Three examples of how to improve your visualizaiton of geospatial data using different techniques.

1. A SERIES OF UNFORTUNATE MAPS
AND HOW TO FIX THEM WITH CARTO BUILDER
SUPPORT TEAM MANAGER & SOLUTIONS ENGINEER
JORGE SANZ - jorge@carto.com

2. HOW TO VISUALIZE
ALL NON-DOMINANT CATEGORIES
FROM A 10M DATASET

3. PROBLEMS
1. COUNT(*) = 9,855,420
2. COUNT(DISTINCT category) = 294
3. COUNT(*) WHERE category ~* ‘telefonica’ = 4,141,712
4. Row order

4. Density map with
a 30 % subsample
and screen blending
v0

5. Category map with
a 30 % subsample
v 1

6. ORDERING
1. Normalize categories.
2. Create a simple table like this one:
3. JOIN the original dataset with this new table,
using the category column as foreign key.
4. ORDER the table by category column setting
ASC in order to show the categories with less
rows first.
category order
telefonica 1
vodafone 2
orange 3
yoigo 4
other 5

7. STYLING
You can change marker opacity
to change the visual prominence
of a category
Markers on top can be more
transparent than the ones at the
bottom

9. HOW TO SHOW
MANY POINTS THAT SHARE
THE SAME LOCATION

10. PROBLEMS 1. POINTS SHARING SAME LOCATION
2. NO INTERACTIVITY

11. HEATMAP
SPIDERINGCLUSTERING

12. STACKING CHIPS
1. PostGIS:
● GROUP BY the_geom
● ORDER BY y-axis
● Generate p value
2. CartoCSS (or Javascript):
● Translate
● Offset based on zoom
level

14. JSON on SQL
and loops on popups
AGGREGATING
POINTS
1. Aggregate one field:
● json_agg()
2. Aggregate several fields:
● json_agg(row_to_json())

16. HOW TO SYMBOLIZE
DIFFERENT ATTRIBUTES ON THE
SAME LAYER GEOMETRY

17. PROBLEMS 1. TOO MANY VARIABLES WITHOUT HIERARCHY
2. SAME LAYER GEOMETRY

18. Tools to filter data in
real-time to identify trends
& relationships
WIDGETS

21. Visualize the
multi-dimensional
nature of your data in
real-time
AUTO-STYLE

25. TURBO CARTO

26. polygon-fill:
ramp([masters_degree],cartocolor(PurpOr),quantiles(5));
Thematic map styling with a
single line of code
TURBO CARTO
[masters_degree <= 0.451523545706371] {polygon-fill: #6c2167;}
[masters_degree <= 0.200426439232409] {polygon-fill: #a24186;}
[masters_degree <= 0.137369033760186] {polygon-fill: #ca699d;}
[masters_degree <= 0.0843373493975904] {polygon-fill: #e498b4;}
[masters_degree <= 0.0418410041841004] {polygon-fill: #f3cbd3;}

27. Designed specifically for use with
CARTO basemaps or not...
CARTO COLORS

28. Data driven color schemes
CARTO COLORS
SEQUENTIAL
DIVERGING
QUALITATIVE

29. CONCLUSIONS

30. SUPPORT TEAM MANAGER & SOLUTIONS ENGINEER
THANKS!
A SERIES OF UNFORTUNATE MAPS
http://bit.ly/170719-unfortunate-maps
JORGE SANZ - jorge@carto.com