Digital Urban: giscience

Showing posts with label giscience. Show all posts

2010-10-02

AGI GeoCommunity'10 Postcodes, Points, Lines and Polygons

We presented a plenary this week at the excellent AGI GeoCommunity'10 conference. With notable discussions on cloud based GIS, putting map libraries on the web and the balance between vector and raster data it was, as ever, a conference made by which streams you attended. The Cloud based stream was refreshing, especially after a few notable industry views that people simply don't get 'GIS' while subsequently carrying on to clearly illustrate where the whole problem lies. The AGI is a good crowd and hats off to the organizers, when you take a step back and look at the whole event, it was without question a notable success.

Getting back to 'Clouds' we were asked to create an inspirational movie for the opening session and decided to grab the HDHero, stick it on the outside window of a 5th floor apartment in Camden Town, London, and capture 10,000 images.

The result is below (best in 720p):

As plenary, part of the role is to provoke a bit of controversy to get people talking through the rest of a conference. Through shear accident this was suitably achieved and lessons learnt but as a side note the point was also raised that perhaps all the problem is within the industry is communication.

Our final call was to leave behind the term 'GIS' when communicating the benefits of geographical information to the wider audience and to be upbeat rather than consumed in postcodes, points, lines and polygons.

Stating the need to leave behind the term GIS is of course controversial but the same can be said of Neogeography (see our post, Come in Neogeography Your Time is Up). Terms come, terms go. Cyberspace, Virtual Reality, World Wide Web are all terms that nowadays look aged, perhaps its time to add GIS to the list...

2010-09-07

Data Mash-Ups and the Future of Mapping: JISC Report

Over the past few months we have been working with colleagues here at CASA, University College London and at the University of Nottingham, in association with the Joint Information Systems Committee (JISC) to write a report on Data mash-ups and the future of mapping. We are pleased to say the report has just been released and is available to download.

Report by Suchith Anand, Michael Batty, Andrew Crooks, Andrew Hudson-Smith, Mike Jackson, Richard Milton, Jeremy Morley

Data Mash-Ups and the Future of Mapping

Executive Summary

The term 'mash-up' refers to websites that weave data from different sources into new Web services. The key to a successful Web service is to gather and use large datasets and harness the scale of the Internet through what is known as network effects. This means that data sources are just as important as the software that 'mashes' them, and one of the most profound pieces of data that a user has at any one time is his or her location. In the past this was a somewhat fuzzy concept, perhaps as vague as a verbal reference to being in a particular shop or café or an actual street address. Recent events, however, have changed this. In the 1990s, President Bill Clinton's policy decision to open up military GPS satellite technology for 'dual-use' (military and civilian) resulted in a whole new generation of location-aware devices.Around the same time, cartography and GIScience were also undergoing dramatic, Internet-induced changes.

Traditional, resource intensive processes and established organizations, in both the public and private sectors, were being challenged by new, lightweight methods. The upshot has been that map making, geospatial analysis and related activities are undergoing a process of profound change. New players have entered established markets and disrupted routes to knowledge and, as we have already seen with Web 2.0, newly empowered amateurs are part of these processes. Volunteers are quite literally grabbing a GPS unit and hitting the streets of their local town to help create crowdsourced datasets that are uploaded to both open source and proprietary databases.

The upshot is an evolving landscape which Tim O'Reilly, proponent of Web 2.0 and always ready with a handy moniker, has labelled Where 2.0. Others prefer the GeoWeb, Spatial Data Infrastructure, Location Infrastructure, or perhaps just location based services. Whatever one might call it, there are a number of reasons why its development should be of interest to those in higher and further education. Firstly, since a person's location is such a profound unit of information and of such value to, for example, the process of targeting advertising, there has been considerable investment in Web 2.0-style services that make use of it. Understanding these developments may provide useful insights for how other forms of data might be used. Secondly, education, particularly research, is beginning to realize the huge potential of the data mash-up concept. As Government, too, begins to get involved, it is likely that education will be expected to take advantage of, and indeed come to relish, the new opportunities for working with data.

