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Posts Tagged ‘mapping’

Spot hard data pattern, add soft knowledge

Thursday, February 2nd, 2012

All the development work we’re currently doing is designed to allow users to share data and map visualisations with colleagues and stakeholders. We’re automating that process by which you call someone over to look at something on your screen – together with the process of gathering the comments they make. A hotspot (or coolspot) on a map often prompts someone with local knowledge to say, “Oh, I know that road, it’s different from the next street because…”

This qualitative knowledge makes sense of the quantitative evidence and often contains the insights you need to make a decision based on the findings. The more people you involve, the more reliable the consensus findings become.

Here’s an example of a visually distinct correlation between two datasets for Great Manchester which needs some local qualitative knowledge. We were thinking about this week’s debate over the status of some qualifications being downgraded in school league tables, and whether employment data could indicate any relationship between school attainment and the value delivered back to the surrounding community.

In an exploratory way, we looked at data for the city for residents with level 4 qualifications and above (level 4 is one higher than A levels, e.g. diplomas, professional certificates, on up to HNDs, degrees, masters and so on). Almost accidentally, we compared this city-scale data pattern with residents employed in manufacturing. The two maps are below:

Percent residents with level 4 qualifications & above (darkest shades = 30%+)

Percent residents employed in manufacturing (darkest shades 20%+)

If we image a slice of pie extending south from the centre of the city, the lack of manufacturing employment and the relatively high level of qualification is visually evident (and yes, Moss Side is a blob in the middle of the pie slice – but the inverse relationship between the two phenomena seems consistent even here). The tools we’re building allow you to add markers and annotations to illustrate something exactly like this, but we’ll have to make do with pie for now.

So does manufacturing still offer relatively high levels of employment to those workers with qualifications below level 4, as we might have expected 30 years ago perhaps? Or is it more significant that higher-qualified people are disproportionately likely to live south of the centre and be employed in the service sector?

With more and better data, could we test the hypothesis that qualifications relevant to manufacturing and other local employers would add even greater value to the community than traditional academic exams – perhaps in the shape of a reduced benefits budget and related regeneration effects?

The truthful answer here and now is that I don’t know, but I bet among the residents of Manchester and equivalent cities the ‘soft’ knowledge exists to make perfect sense of these patterns, once we know they’re there, and to shape policy accordingly.

Any insight to share? Let us know below. Meanwhile it’s back to the coding coalface…

Cutting the mustard

Monday, October 4th, 2010

Which non-profit organisations will survive the comprehensive spending review?

As we wait to see what the comprehensive spending review brings us, I’ve been struck by the different responses to the funding cuts among the various government departments, quangos, non-profits and others we meet and work alongside.

Some have a touch of fatalism. “There’s no money in food,” sighed one experienced campaigner in the sector this month. Supermarket profit figures flickered through my mind, but I knew he was talking about funding for food security research.

Major supermarket chains may grow more interested in this as their supplies become unaffordable, but it’s currently the domain of campaigners and environmental researchers and it’s certainly true that government investment is hard to come by.

Others seem to be quietly getting on with things, remaining committed to their objectives and hoping they can still be delivered through shrunken enterprises or other organisations altogether.

Now, I can’t comment on the management bloat or otherwise at the top of the Audit Commission, but the research teams we worked with in this particular quango slated for closure were efficient, knew what they wanted, handled procurement carefully and economically, and applied a great deal of knowledge and insight to the findings. Based on my own experience, I find it hard to believe that taxpayers are being well served by losing all this expertise to the ether.

Then there are organisations previously funded by government now being forced to seek alternative sources of income. Many have information, expertise and services which have commercial potential, but the change of culture can be an uncomfortable ride.

As a bog-standard commercial company with salaries to pay and shareholders to please, we’ve occasionally encountered suspicion from those who’ve been working to a charitable, academic or government agenda, as if any company with a profit motive must be unethical by design.

I’ve never believed this, and I hope one benefit of government, commercial and third-sector bodies being thrown together in Big Society-style partnerships is that boundaries will be blurred and cultures will rub off on one another.

Whether it happens quickly enough to save the non-profits for whom profit has suddenly entered the vocabulary remains to be seen: my money’s on those staffed by people who understand the value of their own knowledge and how they can help others benefit from it.

Then there are the armies of local community organisations who never had much money in the first place. Somerset Community Food are a good example of a group which has pursued funding from appropriate sources and is enabling other participants to contribute information to their FoodMapper project quickly and easily. You don’t have to be grubby and commercial to realise that investing wisely in your information assets will deliver returns to your cause.

