47 lines
1.8 KiB
Plaintext
47 lines
1.8 KiB
Plaintext
[role="xpack"]
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[[import-geospatial-data]]
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== Import geospatial data
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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].
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Geospatial data comes in many formats.
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Choose an import tool based on the format of your geospatial data.
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[discrete]
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=== Upload CSV with latitude and longitude columns
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*File Data Visualizer* indexes CSV files with latitude and longitude columns as a geo_point.
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. Open the main menu, then click *Machine Learning*.
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. Select the *Data Visualizer* tab, then click *Upload file*.
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. Use the file chooser to select a CSV file.
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. Click *Import*.
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. Select the *Advanced* tab.
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. Set *Index name*.
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. Click *Add combined field*, then click *Add geo point field*.
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. Fill out the form and click *Add*.
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. Click *Import*.
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[discrete]
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=== Upload a GeoJSON file
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*Upload GeoJSON* indexes GeoJSON features as a geo_point or geo_shape.
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. <<maps-create, Create a new map>>.
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. Click *Add layer*.
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. Select *Upload GeoJSON*.
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. Use the file chooser to select a GeoJSON file.
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. Click *Import file*.
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[discrete]
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=== Upload data with IP addresses
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The GeoIP processor adds information about the geographical location of IP addresses.
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See {ref}/geoip-processor.html[GeoIP processor] for details.
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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].
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[discrete]
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=== Upload data with GDAL
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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}.
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See https://www.elastic.co/blog/how-to-ingest-geospatial-data-into-elasticsearch-with-gdal[Ingest geospatial data into Elasticsearch with GDAL] for details.
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