. Click *Import file* in the lower right.
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You'll see activity as the GeoJSON Upload utility creates a new index
and index pattern for the data set. When the process is complete, you should
receive messages that the creation of the new index and index pattern
were successful.
. Click *Add layer* in the bottom right.
. In *Layer settings*, adjust settings and <<maps-vector-style-properties, properties>> as needed.
. Click *Save & close*.
. Once you've added all of the sample files,
<<maps-save, save your map>>.
+
At this point, you could consider the map complete,
but there are a few additions and tweaks that you can make to tell a
better story with your data.
+
[role="screenshot"]
image::maps/images/fu_gs_flight_paths.png[]
[float]
=== Add a heatmap aggregation layer
Looking at the `Lightning detected` layer, it's clear where lightning has
struck. What's less clear, is if there have been more lightning
strikes in some areas than others, in other words, where the lightning
hot spots are. An advantage of having indexed
{ref}/geo-point.html[geo_point] data for the
lightning strikes is that you can perform aggregations on the data.
. Below the map legend, click *Add layer*.
. From the list of layer types, click *Grid aggregation*.
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Because you indexed `lightning_detected.geojson` using the index name and
pattern `lightning_detected`, that data is available as a {ref}/geo-point.html[geo_point]
aggregation.
. Select `lightning_detected`.
. Click *Show as* and select `heat map`.
. Click *Add layer* to add the heat map layer
"Lightning intensity".
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The remaining default settings are good, but there are a couple of
settings that you might want to change.
. Under *Source settings* > *Grid resolution*, select from the different heat map resolutions.
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The default "Coarse" looks
good, but feel free to select a different resolution.
. Play around with the *Layer Style* >
*Color range* setting.
+
Again the default looks good, but feel free to choose a
different color range.
. When you're finished modifying settings, click *Save & close*.
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With your new lightning heat map layer, your map should look
like this:
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[role="screenshot"]
image::maps/images/fu_gs_lightning_intensity.png[]
[float]
=== Organize the layers
Consider ways you might improve the appearance of the final map.
Small changes in how and when layers are shown can help tell a
better story with your data. Here are a few final tweaks
you might make:
* Update layer names
* Adjust styles for each layer
* Adjust the layer order
* Decide which layers to show at different zoom levels
When you've finished, again be sure to <<maps-save, save your work >>.
Your final map might look like this:
[role="screenshot"]
image::maps/images/fu_gs_final_map.png[]