Spatial
Data
Science
Conference
Online•
Discover the highlights from 2020's largest Spatial Data Science Conference.
Discover the highlights from 2020's largest Spatial Data Science Conference.
Problem solvers from Data Science, GIS and Analytics communities came together in a virtual event to look at 38 different spatial analysis projects in the private and public sectors, as well as non-profits and academia. We looked at new types of location data, innovative spatial modeling techniques as well as best practice for sharing location-based insights.
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Opening Keynote: Looking to the future of Cloud Native Spatial Analysis
Empowering People to Experience the World with Spatial Data Science
Knowing the Difference Between Bedford, Buckingham & Broadchurch
Mapping Spatial Insights to Value
Commercial Real Estate Research & Geospatial Analysis
Back to Basics: Building a Suite of Store Typologies
Returning to the Great Outdoors: How Spatial Data Powers the Reimagination of OOH
How to Build a Massive Agent-Based Transport Model to Plan the Future
Using ML to Produce Spatial Statistics on Energy Efficiency in Housing
A Bayesian Spatial Analysis of the Association of Socioeconomic Inequality, Epidemiological Conditions and Human Mobility Changes During the Us COVID-19 Epidemic
Street Scale Urban Dynamics: Understanding Urban Activity Using WiFi Data
Indexing the World's Waste
Bringing Geo to Data Science vs. Bringing Data Science to Geo
Worldview to Experian: Helping You Measure and Prioritise International Opportunities
Enriching your Analytics with Geographic Data Science
How to Use Synthetic Data to Accelerate Image Analysis and Improve Detection Results
Unlock location data with Placekey
Integrating CARTOframes into Spatial Data Science workflows
Supporting COVID-19 Response with Consumer Data Research
Mapping C-19: There’s an App for That
Usage of Spatial and Mobile Data to Assess the Compliance of Quarantine After Receiving a Positive Result of COVID-19 - Ecuador
Using Geospatial Analytics for Tactical & Strategic Planning
The Value of New Spatial Data Streams vs. COVID-19
Boost your Applications with In-Database Spatial and Machine Learning
Uncovering customer behavioral changes from disparate datasets with SQL
Geospatial Risk Models for Decision-Making in Global Health
Spatial Data, Informed Policy: Confronting Waves of COVID-19
The Social Meanings of Local Mobility
Vocalizing Gender-Based Statistics using Spatial Insights
Unthrottling your spatial analysis, no matter the scale
From Noise to Signal - How to Overcome Common Problems in Location Data
Leveraging Converged Database for Location-based Contact Tracing
Communicating Conditional Simulations of Land Contamination to Local Residents
Using Hexagons to Address Risk
Why Spatial Matters In The Fight Against Climate Change
At #SDSC20, The Spatial Data Scientist of the Year Award was presented to Dani Arribas-Bel for his work to advance research in Spatial Data Science. You can read more about Dani and other shortlisted candidates on our blog.