This TechWatch report describes the context for the changes that are taking place and explains why the education community needs to understand the issues around how to open up data, how to create mash-ups that do not compromise accuracy and quality and how to deal with issues such as privacy and working with commercial and non-profit third parties. It also shows how data mash-ups in education and research are part of an emerging, richer information environment with greater integration of mobile applications, sensor platforms, e-science, mixed reality, and semantic, machine-computable data and speculates on how this is likely to develop in the future.

There are two versions for download: the first is an optimised version (900Kb) and the second is the one with full resolution graphics (14Mb)

2010-06-11

MRes Advanced Spatial Analysis and Visualisation: Curriculum, Aims and Admission

Below we provide full details for 2010 entry on the new MRes in Advanced Spatial Analysis and Visualisation (ASAV). The course reflects the current state of play in geographic, urban and architectural information systems with an emphasis on visualisation, analysis and modelling. Taught at the Centre for Advanced Spatial Analysis, home of digital urban, it is an innovative and exciting opputunity to study at UCL with a MRes acting as a pathway to a PhD or further career in ASAV.

Course Executive Summary

The Centre for Advanced Spatial Analysis (CASA) is an initiative within University College London to develop research in emerging computer technologies in several disciplines dealing with geography, space, location, and the built environment. As an interdisciplinary research centre expertise is drawn from archaeology, architecture, cartography, computer science, environmental science, geography, planning, remote sensing, geomatic engineering, and transport studies. The Centre is located within The Bartlett at UCL, from which it is administered but it has associated students and faculty in other faculties, specifically in Geography and in Civil (Geomatic) Engineering. This structure generates a unique blend of knowledge forming the core of the MRes ASAV.

The MRes is unique in its focus on complexity, modelling, mapping and visualisation, pulling together the latest research in urban form, functionality and communication. Recent changes in the rise of web-based technologies and the development of low cost yet complex visualisation and analysis packages has generated a notable change in the demand for more traditional vendor specific information systems and computer aided design courses.

The MRes ASAV reflects this change with a look towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for current/future professionals and policy makers engaged in spatially related projects.

Curriculum Structure

The course has a strong research component based around developing new methodologies from new task specific software and techniques that have emerged as part of what may be termed the ‘Web Revolution’. CASA has been at the forefront of these changes that have impacted the way we share, communicate and distribute information, specifically information relating directly to geographic and spatial entities. These changes have steadily emerged since the mid 1990’s and it is now quite clear that location and space now represent a third force in information technology besides more traditional computer and communication science.

We reflect these changes within the interlinked laboratory-research-based mini project with data collection focused on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Indeed these research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions.

Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies.

Course Aims

The programme aims to provide training in the principles and skills of social and spatial research. Its aims include a strong understanding of qualitative and quantitative research methodology and methods of data collection and analysis to support and enable independent and group research projects. In addition to focusing on research skills, subject specific modules provide students with the opportunity to develop an excellence in spatial analysis with the specific skill set to engage and contribute to the current debates in urban and spatial continuums.

Course Delivery

The course runs full-time over 12 months. The taught element of the course is delivered on two days per week over the first two terms.

Modules

BENVGSA1 - Group Mini Project: Digital Visualisation
The module introduces the students to methods of visualisation and data mining within the geospatial domain. Developed as a group project the module aims to provide an understanding of the juxtaposition between research, data capture and data display methodologies. As such the module is developed to build upon the taught sections of the course (BENVGSA3 and BENVGSA4) to develop initial research questions for the dissertation (BENVGSA2). Project assessment will be on a group basis.
Credits: 30
Terms: 1 and 2

BENVGSA2 - Advanced Spatial Analysis and Visualisation MRes Dissertation
The module is based around the writing, preparation of an original research project in the form of a Masters Dissertation. Students will be required to plan the research and dissertation from an early stage with ongoing development building on both the mini-project and taught courses developed through the year. The research topic will be defined under the guidance of the students dissertation supervisor with the support of the Course Director. The aim is to produce a unique, individual piece of work with an emphasis on data collection, analysis and visualisation linked to policy and social science orientated applications.
Credits: 90
Terms: 1, 3, 4

BENVGSA3 - GI Systems and Science
The aim of this module is to equip students with an understanding of the principles underlying the conception, representation/measurement and analysis of spatial phenomena. As such, it presents an overview of the core organising concepts and techniques of Geographic Information Systems, and the software and analysis systems that are integral to their effective deployment in advanced spatial analysis.
Credits: 15
Term: 1

