Open your data with CartoDB
Geocamp ES, Sevilla, June 2015
http://bit.ly/cdb-geocampes15
Jorge Sanz — Solutions Engineer
jsanz@cartodb.com @xurxosanz
Pedro-Juan Ferrer Matoses - Project Manager
pferrer@osgeo.org @vehrka

o cómo ir a por kiwis y volver con lana

Agenda
• Climate data visualization
• De casa al cole
• Antipodes map
• PLUTO Plus
• And more

http://climate-viz.jorgesanz.net

1. “All I can do in 48 hours”
2. Data extracted from an Amazon EBS volume
3. Had to buy paid account, moved to free after some cleaning :-)
4. Jekyll website with bootstrap
5. Hosting on Amazon S3: http://climate-viz.jorgesanz.net
6. CartoDB.js + leaflet + D3 for the table and graphs render)
7. https://github.com/jsanz/climate-viz
Climate data visualization
Details

WITH stations AS (
SELECT station_id id, name
FROM stations
WHERE cartodb_id = 3150
) SELECT
stations.name,
o.obs_month, o.max_tmp, o.min_tmp, o.tmp,
o.rain_count, o.snow_count, o.thunder_co
FROM observations_month o, stations
WHERE station_id=stations.id
ORDER BY o.obs_month
Climate data visualization

http://decasaalcole.com

1. 5 people project at SummerHack VLC 2014
2. School data coming from an spreadsheet published by GVA
3. Precalculated data using OSRM
4. SPA with jQuery, bootstrap and CartoDB.js/leaflet
5. Mobile application (never released) with Apache Cordova
6. Hosting on S3: http://decasaalcole.com/
7. https://github.com/decasaalcole/decasaalcole-web
8. More details at http://decasaalcole.github.io/talks/makingof
De casa al cole
Details

De casa al cole

http://antipodes.decasaalcole.com

1. 3 people pet project (xurxosanz, vehrka, antipodasnz)
2. Based on an idea from the Thesis of antipodasnz
3. Data coming from the Spanish Ed Ministry and NZ friends
4. Single page with some modals and a simple interface
5. Coded with Bootstrap, jQuery and OpenLayers 3
6. Custom logic coded in PL/pgSQL functions
7. Hosted on S3: http://antipodes.decasaalcole.com
8. Code: https://github.com/geoinquietosvlc/antipodes-map
Antipodes map
Details

Antipodes map

http://chriswhong.github.io/plutoplus

1. Leapfrog from Chris Whong, Solutions Engineer at CartoDB
2. PLUTO is an Open Dataset from NYC
3. SPA built with Bootstrap, jQuery and CartoDB.js to interface
with the SQL API
4. Code and hosting at github using GitHub Pages
○ https://github.com/chriswhong/plutoplus
○ http://chriswhong.github.io/plutoplus/
PLUTO Plus
Details

PLUTO Plus
SELECT * FROM plutoshapes a
LEFT OUTER JOIN (
SELECT bbl,firecomp,garagearea,healtharea
FROM pluto14v2 ) b
ON a.sbbl = b.bbl
WHERE ST_INTERSECTS(
ST_MakeEnvelope(
-73.97182, 40.71021,-73.95352,40.71587,
4326),
a.the_geom)

All these websites use
anonymous API calls
CartoDB allows anyone to create
new tools and visualizations with
any public dataset

Group of schools by province of Spain
http://bit.ly/es-edcount

Infulence area of Spanish teaching schools on NZ
http://bit.ly/nz-voronoi

Next time you see a nice dataset
on CartoDB, fork any of the
previous examples, write your
own SQL, CartoCSS, web app, etc
and share your new creation!

Thanks!
Jorge Sanz — Solutions Engineer
jsanz@cartodb.com @xurxosanz
Pedro-Juan Ferrer Matoses - Project Manager
pferrer@osgeo.org @vehrka