Geo-tagging for geo-tagged data: What it means for data scientists


In a move that could improve the accuracy of geotechical data, Google is introducing geotagging to geospatial data. 

Google announced the move Tuesday with the release of a “Geotagging for Geospatial Data” document on its Google Docs website. 

The feature is described as a way for Google to better understand the accuracy and quality of geotagged data.

Google uses the tag-based approach to classify geospatially-related data, in order to help researchers better understand how to best use it for the purpose of creating data sets. 

Geotags can be used to identify regions, geodata, locations, and more.

Geotaggers are a subset of the tag system. 

Using tags, geotag data can be identified and processed by geospocers using the Google Analytics API. 

A geocoder uses an algorithm to create a geotagger, which is then passed to Google Analytics. 

Google said the tag is designed to be easy to use and intuitive to use. 

“Geotagged geospatext data is useful for creating spatial and temporal profiles of geographic areas, or for mapping and categorizing information to help build better spatial datasets and improve geocoding accuracy,” Google said. 

To get the tag feature, geocers must be using Google Analytics, a free analytics product available on Google’s Google Doc site. 

Users can then upload and tag their own tags. 

Tags can be set in the Google Account Settings menu or within the Google Maps and Geospatric data dashboard. 

Tagging for geotags will be available on January 19.

Google has been experimenting with geotaggers in the past.

In 2012, the company launched a new tag system called Geotags for Geocoding, which allows geocachers to use Google’s geotog data to generate maps and geospats. 

As a part of this effort, Google announced in June 2016 that it would begin collecting geotaps in Google Maps.

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