BENVGSA4 - Spatial Modelling and Simulation
This course will introduce students to the theory, principles and applications of mathematical and computer modeling as applied to cities. It will be based on five interrelated themes: an introduction to definitions of models as they relate to the philosophy of science; the model-building process involving calibration and prediction; types of urban models ranging from land use transportation models, microsimulation, discrete choice, cellular automata and agent-based models; the exploration of two specific types of model, namely land use transportation; and then cellular automata ABM.
Credits: 15
Term: 2

EDUCGE01 - Investigating Research
EDUCGE02 - Professional Development in Practice

ADMISSIONS

For details of how to apply, please see http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission If you decide to apply, you will need to submit an application form, two references (either two academic references or one academic reference and one work reference), transcript(s) of your degree(s) (must be officially translated if applicable). Please note that all application forms and supporting documents need to submitted directly to the College Admissions Office (address on application form).

Informal enquiries should be directed to the course director, Dr Andrew Hudson-SmithThere are no application deadlines for any Bartlett programmes but we do advise applicants to apply sooner rather than later, as once offers of admission are issued for all the vacancies available, it is no longer possible to issue any further offers of admission to applications which are received subsequently. We would advise that you seek to submit an application no later than June 2011 if you wish to be considered for the 2011/12 academic session.

2010-05-25

The Geospatial Industry in 2015: Summary and 35 Papers from the AGI

The geospatial information (GI) industry is undergoing radical change. Stimulated by a range of new global challenges, the balance of power between existing and new players is shifting. UK Government policy is also undergoing transformation with the publication of the UK Location Strategy, the transposition of the INSPIRE Directive into UK law, the passing of the M

arine & Coastal Access Bill and plans to change the business model of Ordnance Survey. The economic strictures, under which the public and private sectors will need to operate, as we attempt to handle enormous public debt, are also certain to drive changes in behaviour.

There can be little doubt that in 5 years the industry will look very different. Over the past year the Association for Geographic Information (AGI) has been exploring the future of the geospatial industry in the UK in the first public foresight project of this kind. Edited by Andrew Coote, Steven Feldman and Robin McLaren, The Geospatial Industry in 2015, has a medium-term horizon five years hence.

In seeking diverse points of view, the study invited industry opinion formers to contribute Expert Papers in their particular field, covering data and technology, vertical market sectors and policy drivers.

This is an extremely useful document for anyone interested in geo-spatial issues. You can read the summary (4Mb pdf) as well as the full 10 papers on policy, 13 papers on markets and 12 papers on data and technology, including our own on augmented reality.

Its quite a resource...

2010-05-12

MRes Advanced Spatial Analysis and Visualisation (ASAV) - Applications and Entry Now Open

We are pleased to announce that Applications and Entry to our new course - MRes in Advanced Spatial Analysis and Visualisation (ASAV) at the Centre for Advanced Spatial Analysis, University College London is now open. We have put together the course over the last few months to reflect the current state of play in geographic, urban and architectural information systems with an emphasis on visualisation, analysis and modelling. It is an innovative and exciting MRes which acts as a pathway to a PhD in ASAV.

Course Executive Summary

The Centre for Advanced Spatial Analysis (CASA) is an initiative within University College London to develop research in emerging computer technologies in several disciplines dealing with geography, space, location, and the built environment. As an interdisciplinary research centre expertise is drawn from archaeology, architecture, cartography, computer science, environmental science, geography, planning, remote sensing, geomatic engineering, and transport studies. The Centre is located within The Bartlett at UCL, from which it is administered but it has associated students and faculty in other faculties, specifically in Geography and in Civil (Geomatic) Engineering. This structure generates a unique blend of knowledge forming the core of the MRes ASAV.

The MReS ASAV reflects this change with a look towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for current/future professionals and policy makers engaged in spatially related projects.

Curriculum Structure

The MRes in Advanced Spatial Analysis and Visualisation (MRes ASAV) is unique in its focus on complexity, modelling, mapping and visualisation, pulling together the latest research in urban form, functionality and communication. Recent changes in the rise of web-based technologies and the development of low cost yet complex visualisation and analysis packages has generated a notable change in the demand for more traditional vendor specific information systems and computer aided design courses. The MRes ASAV reflects this change with a look towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for current/future professionals and policy makers engaged in spatially related projects.

