For more head over to http://geotheory.org/
We like it so much it is slide one in our lecture on Geography in a Web 3.0 World at the Research Methods Festival 2012 at Oxford University next week...
Showing posts with label CASA MRes. Show all posts
Showing posts with label CASA MRes. Show all posts
2012-06-26
3D Visualisation of World Flight Paths
Robin Edwards, a student on our MRes in Advanced Spatial Analysis and Visualisation here at the Centre for Advanced Spatial Analysis, University College London, has used Processing to create a visualisation using data from OpenFlights.org.
The clip below visualises approx 50,000 active flight-paths,interpolating motion along great circle paths for dynamic effect:
Robin notes that it does not account for multiple airlines or scheduled flights, but the path data still seems a reasonable proxy for flight visualisation.
2012-06-01
Processing - Building Structures with Cellular Automata
As part of the MRes of Advanced Spatial Analysis and Visualisation in CASA, the course has been exploring various techniques relevant to urban modelling and visualisations, such as Cellular Automata and (CA), Agents Based Modelling. These approaches can be abstract visualizations and in these terms, Flora from http://en-topia.blogspot.co.uk/ has been looking in CA by building vertical structures over time using Processing.
The clip was created in the context of the the visualization course by Martin Austwick, in the MRes ASAV 2011.
2012-05-31
Visualising World Flight-Paths in 3D
Robin of geotheory.org and a student on our MRes in Advanced Spatial Analysis and Visualisation course here at CASA, University College London has created an interesting movie looking at data from openflights.org.
Created in Processing the clip visualises 50,000 active flight-paths:
Take a look at http://geotheory.org/ for more examples...
Created in Processing the clip visualises 50,000 active flight-paths:
Take a look at http://geotheory.org/ for more examples...
2012-05-09
ESRI CityEngine, Lumion, and SketchUp - The Ultimate City Toolkit?
Over the last few weeks we have been looking at ESRI's CityEngine and how it can be used to create rapid urban scenes. As we noted it moves GIS visualisation a step forward while at the same time bringing procedural city modelling into the mainstream game engine world. Of course the heart of the CityEngine is the ability to import real world data but to get to grips with the interface it is sometimes easier to look at creating urban scenes from simple procedural rules.
As part of the MRes in Advanced in Spatial Analysis and Visualisation, here in CASA we have been looking at various techniques to visualise urban data. One such technique is the creation of a 3D exhibition space, allowing agent based models and urban data to be visualised within an architectural space.
Music by Portoponte
As part of the MRes in Advanced in Spatial Analysis and Visualisation, here in CASA we have been looking at various techniques to visualise urban data. One such technique is the creation of a 3D exhibition space, allowing agent based models and urban data to be visualised within an architectural space.
The movie above combines the use of CityEngine in Lumion with SketchUp and 3DMax to insert an exhibition space into a city while burning the CASA logo into the street network. CityEngine is a notable step forward for ESRI, both in terms of visualisation and analysis, linking it with Lumion and SketchUp allows it to be taken even further, towards the ultimate city creation toolkit...
2012-03-20
City in a Book: Augmenting the CityEngine
Over the past few days we have been working on a series of techniques to visualise and augment procedural cities.
.JPG)
If you add in a model of a BenQ projector, the MRes in Advanced Spatial Analysis and Visualisation Handbook, a city within the CASA logo and a webcam you get the following augmented reality:
We are exploring this as part of our digital visualisation module on the MRes here in CASA, aiming to build in the latest research into the lectures. The combination of Lumion, 3DMax, Illustrator, CityEngine and AR is intriguing...
.JPG)
If you add in a model of a BenQ projector, the MRes in Advanced Spatial Analysis and Visualisation Handbook, a city within the CASA logo and a webcam you get the following augmented reality:
We are exploring this as part of our digital visualisation module on the MRes here in CASA, aiming to build in the latest research into the lectures. The combination of Lumion, 3DMax, Illustrator, CityEngine and AR is intriguing...
2012-02-02
Data Space: Agent Based Models, SketchUp, Visualisation, ArcGIS and Lumion
Over the past few weeks we have been exploring exploring new methods and techniques for visualising data. Developed as part our Masters course in Advanced Spatial Analysis and Visualisation we are now looking into issues of scale, realtime rendering, rapid visualisation and 3D exhibition spaces.
Regular readers will know we have been exploring Unity due its interactive nature and ability to import various file types into its game engine (see Particles, Agents and Emergent Behaviour ). Unity is still an option but for rapid visualisation Lumion also offers distinct possibilities. The movie below details our first draft example of building an exhibition space (SketchUp), retexturing and adding various crowd/delegate models (3DMax) and the Twitter map (ArcGIS) using Lumion:
If Lumion offered a stand alone viewer rather than purely movie based output then it would be our engine of choice. As such it is currently a weigh up between Lumion and Unity, our Unity example is under development, we will post it soon as we can...
Regular readers will know we have been exploring Unity due its interactive nature and ability to import various file types into its game engine (see Particles, Agents and Emergent Behaviour ). Unity is still an option but for rapid visualisation Lumion also offers distinct possibilities. The movie below details our first draft example of building an exhibition space (SketchUp), retexturing and adding various crowd/delegate models (3DMax) and the Twitter map (ArcGIS) using Lumion:
If Lumion offered a stand alone viewer rather than purely movie based output then it would be our engine of choice. As such it is currently a weigh up between Lumion and Unity, our Unity example is under development, we will post it soon as we can...
2011-04-08
UCL Campus Life and 2011 Open Day
With our new MRes in Advanced Spatial Analysis and Visualisation (ASAV) now open for 2011/2012 entry. We thought we would post a couple of videos to get a flavour of the unique UCL campus:
UCL Open Day 2010:
Bookings for the 2011 open day will go live at the end of April, in the meantime you can take a self guided tour which is a great way to understand UCL, the campus and the goings on at London's Global University.
UCL Open Day 2010:
Bookings for the 2011 open day will go live at the end of April, in the meantime you can take a self guided tour which is a great way to understand UCL, the campus and the goings on at London's Global University.
2010-07-21
Vacation/Holiday and MRes Application Deadline
To be honest, going 'offline' is going to be tricky but due to a lack of network coverage at our destination its going to have to be cold turkey away from the blog and connectivity in general.
In the meantime, we have over 1600 posts so feel free to click around and of course there is always the MRes in Advanced Spatial Analysis and Visualisation to apply for - depending on University rules its looking like you have a week left for 2010 entry.
We will be back August 2nd....
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.
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.
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.
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.
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
Course Delivery
Modules
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/
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.
2010-05-12
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 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 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.
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.
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.
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.
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 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
Modules
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.
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