Think Spatially > Add Data to Your Location Models

Map of The Month: Trajectories of Neighborhood Change

Socio-Economic Inequalities are documented for view and examination in this mapping tool from https://carto.com/blog  

 

RECORDED WEBINAR

Think Spatial: Don't Ignore Location in your Models!
Link > https://go.carto.com

Data with a spatial component is increasingly used in data science modelling practices but the spatial nature of the  data is rarely taken into account. Spatial data science involves a skillset ranging from the visualization of data on a map to modelling (at feasible computational cost) spatially correlated errors.

 In this technical webinar, Giulia Carella (Data Scientist) and Steve Isaac (Content Marketing Manager) share how thinking spatially can help you to build powerful models that outperform the typical data science tools.  The webinar covers two areas:
 > Introduction to spatial modelling, including tools to build such statistical models, estimate their parameters, and perform predictions.

> Demos of practical use cases where spatial models are useful and how to implement them taking advantage of CARTO’s tech stack (including CARTO Data Observatory for data enrichment, and CARTOframes for visualizations and returning spatial SQL queries).

A pdf of the slides from the presentation is also available for download here. 

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