This document provides instructions for creating region maps in Kibana using IP2Location data. It explains that region maps color boundary shapes using a gradient to show metrics. The tutorial demonstrates making a map of US regions using IP2Location data processed by a plugin. Users select the region field, configure aggregation metrics, layers, and join fields to plot regional details on the map.

1. HOW TO CREATE REGION MAPS
DISPLAY IN KIBANA
--- https://www.ip2location.com ---

2. CREATE REGION MAPS VIA
THE KIBANA VISUALIZE SERVICE
• Region maps are thematic maps in which boundary vector shapes
are colored using a gradient.
• The region maps in Kibana provides various selections of vector
map.
• We can learn more about our visitors with region maps. For
example, where are they coming from, what is their time zone and
much more.

3. CREATE REGION MAPS
USING IP2LOCATION DATA
• This tutorial will demonstrate how to create region maps for the United
States of America in Kibana.
• Please note that the Region vector used in Kibana may not exactly match
with the region name used in IP2Location.
• To follow this tutorial, you must have a working version of Kibana in your
machine together with the data that had been processed by the
IP2Location plugin https://blog.ip2location.com/knowledge-base/how-to-
use-ip2location-filter-plugin-with-elastic-stack/.

4. 1. Go to the Kibana home page and click on the Visualize menu.

5. 2. In the Visualize page, click on the “+” button and select Region
Map from the list.

6. 3. Select the index and proceed.
4. Configure the Aggregation Metrics
and Buckets Metrics as shown
beside. You should see the
IP2Location object in the field input
box. Select the region keyword
data.

7. 5. Click on the Options tab and
configure the Layers Settings.
Select the USA States from the
Vector map and name from the
Join field drop-down.
6. Click on the button as shown to
apply changes.

8. 7. Done.
Once you’ve done the configuration steps, the details of the United
States of America regions will be plotted on the map as shown:

9. For more
articles,
please visit:
https://blog.ip2location.com