Book – Information Graphics

Information graphics are the subject to a brand new Taschen publication Information Graphics that is bringing complicated data made understandable through brilliant designs to a strong coffee table near you. The book is colourful with strong visual guidance, large, very large and heavy, some 480 pages heavy. As this outline shows, its a bold publication that doesn’t hide behind all the various examples of graphic design, but provides a tasteful framework to showcase the many awesome examples of data narratives.

Cover Information Graphics
Image taken from aestheticsofjoy by Stephanie Posavec / Writing without words exploring possibilities to visually represent text.

Of course info graphics are currently trending and one of the most talked and specially passed around topic, not only online but more recently also in the media. All the large media houses have a special information design group and the publication showcases a number of these examples. In this context the book is not the first such collection of good designed information, but certainly one of the boldest in a positive sense.
The publication is edited by Julius Wiedemann und features contributions by Sandra Rendgen, Richard Saul Wurman, Simon Rogers from the Guardian Data Blog and Paolo Ciuccarelli. This is a very interesting team Taschen has put together for this publication with, whilst still being information specialists, covering a broad spectrum of perspectives and expertise.

NYT Historic Shift NYT Historic Shift
Image taken from dynamicdiagrams by NYT / Interactive visualisation showing the changes in election results over the period 2006-2010. Find the interactive version at NYT

Where other publications, for examples Data Flow by Gestalten, Otto Neurat by NAi or indeed Edward Tufte focus on the context of the graphics, the theoretical background of narrating information as well as the actual teaching of how to present information the Taschen publication is a showcase. It is foremost about showing great examples from a variety of sources on how to visualise data sets graphically in mainly 2D. There are a few web based, animated or interactive examples too though. This takes into account that complexity showing in these graphics is continually rising.

Husevaag Escape Routes Husevaag Escape Routes
Image by Torgeir Husevaag / Escape Routes, 2010-2011. A series of drawing studying possibilities of spatial movement under given time constraints. On the left the map and on the right a detail of some of the blue shaded location sixth path details

Showcasing such a large collection of examples is tricky in that the ordering system as to how the examples are organised becomes very prominent and therefore important. Here the editor has decided to go with a very low number of groups to arrange the info graphics. Where other publications make an exercise out of inventing a whole new system to clarify and characterise the examples this one takes the simple approach. This both refreshingly straight forward and annoyingly rough. What do the chosen terms Location, Time, Category and Hierarchy actually describe, or more importantly how are they distinguished?
The questions remain unanswered however, this does not stand in the way to enjoy the great quality and variety this collection shows. Its a book to brows, jump and flip, a publication you will keep in reach for a long time and always go back to to enjoy or indeed recharge your design batteries.

Cover Information Graphics
Image by Taschen / Book cover Information Graphics.

Rendgen, S., 2012. Information Graphics J. Wiedemann, ed., Köln: Taschen GmbH.

Continue reading »

Book – Information Graphics

Information graphics are the subject to a brand new Taschen publication Information Graphics that is bringing complicated data made understandable through brilliant designs to a strong coffee table near you. The book is colourful with strong visual guidance, large, very large and heavy, some 480 pages heavy. As this outline shows, its a bold publication that doesn’t hide behind all the various examples of graphic design, but provides a tasteful framework to showcase the many awesome examples of data narratives.

Cover Information Graphics
Image taken from aestheticsofjoy by Stephanie Posavec / Writing without words exploring possibilities to visually represent text.

Of course info graphics are currently trending and one of the most talked and specially passed around topic, not only online but more recently also in the media. All the large media houses have a special information design group and the publication showcases a number of these examples. In this context the book is not the first such collection of good designed information, but certainly one of the boldest in a positive sense.
The publication is edited by Julius Wiedemann und features contributions by Sandra Rendgen, Richard Saul Wurman, Simon Rogers from the Guardian Data Blog and Paolo Ciuccarelli. This is a very interesting team Taschen has put together for this publication with, whilst still being information specialists, covering a broad spectrum of perspectives and expertise.

