There are a number of other sources out there that build and provide geojson files for you to download and use, your favourite search engine can help locate them for you. If you download the file, extract it and take a look in it, you will find a repetitive structure, with the geoshapes we need and other fields that we will use later. has a number of high quality maps and for this post we'll be using the Australian State file. regionmap - a visualisation in Kibana used to show the results of aggregations that have been bucketed into geoshapes and then geographically mapped.geoshape - an array of points that represent latitude and longitudes to form a polygon.geojson - a json file that contains one or more geoshapes that are specified in a standardised format.

If you'd like to replicate this blog post as you read it, the code for doing so is all here.īefore we start, let's define a few words that we will use throughout this post that you may be unfamiliar with, or have heard elsewhere in different contexts We've touched on this previously in a blog post, but let's dig into this some more and run through a practical example of how to deploy it step by step in the Elastic Stack! This is a simple yet very powerful method for providing localised insights from your datasets. This allows users to define custom geo-boundaries as geojson format, then overlay them on the Elastic Map Service to display aggregations for custom geographical areas natively in Kibana.

In Kibana 5.5 we added the ability to define your own region maps, which are also also known as choropleth maps. Please reference the map custom regions with reverse geocoding documentation for current instructions. Editor's Note (August 3, 2021): This post uses deprecated features.

They are billions custom map