So, in terms of author there are several reasonable choices, but the detail is
David Over, 21st Century Challenges, RGS-IBG Royal Geographical Society with Institute of British Geographers
However
That is a long name for an author for your citations and it is probably best to abbreviate...
I did not find details about David Over and that name is not shown in a common rendering so I decided to omit that detail in my recommendation.
My recommendation is
21st Century Challenges, 2010. How will Britain deal with an ageing population? (RGS-IBG Royal Geographical Society with Institute of British Geographers 21st Century Challenges series web page) [online] Available at: <http://www.21stcenturychallenges.org/focus/britains-greying-population/> [Accessed 30 November 2010].
National Electronic Library for Health, 2003. Can walking make you slimmer and healthier? (Hitting the headlines article) [online] (Updated 16 Jan 2005) Available at: [Accessed 10 April 2005].
Following the example, the following is my recommendation:
The latter of these archived documents dates back over ten years and may indeed be the same as the document on date of publication, but alas we may never know.
Interestingly it refers to a different URL which I discovered by browsing the archive...
If refering to a comment on the article from within the web page resource, you should do something different...
School of Geography work is currently gratis until 2011-02-01
School of Geography is to fund me (if funding is not secured from other sources) starting 2011-02-01
Organisational data for the university and other organisations in the region
Getting open linked data in place, the next steps
Is there any effort on-going at the University of Leeds?
Can we at the University of Leeds follow the University of Southampton and the Open University who seem to be leading the way, with the universities of Oxford, Bristol and Lincoln (and others?) in tow?
Langston P, Clarke G P, Clarke D B, 1997, "Retail saturation, retail location, and retail competition: an analysis of British grocery retailing" Environment and Planning A 29(1) 77 – 104 (http://www.envplan.com/epa/fulltext/a29/a290077.pdf). Accessed on 2010-11-17.
Langston P, Clarke G P, Clarke D B, 1998, "Retail saturation: the debate in the mid-1990s" Environment and Planning A 30(1) 49 – 66 (
Poole R, Clarke G P, Clarke D B, 2006, "Competition and saturation in West European grocery retailing" Environment and Planning A 38(11) 2129 – 2156 (http://www.envplan.com/epa/fulltext/a38/a3816.pdf). Accessed on 2010-11-17.
Feedback on First Interim Report
Discussions about data
What do the retail data look like, where are they for and where did they come from?
Lynne Hamill (2010) Agent-Based Modelling: The Next 15 Years. Journal of Artificial Societies and Social Simulation 13 (4) 7 (http://jasss.soc.surrey.ac.uk/13/4/7.html)
Miscellanea
Proposal for Grant 15/10: JISC infrastructure for education and research programme
Failed to submit by the deadline as it needed a statement of support from someone higher up at the University of Leeds
I overlooked this requirement and did not request the statement until too late...
Outline of the proposal targetted at the Geospatial strand of the call but also related to other strands:
This objective is to catalyze the development of geospatial Linked Data about Leeds focussing on the education, information, public service and commercial partner communities. The aims are to:
Encourage collaboration between Leeds City Council, Ordnance Survey and OpenStreetMap in their development of detailed geospatial data for the region.
Approach schools, further and higher education organisations, libraries, museums, organisers of online geographical collections, public sector service providers and commercial organisations that either develop data about or provide services to Leeds city region.
Encourage metadata about geospatial collections to be registered with relevant repositories and assist with metadata creation when this seems appropriate.
Encourage the development of open Linked Data about the organisations in Leeds including details of expertise and skills down to the individual level
Compile open Linked Data for the Centre for Computational Geography and the School of Geography at the University of Leeds.
Compile open Linked Data in partnership with other organisations to link data and services in Leeds.
Develop learning materials for developing and using OpenStreetMap, Wikimapia, Wikinfo, Wikipedia, DBPedia and other web content for geography.
Undertake school outreach which focuses on engaging schools in the development and use of geographical data about their areas.