NYT Historic Shift NYT Historic Shift
Image taken from dynamicdiagrams by NYT / Interactive visualisation showing the changes in election results over the period 2006-2010. Find the interactive version at NYT

Where other publications, for examples Data Flow by Gestalten, Otto Neurat by NAi or indeed Edward Tufte focus on the context of the graphics, the theoretical background of narrating information as well as the actual teaching of how to present information the Taschen publication is a showcase. It is foremost about showing great examples from a variety of sources on how to visualise data sets graphically in mainly 2D. There are a few web based, animated or interactive examples too though. This takes into account that complexity showing in these graphics is continually rising.

Husevaag Escape Routes Husevaag Escape Routes
Image by Torgeir Husevaag / Escape Routes, 2010-2011. A series of drawing studying possibilities of spatial movement under given time constraints. On the left the map and on the right a detail of some of the blue shaded location sixth path details

Showcasing such a large collection of examples is tricky in that the ordering system as to how the examples are organised becomes very prominent and therefore important. Here the editor has decided to go with a very low number of groups to arrange the info graphics. Where other publications make an exercise out of inventing a whole new system to clarify and characterise the examples this one takes the simple approach. This both refreshingly straight forward and annoyingly rough. What do the chosen terms Location, Time, Category and Hierarchy actually describe, or more importantly how are they distinguished?
The questions remain unanswered however, this does not stand in the way to enjoy the great quality and variety this collection shows. Its a book to brows, jump and flip, a publication you will keep in reach for a long time and always go back to to enjoy or indeed recharge your design batteries.

Cover Information Graphics
Image by Taschen / Book cover Information Graphics.

Rendgen, S., 2012. Information Graphics J. Wiedemann, ed., Köln: Taschen GmbH.

Continue reading »

Citydashboard.org: A Live View of City Data

Introducing Citydashboard.org: A Live View of City Data – here at the Centre for Advanced Spatial Analysis, University College London, we have just made live our latest in a series of services examining live data feeds – CityDashBoard. The system pulls in data from a variety feeds, developing our view that the next trend in…

(Visited 3,059 times, 1 visits today)
Continue reading »

Innovative Perspectives on Population Mobility: Mobility, Immobility and Well-being

TweetA conference held under the auspices of the ESRC Centre for Population Change (CPC) and the RGS-IBG Population Geography Research Group (PGRG) 2nd-3rd July 2012, University of St Andrews We are pleased to announce that participant registration for this conference is now open. The meeting is timed to finish at lunchtime on Tuesday 3rd July […]

Continue reading »

First announcement: 7th International Conference on Population Geographies, Groningen, 25-28 June 2013

TweetAfter six successful and pleasant previous International Conferences on Population Geographies in St Andrews (twice), Liverpool, Hong Kong, Dartmouth and Umea, the Population Research Centre of the University of Groningen is proud to present: The 7th International Conference on Population Geographies, Groningen, 25-28 June 2013 Note the dates in your agenda! Call for abstracts expected September 2012 […]

Continue reading »

Conference – CASA Smart Cities: bridging physical and digital

CASA is running a one day conference under the title CASA Smart Cities: bridging physical and digital. The title basically explains the aim of the event and besides a exciting line up of speakers with interesting projects there is also an exhibition with interactive installations.

Pigeon Sim
Image by Dr George MacKerron / Pigeon Sim, how to navigate the flight icons.

As the Keynote speaker Professor Carlo Ratti, Director, Senseable City Lab, MIT is invited. Other speakers include: Professor Michael Batty, Chairman, CASA, Professor of Planning; Dr Andy Hudson-Smith, Director and Head of Department, CASA; CASA researchers including Richard Milton, Oliver O’Brien, Dr James Cheshire, Steven Gray, Dr George MacKerron, Dr Jon Reades, Dr Joan Serras and Dr Duncan Smith

Pigeon Sim
Image by CASA / Conference flyer.

