Giulia Carella

Giulia Carella is a Data Scientist at CARTO. She holds a PhD in Applied Statistics and has experience in the development and application of statistics and machine learning methods for spatio-temporal data, with applications ranging from climate science to spatial demography.

Scale your signal propagation analysis with CARTO Workflows

Giulia Carella · Feb 25, 2025

Scale your signal propagation analysis with CARTO Workflows

Scale signal propagation analysis with CARTO Workflows—cloud-native, low-code, and powerful. Optimize 5G planning and network coverage with ease.

Spatial Data Science

Space-time anomaly detection for smarter property risk assessment

Giulia Carella · Feb 11, 2025

Space-time anomaly detection for smarter property risk assessment

Learn how to detect crime anomalies & assess property risk in near real-time using CARTO Workflows—low-code spatial analytics for scalable spatial data science

Spatial Data Science

Create a Spatial Priority Score to Improve Network Access

Estefania Puente · Feb 26, 2024

Create a Spatial Priority Score to Improve Network Access

Learn how to create a spatial priority score to improve network access for senior citizens. Explore data integration, regression models, and AI insights.

Spatial Data Science

Using Spatial Composites for Climate Change Impact Assessment

Lucía García-Duarte · Jun 20, 2023

Using Spatial Composites for Climate Change Impact Assessment

Learn how to assess climate change risks with spatial composites; measure impacts and support decision-making for infrastructure & natural resources.

Spatial Data Science

How to Use Spatial Data to Create a Wildfire Risk Map

Lucía García-Duarte · May 17, 2022

How to Use Spatial Data to Create a Wildfire Risk Map

Mitigate wildfire risks with our guide on creating a Wildfire Risk Map. Explore spatial analysis using Weather Source & CARTO for informed decision-making.

Spatial Data Science

Locating High Performing Retail Expansion Sites

Giulia Carella · Apr 27, 2022

Locating High Performing Retail Expansion Sites

The Retail module in our Analytics Toolbox for Google BigQuery now includes Twin Areas analysis, an essential tool in Site Selection analytics. Learn more.

Cloud Native

Distance-based functions for the spatial analysis of point data in BigQuery

Margara Tejera · Dec 15, 2021

Distance-based functions for the spatial analysis of point data in BigQuery

We are pleased to introduce 3 new functions for point data analysis in our Analytics Toolbox for Google Cloud BigQuery: K-nearest neighbors, Local Outlier Factor, & G-function

Use cases

Geographically weighted regression for spatial analysis in BigQuery

Giulia Carella · Dec 2, 2021

Geographically weighted regression for spatial analysis in BigQuery

We are pleased to announce that the CARTO Analytics Toolbox for BigQuery now supports the Geographically Weighted Regression method–read about its usage.

Spatial Data Science

Uncovering Site Selection Strategies using Point of Interest Data

Giulia Carella · Sep 10, 2021

Uncovering Site Selection Strategies using Point of Interest Data

Discover how Point of Interest (POI) data can be used to uncover site selection strategies of leading brands in the US including McDonald's, Starbucks, & Subway

Use cases

How Socioeconomic Factors relate to Mobility during COVID-19

Giulia Carella · Sep 1, 2020

How Socioeconomic Factors relate to Mobility during COVID-19

A detailed geospatial analysis of how changes & regional disparity in human mobility during the COVID-19 lockdown can be related to socioeconomic indicators.

Spatial Data Science