Learn how Analysts and Data Scientists use CARTO Analytics Toolbox to unlock more than 100 spatial functions in BigQuery to enhance data, run advanced spatial analysis and apply industry-specific models to drive business decisioning. You can watch the webinar here: https://go.carto.com/webinars/analytics-toolbox-for-bigquery

1. Advanced Spatial Analysis in
BigQuery using CARTO
Analytics Toolbox
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2. CARTO — Unlock the power of spatial analysis
Introductions
Margara Tejera
Product Manager at CARTO
Miguel Álvarez
Lead Data Scientist at CARTO

3. CARTO — Unlock the power of spatial analysis
Agenda
Intro to the Analytics Toolbox for BigQuery
Functions that we are going to learn today
Use case: Advanced spatial analysis to find the best new
locations in Honolulu
Questions and Answers

4. CARTO — Unlock the power of spatial analysis
POLL 1
Data Analyst ………..…………………………………………………………….
Data Scientist ………………….……….………………………………………..
Developer …..…………………………………...………………………………..
What’s your current role?
Other …..…………………………………………………………………………….

5. CARTO — Unlock the power of spatial analysis
CARTO now brings together cloud connectivity, visualization, spatial analysis and
development capabilities in a unified workspace.
The new cloud native CARTO

6. CARTO — Unlock the power of spatial analysis
The Analytics Toolbox for
BigQuery

7. CARTO — Unlock the power of spatial analysis
● UDFs and Stored Procedures that unlock
advanced Spatial Analytics natively within
BigQuery.
● Executed directly from the CARTO
Workspace or from your BigQuery
console or client, using simple SQL
commands.
Overview

8. CARTO — Unlock the power of spatial analysis

9. CARTO — Unlock the power of spatial analysis
Functions we are going to
learn

10. CARTO — Unlock the power of spatial analysis
Computes a buffer around a
geometry
→ Documentation
ST_BUFFER

11. CARTO — Unlock the power of spatial analysis
Converts a polygon into a collection
of H3 cells at a certain resolution
→ Documentation
H3_POLYFILL

12. CARTO — Unlock the power of spatial analysis
Computes the number of grid cells
between a pair of cells
→ Documentation
H3_DISTANCE

13. CARTO — Unlock the power of spatial analysis
Enrichment of an H3 grid with Data
Observatory data
→ DATAOBS_SUBSCRIPTIONS
→ DATAOBS_SUBSCRIPTION_VARIABLES
→ DATAOBS_ENRICH_GRID
Enrichment with
Data Observatory

14. CARTO — Unlock the power of spatial analysis
Find hotspots according to a set of
weighted variables
→ Documentation
COMMERCIAL
HOTSPOTS

15. CARTO — Unlock the power of spatial analysis
Find spatial outliers based on the
local outlier factor
→ Documentation
LOF

16. CARTO — Unlock the power of spatial analysis
Use case
Opening a new Pizza Hut location in
Honolulu
● Not enough data points to
use a predictive model
● Spatial indexes: H3 grid cells
of resolution 10
● Target demographics: male
and female ages 18 - 34
● Based on commercial
hotspots and the presence of
competitors

17. CARTO — Unlock the power of spatial analysis
It’s time for a real world example!

18. Thanks for listening!
Any questions?
Request a demo at CARTO.COM
Miguel Álvarez
Lead Data Scientist // malvarez@carto.com
Margara Tejera
Product Manager // mtejera@carto.com