This event is supported by CASA research grants: ANALOGIES (EPSRC), COSMIC (ERA-NET), GENeSIS (ESRC) and TALISMAN (ESRC, NCRM).

The four main aspects of the conference are:
Find out about groundbreaking research being carried out at CASA, with talks covering crowd-sourcing and participatory mapping, sensing using social media and experience sampling, data dashboards, public transport, public bike schemes and more. Explore a brand new interactive exhibition, showcasing some of CASA’s latest models and maps. Meet and network with academic, public and private sector attendees during coffee breaks, a catered lunch, and an evening drinks reception. Find out more about the courses we offer at CASA.

The Programm can be found HERE. Registration is on http://casasmartcities.eventbrite.co.uk/. The Twitter hashtag for this conference is #casaconf.

The exhibition part will include some exciting experimental interactive media installations. In Pigeon Sim the visitor can fly around Google Earth, navigating by flapping the arms, there are simulations running interactively on touch tables and also the live London Dashboard installation is on display.

NCL_3DPhModel02
Image by urbanTick for NCL / The 3D London NCL model.

Some of the Twitter work is on display too. The analogue Tweet-O-Meter, last on show at the British Library will be installed and a a 3D physical model of the London New City Landscape map will be on display. This model was layered from the contour lines and includes the labels and tag. With it some of the aNCL network clips will be on display, showing the connective aspects of the data. In these clips other cities than London will also be on show to extend on the perspective.

NCL_3DPhModel01
Image by urbanTick for NCL / The 3D London NCL model.

Continue reading »

Conference – CASA Smart Cities: bridging physical and digital

CASA is running a one day conference under the title CASA Smart Cities: bridging physical and digital. The title basically explains the aim of the event and besides a exciting line up of speakers with interesting projects there is also an exhibition with interactive installations.

Pigeon Sim
Image by Dr George MacKerron / Pigeon Sim, how to navigate the flight icons.

As the Keynote speaker Professor Carlo Ratti, Director, Senseable City Lab, MIT is invited. Other speakers include: Professor Michael Batty, Chairman, CASA, Professor of Planning; Dr Andy Hudson-Smith, Director and Head of Department, CASA; CASA researchers including Richard Milton, Oliver O’Brien, Dr James Cheshire, Steven Gray, Dr George MacKerron, Dr Jon Reades, Dr Joan Serras and Dr Duncan Smith

Pigeon Sim
Image by CASA / Conference flyer.

This event is supported by CASA research grants: ANALOGIES (EPSRC), COSMIC (ERA-NET), GENeSIS (ESRC) and TALISMAN (ESRC, NCRM).

The four main aspects of the conference are:
Find out about groundbreaking research being carried out at CASA, with talks covering crowd-sourcing and participatory mapping, sensing using social media and experience sampling, data dashboards, public transport, public bike schemes and more. Explore a brand new interactive exhibition, showcasing some of CASA’s latest models and maps. Meet and network with academic, public and private sector attendees during coffee breaks, a catered lunch, and an evening drinks reception. Find out more about the courses we offer at CASA.

The Programm can be found HERE. Registration is on http://casasmartcities.eventbrite.co.uk/. The Twitter hashtag for this conference is #casaconf.

The exhibition part will include some exciting experimental interactive media installations. In Pigeon Sim the visitor can fly around Google Earth, navigating by flapping the arms, there are simulations running interactively on touch tables and also the live London Dashboard installation is on display.

NCL_3DPhModel02
Image by urbanTick for NCL / The 3D London NCL model.

Some of the Twitter work is on display too. The analogue Tweet-O-Meter, last on show at the British Library will be installed and a a 3D physical model of the London New City Landscape map will be on display. This model was layered from the contour lines and includes the labels and tag. With it some of the aNCL network clips will be on display, showing the connective aspects of the data. In these clips other cities than London will also be on show to extend on the perspective.

