sensor discovery in virtual globes for citizen scientists

25
Sensor Discovery in Virtual Globes for Citizen Scientists Raimund Schnürer [email protected]

Upload: others

Post on 20-Oct-2021

4 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Sensor Discovery in Virtual Globes for Citizen Scientists

Sensor Discovery in Virtual Globes for Citizen Scientists

Raimund Schnürer

[email protected]

Page 2: Sensor Discovery in Virtual Globes for Citizen Scientists

About me

• 2007 –2012: B.Sc. & M.Sc. Geoinformatics student, University of Münster

• Since 10/2012: Scientific assistant, Institute of Cartography and Geoinformation, ETH Zurich

– Project “Atlas of Switzerland“

Sensor Discovery in Virtual Globes for Citizen Scientists 2

Page 3: Sensor Discovery in Virtual Globes for Citizen Scientists

Sensor Discovery in Virtual Globes for Citizen Scientists

i. Motivation

ii. Methods

iii. Live Demo

iv. Implementation

v. Evaluation

Sensor Discovery in Virtual Globes for Citizen Scientists 3

Page 4: Sensor Discovery in Virtual Globes for Citizen Scientists

Existing sensor portals

Cosm (formaly pachube)SwissExperiment

SensorMap GeoCENS

Sensor Discovery in Virtual Globes for Citizen Scientists 4

Page 5: Sensor Discovery in Virtual Globes for Citizen Scientists

Mobile sensorsh

ttp

://t

inyu

rl.c

om

/So

ny-

S-P

ho

to

OpenSense project

AeroFlex bike

AmbientTemperature

Humidity

BarometricPressure

Illuminance

Sensor Discovery in Virtual Globes for Citizen Scientists 5

Smartphones htt

p:/

/ww

w.t

un

dri

a.co

m/t

ram

s/C

HE

/P

ho

tos/

Zuri

ch-T

ram

20

00

.jpg

(ELE

Net

al.,

20

12

)

Page 6: Sensor Discovery in Virtual Globes for Citizen Scientists

Citizen scientists

All images:http://www.gdhm.de/

Sensor Discovery in Virtual Globes for Citizen Scientists 6

Page 7: Sensor Discovery in Virtual Globes for Citizen Scientists

Overall aim

Build a sensor portal for citizen scientists supporting them in finding sensors of other providers to validate and eventually calibrate their own sensors

Sensor Discovery in Virtual Globes for Citizen Scientists 7

stationary+ mobile

Page 8: Sensor Discovery in Virtual Globes for Citizen Scientists

Virtual Globe

“A multi-resolution, three-dimensional representation of the planet, into which we can embed vast quantities of geo-referenced data.”

(Al Gore, 1998)

Sensor Discovery in Virtual Globes for Citizen Scientists 8

http://worldwind.arc.nasa.gov/graphics/screenshots/00.jpg

Page 9: Sensor Discovery in Virtual Globes for Citizen Scientists

Sensor representations

Indexed representation

Iconicrepresentation

Symbolicrepresentation

Eye altitude ~ Level of abstraction

Sensor Discovery in Virtual Globes for Citizen Scientists 9

Page 10: Sensor Discovery in Virtual Globes for Citizen Scientists

Generalization

Sensor Discovery in Virtual Globes for Citizen Scientists 10

Eye altitude: 250kmEye altitude: 7250km

Page 11: Sensor Discovery in Virtual Globes for Citizen Scientists

Generalization

Sensor Discovery in Virtual Globes for Citizen Scientists 11

Eye altitude: 250kmEye altitude: 7250km

Page 12: Sensor Discovery in Virtual Globes for Citizen Scientists

Generalization

Sensor Discovery in Virtual Globes for Citizen Scientists 12

Eye altitude: 250kmEye altitude: 7250km

Page 13: Sensor Discovery in Virtual Globes for Citizen Scientists

Generalization

Simplification

Sensor Discovery in Virtual Globes for Citizen Scientists 13

Page 14: Sensor Discovery in Virtual Globes for Citizen Scientists

Preview of sensor data

Stationary sensor platform Mobile sensor platform

Sensor Discovery in Virtual Globes for Citizen Scientists 14

Page 15: Sensor Discovery in Virtual Globes for Citizen Scientists

Search controls

Sensor Discovery in Virtual Globes for Citizen Scientists 15

Thematic filterTemporal filter

Spatial search

Page 16: Sensor Discovery in Virtual Globes for Citizen Scientists

Live Demo

http://stringhoster.zapto.org/test/

Sensor Discovery in Virtual Globes for Citizen Scientists 16

Page 17: Sensor Discovery in Virtual Globes for Citizen Scientists

Web client

Software:

• Google Earth API

• jQuery (UI)

Sensor Discovery in Virtual Globes for Citizen Scientists 17

Page 18: Sensor Discovery in Virtual Globes for Citizen Scientists

Architecture

Software:• 52°North Sensor Instance Registry (SIR)• 52°North Sensor Observation Service (SOS)• metaf2xml• Android SDK

Sensor Discovery in Virtual Globes for Citizen Scientists 18

Page 19: Sensor Discovery in Virtual Globes for Citizen Scientists

Usability study

• 33 participants

• Task: “Find a suitable sensor platform in or near the city of Münster, Germany, where you can validate whether the thermometer in your smartphone measures the right temperature.”

• Online questionnaire:

– 19 semantic differential scale & 2 Likert scale questions

– 2 free-text questions

Sensor Discovery in Virtual Globes for Citizen Scientists 19

Page 20: Sensor Discovery in Virtual Globes for Citizen Scientists

Usability study

• Test data: – 70 real weather stations of citizen scientists across Germany

– 5 fake weather stations and 3 fake smartphones in Münster

– my smartphone

• Different characteristics of sensor platforms: – Sensor configuration

– Accessibility

– Date of last calibration

– Date of deployment

– Comments/rating

– Smartphone trajectories

Sensor Discovery in Virtual Globes for Citizen Scientists 20

Page 21: Sensor Discovery in Virtual Globes for Citizen Scientists

Results

Sensor Discovery in Virtual Globes for Citizen Scientists 21

Needs improvement

Performance

Compatibility

Comparison of metadata

Graphical design

Worked out

Generalization

Visualization of sensors and sensor data

Search controls

Interaction with the virtual globe

Page 22: Sensor Discovery in Virtual Globes for Citizen Scientists

Results

“A virtual globe is the best user interface to accomplish the given task.“

Sensor Discovery in Virtual Globes for Citizen Scientists 22

Page 23: Sensor Discovery in Virtual Globes for Citizen Scientists

Results

“All in all, the application facilitates the discovery of sensors.“

Sensor Discovery in Virtual Globes for Citizen Scientists 23

Page 24: Sensor Discovery in Virtual Globes for Citizen Scientists

References

• Aberer, K., Sathe, S., Chakraborty, D., Martinoli, A., Barrenetxea, G., Faltings, B. and Thiele, L. (2010): OpenSense: open community driven sensing of environment in Proceedings of the ACM SIGSPATIAL International Workshop on Geo-Streaming, New York, NY, USA, 2010, pp. 39–42.

• Bodum, L. (2005): Modelling Virtual Environments for Geovisualization : A Focus on Representation, in: Dykes, J., MacEachren, A.M., Kraak, M.J. (Eds.), Exploring Geovisualization. Elsevier, Oxford, pp. 389–402.

• Edwardes, A., Burghardt, D., Weibel, R. (2005): Portrayal and Generalisation of Point Maps for Mobile Information Services, in: Meng, L., Zipf, A., Reichenbacher, T. (Eds.), Map-based Mobile Services – Theories, Methods and Implementations. Springer, Berlin, Heidelberg, pp. 11–30.

• Elen, B., van Poppel, M., Bleux, N., Theunis, J., Regente, M., Peters, J. and Standaert, A. (2012): The Aeroflex: a bike for mobile air quality measurements, presented at the Sensing a Changing World Workshop, Wageningen, 2012.

• Gore, A.A. (1998): The Digital Earth: Understanding our planet in the 21st Century. California Science Center, Los Angeles. Available from: http://www.zhanpingliu.org/research/terrainvis/DigitalEarth.pdf(last accessed: 2013-03-11)

13-03-2013 Sensor Discovery in Virtual Globes for Citizen Scientists 24

Page 25: Sensor Discovery in Virtual Globes for Citizen Scientists

Thank you for your attention!