The course has a strong research component based around developing new methodologies from new task specific software and techniques that have emerged as part of what may be termed the ‘Web Revolution’. CASA has been at the forefront of these changes that have impacted the way we share, communicate and distribute information, specifically information relating directly to geographic and spatial entities. These changes have steadily emerged since the mid 1990’s and it is now quite clear that location and space now represent a third force in information technology besides more traditional computer and communication science.

We reflect these changes within the interlinked laboratory-research-based mini project with data collection focused on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Indeed these research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions.

Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies.

Course Aims

Course Delivery

The course runs full-time over 12 months. The taught element of the course is delivered on two days per week over the first two terms.

Modules

BENVGSA1 - Group Mini Project: Digital Visualisation
The module introduces the students to methods of visualisation and data mining within the geospatial domain. Developed as a group project the module aims to provide an understanding of the juxtaposition between research, data capture and data display methodologies. As such the module is developed to build upon the taught sections of the course (BENVGSA3 and BENVGSA4) to develop initial research questions for the dissertation (BENVGSA2). Project assessment will be on a group basis.
Credits: 30
Terms: 1 and 2

BENVGSA2 - Advanced Spatial Analysis and Visualisation MRes Dissertation
The module is based around the writing, preparation of an original research project in the form of a Masters Dissertation. Students will be required to plan the research and dissertation from an early stage with ongoing development building on both the mini-project and taught courses developed through the year. The research topic will be defined under the guidance of the students dissertation supervisor with the support of the Course Director. The aim is to produce a unique, individual piece of work with an emphasis on data collection, analysis and visualisation linked to policy and social science orientated applications.
Credits: 90
Terms: 1, 3, 4

BENVGSA3 - GI Systems and Science
The aim of this module is to equip students with an understanding of the principles underlying the conception, representation/measurement and analysis of spatial phenomena. As such, it presents an overview of the core organising concepts and techniques of Geographic Information Systems, and the software and analysis systems that are integral to their effective deployment in advanced spatial analysis.
Credits: 15
Term: 1

BENVGSA4 - Spatial Modelling and Simulation
This course will introduce students to the theory, principles and applications of mathematical and computer modeling as applied to cities. It will be based on five interrelated themes: an introduction to definitions of models as they relate to the philosophy of science; the model-building process involving calibration and prediction; types of urban models ranging from land use transportation models, microsimulation, discrete choice, cellular automata and agent-based models; the exploration of two specific types of model, namely land use transportation; and then cellular automata ABM.
Credits: 15
Term: 2

EDUCGE01 - Investigating Research
EDUCGE02 - Professional Development in Practice

ADMISSIONS
Informal enquiries should be directed to the course director, Dr Andrew Hudson-Smith.
To apply for a place on this course, please follow the directions from the UCL Admissions website.

2010-02-05

GIS and Augmented Reality in 2015

The last 12 months has seen a turning point in terms of bringing geographically aware augmented reality to mobile devices. Significant developments in locational technology such as the inclusion of a built-in digital compass, GPS (Global Positioning System) and accelerometers into mobile phones have allowed not only location but also heading, and pitch to be detected and therefore incorporated into data display systems. These built-in technologies have brought augmented reality to the hands of the masses, and the phones themselves have sparked a market driven boom in fusing augmented reality with location-based services (LBS).Currently applications are in their infancy and mainly focused on specific topics such as ‘show me where the closest x is’. This however represents the tip of the iceberg with the addition of a GIS into the mix there is notable potential for the industry.

The short paper below was written by Sung-Hyun Jang of the GIS and AR blog and us here at digital urban as part of a larger wide ranging technical report for the Association of Geographic Information which is coming out soon. You can read the short below via Issuu:

To keep up to date with all things GIS and AR, head over to Sung's GIS and AR blog.

2009-06-17

Worlds First Mobile Augmented Reality for Android: GIS in the City

Combine GIS with mobile devices equipped with a digital compass and GPS and what do you get? Datascapes that can be mapped and layered on top of any object in the city, the potential for moving GIS and locational based services direct into the field is to be honest huge and now the first service has launched in the Netherlands via SPRXmobile. Known as Layar, it is the worlds first mobile Augmented Reality browser, which displays real time digital information on top of reality (of) in the camera screen of the mobile phone.