NCL_3DPhModel01
Image by urbanTick for NCL / The 3D London NCL model.

Continue reading »

Natural Disasters and Crowdsourcing: Haiti

Natural disasters such as earthquakes and tsunamis occur all over the world, altering the physical landscape and often severely disrupting people’s daily lives. Recently researchers’ attention has focused on using crowds of volunteers to help map the infrastructure and devastation caused by natural disasters, such as those in Haiti and Pakistan. For example, in the movie below shows the response to the earthquake by the OpenStreetMap community within 12 hours of the earthquake. The white flashes indicate edits to the map (often by tracing satellite/aerial photography).
While this data is extremely useful, as it is allows us to assess damage and thus aid the distribution of relief, but it tells us little about how the people in such areas will react to the devastation, the supply of food, or the reconstruction. To address this, we are exploring how agent-based modeling can be used to explore peoples reactions. To do this we have created a prototype spatially explicit agent-based model, created using crowdsourced geographic information and other sources of publicly available data, which can be used to study the aftermath of a catastrophic event. The specific case modeled here is the Haiti earthquake of January 2010. Crowdsourced data is used to build the initial populations of people affected by the event, to construct their environment, and to set their needs based on the damage to buildings. 

The idea behind the model is to explore how people react to the distribution of aid, as well as how rumors propagating through the population and crowding around aid distribution points might lead to food riots and similar social phenomena. Such a model could potentially provide a link between socio-cultural information of the people affected and relevant humanitarian relief organizations.

<p><p>sssss</p></p>

The animation above shows one simulation run where there is the spread of  information and agent movement (red dots) around one center (blue dot). While the chart below shows how over time the density of agents around the food station increases over time.

The idea behind such a model is one can take crowdsourced information and fuse it into an agent-based model and see how people will react to the distribution of food centers. For example, the movie below shows how agents find out about four (hypothetical) different food centers and decide whether or not to go to them in a 6 by 8km area of Port-au-Prince.

Spread of information and agent movement (red dots) in a 6 by 8km area of Port-au-Prince.
More details about this model to come……
Continue reading »

Natural Disasters and Crowdsourcing: Haiti

Natural disasters such as earthquakes and tsunamis occur all over the world, altering the physical landscape and often severely disrupting people’s daily lives. Recently researchers’ attention has focused on using crowds of volunteers to help map the infrastructure and devastation caused by natural disasters, such as those in Haiti and Pakistan. For example, in the movie below shows the response to the earthquake by the OpenStreetMap community within 12 hours of the earthquake. The white flashes indicate edits to the map (often by tracing satellite/aerial photography).
While this data is extremely useful, as it is allows us to assess damage and thus aid the distribution of relief, but it tells us little about how the people in such areas will react to the devastation, the supply of food, or the reconstruction. To address this, we are exploring how agent-based modeling can be used to explore peoples reactions. To do this we have created a prototype spatially explicit agent-based model, created using crowdsourced geographic information and other sources of publicly available data, which can be used to study the aftermath of a catastrophic event. The specific case modeled here is the Haiti earthquake of January 2010. Crowdsourced data is used to build the initial populations of people affected by the event, to construct their environment, and to set their needs based on the damage to buildings. 

The idea behind the model is to explore how people react to the distribution of aid, as well as how rumors propagating through the population and crowding around aid distribution points might lead to food riots and similar social phenomena. Such a model could potentially provide a link between socio-cultural information of the people affected and relevant humanitarian relief organizations.

<p><p>sssss</p></p>

The animation above shows one simulation run where there is the spread of  information and agent movement (red dots) around one center (blue dot). While the chart below shows how over time the density of agents around the food station increases over time.

The idea behind such a model is one can take crowdsourced information and fuse it into an agent-based model and see how people will react to the distribution of food centers. For example, the movie below shows how agents find out about four (hypothetical) different food centers and decide whether or not to go to them in a 6 by 8km area of Port-au-Prince.

