This document discusses developments in big geodata and its role in GIS. It encourages students to pay closer attention to data aspects of GIS and gain experience with large geodata sets. The presentation explains how data collection is changing from expert-driven and closed to crowd-sourced and open. Examples of big geodata sources include sensor data, social media, and the Internet of Things. Tips are provided for students to explore big geodata through MOOCs and recommended readings.
2. Get BIG geo data!
The data explosion has enabled GIS on the Web to grow into
new application areas. The Internet of Things, the Sensorweb
and open data repositories are leading us into an era of big
geodata. Apart from the amount of data, the role of data in
GIS and our concept of data are also changing.
This presentation explains a few of these developments. It
calls for students to pay closer attention to the data aspect of
GIS and to gain experience with big geodata. The
presentation ends with a few tips for (eternal) students.
GIMA day, Wageningen U, April 6th 2016
9. Data is/was…
collected by experts
consciously
closed
static
structurecreated by software
subset of reality
send as input to an analytical process
on your computer
Ignoringthequantitativeview
10. Data is/becoming…
collected by a crowd
unconsciously
open
real-time
no-structurecreated by data
the analytical process is send to the data
closer to realitythink clusters and cloud
24. BIG DATA WHAT IT IS ABOUT
Guide us to different insights about our world
Why? Lower costs. Improved decision making.
Innovation of products and services.
Real-time data. Stored. Streams. Unstructured (..)
Fairly big
Big data at work, T. Davenport
26. Sensing the City
The main dataset used in this research is the sensed data retrieved by van der Hoeven and
Wandl (2015) for the ‘Hotterdam’ project. In the summer of 2014, they measured the
temperature in Rotterdam by using sensors. About 1300 sensors were distributed.
Be like Iris Theunisse! (check out her thesis).
29. M A P S
Becoming better models
of reality!
But still limited by that
model ... and the maker
of the model
30. A FEW TIPS
Mind yr T-shaped profile
Follow a MOOC, read a book
Take a deep dive into spatial temporal land
31. Recommended reading
Books
Big data at Work, Thomas Davenport, Harverd Busines Review Press
Big Data, Viktor Mayer-Schönberger, Kenneth Cukier, HMH
Social Physics, Alex Pentland, Penguin Press
MOOCs
Unlock Value in Massive Datasets, UC San Diego, Coursera
Knowledge Management and Big Data in Business, HK Poly U, Edx
Papers
Do pm me if you are considering to include Big data / GeoAnalytics in your thesis!
Esri : Discover great value from your big data (here)
32.
33. Get BIG Geo Data!
GIMA Day 2016 @ Wageningen U
(GIS on the Web)
Jan Willem van Eck
Editor's Notes
*Bertin, as quoted in The Power of Maps, Dennis Wood. P. 185
Step 2: betere data, visualiastie afhankelijk van intensiteit (voorbeeld een verschijnsel uit de ondergrond, maar bovengronds gevisualieersd)
When data turns into BIG data
In 48 minutes on 120 machines
Realtime data for emergency response. Allows for the most optimal use of police and ambulances.
When data turns into BIG data II (not the slider on the bottom)
Realtime NDW (vrijdag 18 maart 2016)
50 miljoen waarnemingen – 4 dagen
On-the-fly aggregatie