In this webinar in partnership with WorldPop, you learn about how high-resolution data on human population distribution & characteristics are becoming more & more important. You can watch the recorded webinar at: https://go.carto.com/webinars/worldpop-global-demographic-insights
2. CARTO — Unlock the power of spatial analysis
Introductions
Giulia Carella
Data Scientist at CARTO
Andrew Tatem
Director of WorldPop
3. CARTO — Unlock the power of spatial analysis
CARTO is the platform to build
powerful Location Intelligence apps
with the best data streams available.
5. CARTO — Unlock the power of spatial analysis
Agenda
● WorldPop: Mapping population distributions, demographics and dynamics
● WorldPop in CARTO: how do I access the data?
● Why high-resolution population data matters for location intelligence, a tale of
two cases
○ Site Planning
○ Supply Chain Management
6. CARTO — Unlock the power of spatial analysis
No, but I knew about WorldPop
No, and I didn’t know about WorldPop
POLL 1
Yes
Have you used any of WorldPop data products?
8. CARTO — Unlock the power of spatial analysis
Mapping population distributions,
demographics and dynamics
https://drive.google.com/file/d/1-OHn84_jzgWQkX93GadBiaXV7n-XUSzn/view?usp=sharing
9. CARTO — Unlock the power of spatial analysis
POLL 2
Population Counts
Age and Sex Structures
Dynamic Population Mapping
If you have answered yes to the previous question, which data
products have you used?
Global Flight Data
Others
10. CARTO — Unlock the power of spatial analysis
WorldPop in CARTO
11. CARTO — Unlock the power of spatial analysis
What is CARTO Data Observatory?
12. CARTO — Unlock the power of spatial analysis
Which data are hosted in CARTO
Data Observatory?
Financial
Human Mobility
Road Traffic
Demographics
Housing
POI’s
Environmental
Global Boundaries
GeoSocial COVID-19
https://carto.com/platform/spatial-data-catalog/
13. CARTO — Unlock the power of spatial analysis
WorldPop Population Counts
● Global 2000 - 2020 at 1
km resolution
● Global 2000 - 2020 at
100 m resolution
14. CARTO — Unlock the power of spatial analysis
It’s time for a practical session on how to
access WorldPop data in CARTO!
https://colab.research.google.com/drive/1YW8olUi4Mw5Md71YfofY
6z5zWy2wR37O#scrollTo=ugYv0YOQ3NZ3
15. CARTO — Unlock the power of spatial analysis
Boosting Location Intelligence with
WorldPop data
Site Planning
Site planning is the process of using data to identify locations for opening, closing,
relocating or repurposing sites - whether it be stores, branches, ATMs, distribution
centres, hospitals or airports.
● Data come in different geographical supports, how can they be combined?
● Location Planning Analysts need data at high-granularity, e.g. demographic, human
mobility, and socioeconomic data
16. CARTO — Unlock the power of spatial analysis
Generate high-resolution socioeconomic
data
Carella et al., accepted to KDD Humanitarian Mapping Workshop https://arxiv.org/abs/2006.13152
● Human mobility data are
available at high resolution.
● Census data are typically not
available at scales finer than
Census units.
● Downscale key socioeconomic
Census variables using
WorldPop population counts
and geographical data as
drivers.
17. CARTO — Unlock the power of spatial analysis
PPC
A
High-resolution data (150 m x 150 m)
Low-resolution data (Census block groups)
● Select a origin location
● Find all the most locations
according to a set of variables and
a scoring rule
Finding similarities
18. CARTO — Unlock the power of spatial analysis
Boosting Location Intelligence with
WorldPop data
Location Intelligence plays a critical role in Supply Chain Management (SCM) as many of its
processes have a very strong spatial component. Some examples of supply chain planning
processes with a spatial component are:
● Strategic planning: Facility location, transportation and distribution network design
● Tactical planning: Demand forecasting, last mile distribution areas design
● Operational planning: Routing
Supply Chain Management
19. CARTO — Unlock the power of spatial analysis
Calculating Optimal Delivery Areas Based on
Distance, Population Counts and DC Utilization
20. CARTO — Unlock the power of spatial analysis
Calculating Optimal Delivery Areas Based on
Distance, Population Counts and DC Utilization
● Identify where there is more demand.
● Use a linear optimization model
setting the following costs in the
objective function:
○ Average distance traveled
○ Deviation from a perfect balance
of workload in the DCs during
the peak season
○ Deviation from a perfect balance
of population covered by DC
capacity
21. Thanks for listening!
Any questions?
Request a demo at CARTO.COM
Andrew Tatem
Director of WorldPop // A.J.Tatem@soton.ac.uk
Giulia Carella
Data Scientist at CARTO // giulia@carto.com // @giulicarella