kibana/docs/maps/import-geospatial-data.asciidoc
Nathan Reese 2eae0969cb
[file upload] document file upload privileges and provide actionable UI when failures occur (#95883)
* [file upload] document file upload privileges and provide actionable UI when failures occur

* doc link

* call hasImportPermission

* docs tweeks

* tslint

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

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

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

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

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

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2021-04-05 13:39:15 -06:00

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[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]
[[import-geospatial-privileges]]
=== Security privileges
The {stack-security-features} provide roles and privileges that control which users can upload files.
You can manage your roles, privileges, and
spaces in **{stack-manage-app}** in {kib}. For more information, see
{ref}/security-privileges.html[Security privileges],
<<kibana-privileges, {kib} privileges>>, and <<xpack-kibana-role-management, {kib} role management>>.
To upload GeoJSON files in {kib} with *Maps*, you must have:
* The `all` {kib} privilege for *Maps*.
* The `all` {kib} privilege for *Index Pattern Management*.
* The `create` and `create_index` index privileges for destination indices.
* To use the index in *Maps*, you must also have the `read` and `view_index_metadata` index privileges for destination indices.
To upload CSV files in {kib} with the *{file-data-viz}*, you must have privileges to upload GeoJSON files and:
* The `manage_pipeline` cluster privilege.
* The `read` {kib} privilege for *Machine Learning*.
* The `machine_learning_admin` or `machine_learning_user` role.
[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 main menu, then 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, Create a new map>>.
. 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.