While looking through the phone’s camera lens, a user can see houses for sale, popular bars and shops, jobs, healthcare providers and ATMs. The first country to launch Layar is The Netherlands. Launching partners are local market leaders ING (bank), funda (realty website), Hyves (social network), Tempo-team (temp agency) and Zekur.nl (healthcare provider).

How it works

Layar is derived from location based services and works on mobile phones that include a camera, GPS and a compass. Layar is first avaliable for handsets with the Android operating system (the G1 and HTC Magic). It works as follows: Starting up the Layar application automatically activates the camera. The embedded GPS automatically knows the location of the phone and the compass determines in which direction the phone is facing. Each partner provides a set of location coordinates with relevant information which forms a digital layer. By tapping the side of the screen the user easily switches between layers. This makes Layar a new type of browser which combines digital and reality, which offers an augmented view of the world.

2009-01-27

Punch Card GIS: The Canada Geographic Information System

The Canada Geographic Information System (CGIS) was developed in the 1950s and 1960s to assist in regulatory procedures of land-use management and resource monitoring. At that time, Canada was beginning to realize problems associated with its seemingly endless boundaries, in combination with natural resource availability.

The government therefore decided to launch a national program to assist in management and inventory of its resources. The simple automated computer processes designed to store and process large amounts of data enabled Canada to begin a national land-use management program and become a foremost promoter of geographic information systems (GIS) (ref wikipedia).

The movie below is the second of a three part documentary on the system, it details the digitising process beghind the CGIS and provides an insight into how anywhere in the world can be located using 'numbers':

You can recreate the 1960's experience by loading up ArcMap and making 'beeping' noises while punching small holes in a business card.

Take a look at the other parts via YouTube.

Thanks go to Patrick Weber for sending round the link.

2009-01-21

Data Visualisation the Easy Way: UUorld

UUorld (pronounced "world") is a company with mission to transform information into knowledge by providing a map-making and data-visualization tool. And despite our naturally wary view of such claims they are doing a fantastic job so far. UUorld is one of the easiest and most informative data visualisation tools we have used for a long while. It allows access to a vast online database as well as direct import of data via .CSV files, for the purpose of communication, outrearch or data displays within companies or local authorities this is well worth a look. Non commercial usage is free with commercial use at a economic model changing $49.

In short we are impressed, the big players should take note - in the video below we take UUorld for a spin:

UUorld - Data Visualization Example from digitalurban on Vimeo.

The movie starts off with a look at Population Density in the US - note the peak of New York. The software allows scales and colour to be changed on the fly along with access to the raw data sets for some more detailed spatial analysis. Secondly we move onto number of airports on a global scale, again just to show use of the portal and visualisation before finally visualizing private employment data.

Data visualisation has perhaps never been so easy - take a look at http://uuorld.com/ for details and download, its quite a find.

2008-05-15

Geographic Visualization: Concepts, Tools and Applications Book

Geographic Visualization: Concepts, Tools and Applications is now available in all good book stores, edited by Martin Doge, Mary McDerby and Martin Turner it includes a chapter by us on the 'Visual City' and is genuinely a must read for those interested in the field.

The text covers the impact of three-dimensional displays on user interaction along with the potentialities in animation and clearly explains how to create temporally sensitive visualizations. It also explores the potential for handling mobile data and representing uncertainty; as well as the role of participatory visualization systems and exploratory methods.

It's hallmark features include: an introduction to the diverse forms of geographic visualization which draws upon a number of theoretical perspectives and disciplines to provide an insightful commentary on new methods, techniques and tools; richly illustrated in full colour throughout, including numerous relevant case studies and accessible discussions of important visualization concepts to enable clearer understanding for non-technical audiences; and, chapters that are written by leading scholars and researchers in a range of cognate fields, including, cartography, GIScience, architecture, art, urban planning and computer graphics with case studies drawn from Europe, North America and Australia.

This book is an invaluable resource for all graduate students, researchers and professionals working in the geographic information sector, computer graphics and cartography.

You can buy the book online via our Amazon Essential Reading Store...