Trait-Based Simulator or Tropical Biome Simulator (TRB)
Model assumes Perfect Plasticity (Purvey 2008)
Each tree is an individual entity in the model with
Functional grouping based on
Structural properties
Biochemical properties
Characteristics
Height
Age
Proportion of leaves on average in shade on an average day
Cumulative exposure of leaf area to direct sunlight
Photosynthetic rate
Etc
Each tree is supplied with nutrients and water as part of the model
Each tree accumulates carbon in roots, trunck and branches, fruit/seeds
A biological tree growth model might work at the resolution of individual leaves or indeed stomata, but this is currently out of scope for a model on a forrest scale.
Many trees are completely in the shade for a large or entire part of the day.
A canopy tree is a tree which in a sky with no cloud will recieve some direct sunlight during the day.
Teaching
GEOG3600 Marking
Met with Helen Durham to try to standardise marking of First Interim Reports
My marks of Helens students were generally significantly lower and our rankings did not match exactly, but we generally agreed.
I am more confident about marking this now, but feel like some standardisation across clusters might help Nicola Wood.
GEOG1300 Marking
Turner's curve in full effect: It takes only a fraction of the time to mark a good essay compared to a poor one!
Statistics for 2008 and clarify section on road incidence rate prediction. Cite and reference prediction from 2002 and produce own based on linear trend extrapolation from 2002 and 2008 data
Nawaf to do this for Riyadh
Andy to do this for London
Figure 1 regional Context Map
This needs to be improved
We need a static map as this is old school publication
It would be good to embed something like the following, but this is too big an ask
We can consider using this Google data as the regional scale map does show the boundaries from neighbouring regions to Riyadh which we want but don't have...
Andy to email Anna Clough to ask for license so Nawaf can use proprietary GIS software on his laptop
done
Next meeting in a week
By then Andy hopes to have produced a first draft...
To take basic steps to collaboratively link data for mapping and modelling the city more efficiently.
There is a lot of duplication of effort especially in learning what to open up and how to make data available for linking.
Put together an action force that reaches out to all organisations in Leeds to get this ball rolling.
The hope is that the resulting linked data will link data about infrastructure with organisations and individuals.
Some elaboration
Educational establishments in Leeds could learn how to and get a system in place to provide data about them and their buildings and staff and students as linked data and feed this into Edubase and other relevant data stores (e.g NPD).
Each organisation focusses on developing and linking its own linked data
A business could map and make data available about its inputs, outputs and processes
Key Organisations
Leeds Local Educational Authority
Leeds City Council
Education Leeds
Libraries, schools, FE and HE institutions
Hospitals
Food Industry
Manufacturing Industry
Retail and Service Industry
For FE and HE institutes there is growing pressure to provide information to prospective students about the types of employment and salary of alumni students
Prospective students will want to know what are the costs and prospects of a university education
What type of career and salary to expect with a particular classes of degree in a particular courses from particular institutions.
What is needed to make this work?
Some kind of security to maintain confidentiality and control disclosures
The houseprice data analysis needs to be sketched out
Data might need cleaning
Remove any non-London postcodes?
Initial exploratory data analysis is needed to examine the coverage of data
Get coordinates or otherwise produce first geographical maps of the data
Critique the maps and the data
Further exploration
Temporal pattern/distribution of data
Spatial patterns/distribution of data
Attribute breakdowns
Type of property
Links to other data
MasterMap/Remote sensed data
How to create maps and graphs of houseprice changes over time?
Identifying the same properties sold at different times
What is there distribution over London?
Is there anything similar about areas with no or less data?
Mixed approach which is both exploratory and data based and theory and knowledge driven.
Null Hypothesis: There is no geographical pattern and houseprices and houseprice changes in both absolute and relative terms are identically distributed across space and time.
What are the uncertainties?
Property changes over time
Will interviews be more successful following an initial write up of analysis?
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