Spread of information and agent movement (red dots) in a 6 by 8km area of Port-au-Prince.
More details about this model to come……
Continue reading »

#Earthquake: Twitter as a Distributed Sensor System

Our work on using social media continues to develop and we have recently had a paper accepted in Transactions in GIS, entitled “#Earthquake: Twitter as a Distributed Sensor System“. Below we present our abstract and some of the results.

Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic. Their content often includes references to events occurring at, or affecting specific locations. Within this paper we analyze the spatial and temporal characteristics of the twitter feed activity responding to a 5.8 magnitude earthquake which occurred on the East Coast of the United States (US) on August 23, 2011. We argue that these feeds represent a hybrid form of a sensor system that allows for the identification and localization of the impact area of the event. By contrasting this to comparable content collected through the dedicated crowdsourcing ‘Did You Feel It?’ (DYFI) website of the US Geological Survey we assess the potential of the use of harvested social media content for event monitoring. The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance our situational awareness and improve our understanding and response to such events.

The movie below show geolocated tweets with references to the earthquake through keyword (earthquake or earth and quake) and hashtag search (#earthquake or #quake) for the first hour after the earthquake.

The following images give a glimpse at some of our analysis.

Response pattern as function of distance from epicenter for the first 400 seconds after the earthquake. At the top we see a plot of (reaction time, distance) of all tweets during that period. At the bottom we show the histogram of the number of tweets as a function of distance.
Locations of the 40 tweets in the shaded area of the figure above overlaid over the USGS CDI scale map. Tweet locations are marked as green circles. Color-coding in the graph is ranging from red (high perceived intensity) to yellow (lower perceived intensity). The dashed line shows a distance of approximately 950 km (8.5 degrees of angular distance) from the epicenter.

The movie below gives you an idea of some of the tweet content:

Full reference to this paper is:

Crooks, A. T.,  Croitoru, A.,  Stefanidis, A. and Radzikowski, J. (acepted) “#Earthquake: Twitter as a Distributed Sensor System” Transactions in GIS.

Continue reading »

#Earthquake: Twitter as a Distributed Sensor System

Our work on using social media continues to develop and we have recently had a paper accepted in Transactions in GIS, entitled “#Earthquake: Twitter as a Distributed Sensor System“. Below we present our abstract and some of the results.

Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic. Their content often includes references to events occurring at, or affecting specific locations. Within this paper we analyze the spatial and temporal characteristics of the twitter feed activity responding to a 5.8 magnitude earthquake which occurred on the East Coast of the United States (US) on August 23, 2011. We argue that these feeds represent a hybrid form of a sensor system that allows for the identification and localization of the impact area of the event. By contrasting this to comparable content collected through the dedicated crowdsourcing ‘Did You Feel It?’ (DYFI) website of the US Geological Survey we assess the potential of the use of harvested social media content for event monitoring. The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance our situational awareness and improve our understanding and response to such events.

The movie below show geolocated tweets with references to the earthquake through keyword (earthquake or earth and quake) and hashtag search (#earthquake or #quake) for the first hour after the earthquake.

The following images give a glimpse at some of our analysis.

Response pattern as function of distance from epicenter for the first 400 seconds after the earthquake. At the top we see a plot of (reaction time, distance) of all tweets during that period. At the bottom we show the histogram of the number of tweets as a function of distance.
Locations of the 40 tweets in the shaded area of the figure above overlaid over the USGS CDI scale map. Tweet locations are marked as green circles. Color-coding in the graph is ranging from red (high perceived intensity) to yellow (lower perceived intensity). The dashed line shows a distance of approximately 950 km (8.5 degrees of angular distance) from the epicenter.

The movie below gives you an idea of some of the tweet content:

Full reference to this paper is:

Crooks, A. T.,  Croitoru, A.,  Stefanidis, A. and Radzikowski, J. (acepted) “#Earthquake: Twitter as a Distributed Sensor System” Transactions in GIS.

Continue reading »
1 2