And of course that’s the common theme, the ultimate differentiator which will separate those organisations and individuals who will sink and those who will swim. There’s money in food, and there’s money in every other sphere of sustainability research. We just need to channel it to the organisations who are building vital insight, working to make sure it reaches the decision makers, and taking the best from government, commerce and third sector cultures to keep the important work going.

Mark Thurstain-Goodwin

London’s 3-D retail landscape

Wednesday, November 4th, 2009

Mark Thurstain-Goodwin writes: I like this map. It’s simple, it’s effective, and it’s strangely beautiful – everything a great data visualisation should be.

London's retail density expressed as a 3-dimensional data surface
The analysis takes the number of individual shop premises in the town centres surveyed every six months by The Local Data Company, then visualises these numbers in three dimensions over a map of London’s West End and surrounds.

(Note that a similar analysis could also be done for total floorspace, but this one is for the number of retail units – giving rise to interesting peaks like the one for Brixton in the right-hand foreground).

We can see the highest peaks around Oxford Street and Knightsbridge, with notable neighbours going East to the City, north to Camden and Islington and a clear mountain range along the length of the King’s Road. Through the semi-transparent data layer we see the importance of the road network to peak retail locations, even in a city with a well-developed public transport infrastructure.

Also significant is the clear peak of retail density at the new Westfield shopping centre at White City, as new a feature as an Icelandic volcano emerging from the sea.

Not only are these peaks immediately identifiable by location, but the 3-D treatment makes a map legend almost unnecessary, and makes comparison of relative heights (i.e. retail densities) at different locations immediate and straightforward. The simple visual metaphor of ‘highs’ and ‘lows’ across a landscape perfectly complements our understanding.

The underlying data here, mapped and available online with vacancy rates, churn, multiple / independent mix, floorspace and more for 1,300 UK town centres via LDC’s Town Centre Intelligence (powered by Geofutures), is acknowledged to be the most up to date available.

But actually I like this map for what it shows us about all data – that if we put information on a map we reveal its highs, lows and hidden insights.


Food security and the need for GIS models

Wednesday, September 9th, 2009

As expected, the recent paper ‘Can Totnes and district feed itself?’ (see earlier posts) has started stirring things up. An intriguing response comes from Colin Tudge, a director of LandShare CIC (co-funders of the research) and leader of the Campaign for Real Farming.

Colin’s thesis is that the food security issue is a simple matter of feeding the population as far as practical from local sources, recognising that some trade between specialist production areas will always be necessary. He argues that we simply need macronutrients (energy foods and protein), mainly in the shape of grains, and micronutrients – vitamins and minerals – and that by growing lots of wheat and encouraging more urban horticulture we can feed ourselves. I’m brutally over-summarising, of course, but he is keen to keep things simple.

This desire for simplicity makes him question the value of analyses like the land use mapping Geofutures did for this piece of research: “Elaborate models analyzing overall ecological footprints of particular communities in fine detail are not necessary. So long as we do the best we can within the guidelines we can’t really go wrong,” he writes.

However, at the end of his commentary he includes a postscript in a different mood. “This and all the other questions raised in this essay could and should have been addressed decades ago, and would have been addressed by any government that was truly alert to world trends. There are many other questions, too – scientific, economic, sociological, moral, practical. Since the government is unlikely to act this side of food riots (which it will treat at “terrorism” and call out the riot police) people who give a damn need to ask the questions for ourselves.”

I believe in these sentences Colin contradicts his own conclusion that research – even elaborate models – are unnecessary. The Transition movement has been successful because it responds positively to this fear. People who have never been engaged in environmental questions are getting involved and feeling empowered to help plan their communities’ futures.

And government (here I include many local authorities, which have embraced Transition planning in local strategic plans) is witnessing this community feeling and slowly starting to respond. To encourage this and make energy-descent planning truly meaningful, major resources and policy shifts are needed. My experience of this kind of government is that is moves slowly and demands evidence before committing taxpayer’s money. The farming community needs evidence before it will change any current practices too.

Food security is not a stand-alone issue, of course. The land use analysis and mapping undertaken for this study was not as detailed as we would like – it needs local data from across the country to move to next level – but even so it revealed absolutely fundamental issues which will impact food relocalisation and our life experience after Peak Oil.

There is not enough woodfuel for space heating. If we need to relocalise food production, people will need to live in rural areas, including building houses on protected rural land. And major conurbations overwhelm the foodsheds of surrounding communities. Even if we could be steadfastly common-sense in our approach to planning future food supply, I’d say joined-up planning encompassing these kinds of issue is going to need a wee bit more research to get it right.

