MAPMAKING FOR ACADEMICS

introduction 

TO

Cartodb

maia sauren  maia@thoughtworks.com
steve.bennett@unimelb.edu.au

Slides: health.researchmaps.net

Sign up:  cartodb.com/academic

Objectives

By the end of today, you will be able to:

  1. Turn data with latitudes & longitudes...
    • that you provide as a spreadsheet
    • or get from somewhere else
  2. into   dots ...
    • that you can click on for more info
    • that are colour coded
    • or icon-coded
  3. ...on a map...
    • that you choose from a lovely selection
  4. which you can share with the world.

Introduction 


Data visualisation
(CartoDB)


Basemap
(Tilemill)

Get an account


cartodb.com/academic

All data is public. All maps are public.
health.researchmaps.net

Load sample data (exercise)

Fiona's fictitious Italian outbreak
gis.researchmaps.net/sample/sullitis.csv


About sullitis.csv


22 rows

Lat & Long (for geocoding)
Name (string - good for labels)
Cases (numeric - good for choropleths)
Type (fixed vocab - good for categories)

Tables: How do I...?(EXERCISE)

  1. Change a column type to "number"
  2. Edit a cell 
  3. Add a row
  4. Delete a row
  5. Sort by a column
  6. Add a column

Map view (EXERCISE)

Pick a basemap. Any basemap.

What the buttons do


New layer
Select this layer
Custom SQL (advanced queries)
Wizards (visualisation type)
Info windows (when you click) 
Custom CSS (advanced styling)
Legends (HTML required)
Filters
Add row

Info windows

Too easy


EXERCISE: make an appropriate info window

Visualisation


1 visualisation =  1+  layers


1 layer: 1 map

1, 2 = switch layers



Why visualisations?

Share
Re-order layers
Combine styles
One dataset, several visualisations

Visualisations for small data

Simple      
Category

Colours

Custom markers

Stroke/Fill/font

Exercise: make an ugly visualisation of 'sulla'
 

visualisations for bigger data

Intensity

Density

More sample data! (exercise)


Buckets


1,2,3,4,5,6,7,8,9,10

3 buckets

1,2,3         4,5,6,7     8,9,10


(sort of)



Multi layer visualisation (exercise)



Title

Category or  Choropleth?


"Bronze", "Copper", "Stoneware" → Category

1.2, 5.3, 2.4 → Choropleth

Cluster, Intensity or Density?

Experiment!

Custom styling

CartoCSS


CartoCSS doc:
https://www.mapbox.com/carto/api/2.3.0/

Geocoding


Creating lat/longs

Where before there were none

Geocoding

37 Flinders Lane, Melbourne   →   -37.81478, 144.97289


addresses cost $$$

Provide your own lat/lon:

Match admin regions (polygons) *

a free way with GOogle sheets

1. Follow all instructions here:
https://github.com/mapbox/geo-googledocs

2. Geocode stuff in Google Sheets
3. Import 

Adding data

Add feature. Click. Done. Click. Edit data. Save and close.


Or...

Add row

Then lat/long


More data!

CartoDB supports:


AURIN,  data.gov.au, CartoDB "common data", Google...

Advanced

Basic SQL

Filter, group, aggregate, calculate

SELECT * FROM sulla WHERE name LIKE 'P%'

Not basic SQL


Any basemap


Sharing





More help?

CartoDB documentation
gis.stackexchange.com

maia@thoughtworks.com
steve.bennett@unimelb.edu.au
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