Colin describes his own analysis of food security as ‘radical’, and his faith that common sense will prevail without major shifts in political and economic priority is certainly that. In using phrases starting “What all cities can do is…” he is not acknowledging the gap between technical possibility (yes, we can all plant tomatoes on our balconies) and reality (but we won’t while we can still get them dirt cheap at Lidl, and by the time we realise we’re really in an energy crisis it will be too late).

The Transition movement is precisely about how we move from here to a more attractive version of the future, and for me that’s where there’s plenty more meaningful research still to be done.

Mark Thurstain-Goodwin

Read Colin’s full commentary here.

Foodsheds, the mashup

Thursday, July 23rd, 2009

Fresh off the Geofutures GIS mashup assembly line is an interactive version of the maps we produced for the ‘foodshed’ surrounding Totnes and its neighbouring towns in Devon. This is a static image – please link through to see the functioning mashup. (Note that currently a bug in Firefox 4.0 prevents the data layers being visible – if you encounter this please use an alternative up to date browser – thanks.)

A static image from the Totnes and district foodshed mashup by GeofuturesThese maps are the results of our food security analysis published together with the Transition Network this month – you’ll find details of our methodology and a link to the full report in our earlier post.

The analysis is based on Defra land classifications, a permaculture model and a ‘food zoning’ model based on perishability and labour intensity, which places fruit and vegetable growing areas closest to the town, followed outwards by cereals and other food crops, dairy and beef, and finally sheep farming on the poorest soils furthest from the town.

Have a play and see how you can zoom in to see the component parts of the foodshed. Doing so against an aerial photography background brings home how a relocalised food economy might look around this classic market town.

Of course, the analysis raises many more questions: about the overlap between towns’ foodsheds, the lack of sufficient woodfuel and the urgent need for more fine-scale land use data among other issues. As Transition founder Rob Hopkins wrote in his blog, food scarcity is how wars start – unless, we hope, we’ve done much more analysis of this kind to plan for it effectively in advance.

It’s a good example of how GIS, spatial analysis and mapping data can bring possible future scenarios to life, igniting debate and making results widely accessible to experts and non-experts alike. For us, it’s satisfying applied to any sector, organisation or data type, but food security analysis probably has the widest implications of anything we do.

Hotspots leave a warm glow

Friday, July 10th, 2009

Mark Thurstain-Goodwin enjoys seeing Ipsos MORI put spatial data in front of local authorities

It’s nice to have your career choice reaffirmed from time to time. I did feel a bit of that special warm glow this month at a great event organised by our clients Ipsos MORI to launch their National Indicators Mapping Application (NIMA), developed by Geofutures.

What set me glowing? Being reminded that a picture is worth a thousand words (the bumper-sticker of GIS professionals everywhere). In fact it was two pictures, so maybe that’s two thousand words. Here they are:

Twin images of perception data in North London from Ipsos MORI's NIMA app show strong correlation

Twin images of perception data in North London from Ipsos MORI's NIMA app show strong correlation

The audience, a who’s who of local authority research heads and their suppliers, got a whistle-stop tour of all Ipsos MORI’s work in this important market, and NIMA was centre stage. All authorities now have to poll their electors on 198 National Indicators of satisfaction and the factors affecting it, and NIMA provides instant online insight into the results. Side-by-side ‘double view’ comparisons of maps like these are a key part of the application.

What these two visualisations show are three key reasons why mapping these kinds of data is such a compellingly good idea: the correlation of the two hotspots, the fact that both are visible despite the ward boundaries, and the geographical context that the map offers.

So firstly, the two maps describe responses to two different survey questions: overall satisfaction/dissatisfaction with the area as a place to live on the left, and perception of social cohesion on the right. Only by locating these respondents on the map in a statistically smoothed data landscape can we so immediately see the close spatial correlation of the low-perception hotspots. For a local authority looking for ways to focus resources in hotspots of this kind, to deal with specific issues where they are being experienced and to maximise policy effectiveness, the benefits are obvious.

And if your local authority is only offering National Indicator results by ward, IMHO you want to be asking how efficiently they are spending your council tax. If the same results had been aggregated by ward, the hotspots would disappear altogether. It certainly wouldn’t be evident that dissatisfaction and issues of social cohesion were concentrated in one area which impacts sections of four separate wards. Tying data to actual location, rather than some arbitrary zonal boundary, is a key benefit of GIS analysis. Cue warm glow.

And a map does another simple but fundamental thing: it shows what’s on the ground in the hotspot locations. These two hotspots have a major roads running through them. Does this mean we’re looking at a pocket of high-density roadside dwellings choked with exhaust fumes, whose residents are struggling with low incomes, transient neighbours and the social issues that go with them? The sort of neighbourhood where local authorities really need to send their outreach workers?

Intriguingly, no. Zoom into an aerial image of Hendon Wood Lane and you’ll find leafy open spaces, substantial detached houses, gardens and even a smattering of swimming pools. This is where the hotspots of community dissatisfaction and perception of poor social cohesion are undoubtedly to be found, but not I suspect because of social deprivation.

Again, a map visualisation proves its worth, hinting at a fascinating little area for further exploration.

Food footprints: re-localising UK food supply

Wednesday, July 8th, 2009

What happens when oil is too expensive to transport food around the world?

To avoid famine and food conflicts‚ we need to plan to re-localise our food economy. This map is part of that process – showing the food requirement ’footprints’ around settlements in SW England.

Use the pan and zoom controls to view your chosen area‚ and read more about how Geofutures is mapping our food future below.

 Overlapping town footprints  Add major towns
 Non-overlapping town footprints  

The UK’s future food security depends upon domestic farmers‚ the market network and some clever use of data. Planning for our food future needs to start now.

In December 2008, Geofutures founder Mark Thurstain-Goodwin told the National Food Markets Conference in Blackpool that the UK’s food security is more precarious now than before we faced the WW2 U-boat blockade.

We are heavily dependent on the global food economy. When oil supplies diminish and prices inevitably rise in future‚ we will no longer be able to afford to import our foods. The answer must lie in re-localising our production of food‚ fibre and fuel‚ but as Mark argues‚ there are ways in which we can use data to hugely improve how efficiently this is done. The map here is part of that analysis.

Peak Oil and food security

Many argue that Peak Oil (the time when extraction from the world’s oilfields hits its physical maximum‚ beyond which it can only diminish with corresponding increases in price) is imminent‚ or even past. The time when oil prices start to affect food supplies doesn’t begin when oil runs out completely‚ but long before that‚ when oil-fuelled global distribution becomes increasingly uneconomic.

This is a central concern of the Transition Network‚ the fast-growing movement enabling communities to plan for increasing their resilience for a post-oil economy now‚ including re-localising food production.

Calculating food footprints

A food footprint is only a very basic representation of the land required around a town to feed its population‚ based on the calculation below.

The map above illustrates circles around communities with a population of over 800, and we can view them as ‘overlapping’ i.e. the absolute size of the land required by that community irrespective of whether this overlaps another footprint, or ‘non-overlapping’ i.e. a footprint size reflecting the size a footprint needs to be according to availability of ’free’ land not occupied by another footprint. In both cases, the size of the circles reflects land which is currently occupied by farmland and gardens‚ i.e. technically available for food production.

The map also allows the footprints of the major towns in the region (Bournemouth, Bristol, Cheltenham, Exeter, Gloucester, Plymouth, Poole and Swindon) to be switched on and off to see the demand that these centres create, although the non-overlapping footprint sizes always reflect the footprint of major towns even when they are not visualised.

Food footprints illustrate simply‚ but powerfully‚ how large an area is needed to fulfil the basic needs of an urban population. It’s a good example of the use of geographic information (GI) science – putting data onto a computerised map‚ in order to create a picture of what’s going on in a way anyone can understand – in which Mark’s company Geofutures specialises.

Can the UK feed itself?

Permaculture expert Simon Fairlie performed a series of calculations on the potential for land to produce enough food‚ fibre and fuel under a series of agricultural regimes. Taking one which Fairlie calls ’Livestock Permaculture’‚ 1 hectare of combined agricultural and forestry land supplies 4.4 people.

Crudely on this basis‚ the whole UK landmass could feed 98 million people – many more than our current population of about 61m – but of course the population is not evenly distributed‚ nor is all land equally productive.

A supporter of the Transition movement‚ for these reasons Mark nonetheless warns against individual communities becoming insular as they plan to re-localise. They may have plenty of surrounding productive land‚ but if it falls within the food footprint of a larger settlement‚ there will be competition for its resources.

How do we plan for the food future?

So how do we plan for a future without cheap food imports‚ without oil-fuelled central distribution depots? Mark argues that the data and technology we have available now can point the way to a domestic food economy in which food can still be moved from areas of lower population to the nearest areas of food deficit‚ having been produced in those areas which best suit farming of grain‚ fruit‚ dairy or vegetables.

GI maps and analysis show us where the population hotspots are‚ and where certain farming types predominate. They also highlight additional future issues for the mix‚ like areas at risk from sea level rise and changes in rainfall and temperature.

Advanced spatial analysis can provide the key to planning how centres of agricultural production can supply their regional hinterlands‚ how the footprint of London and the home counties can co-exist with the footprints of the towns it encompasses‚ and how we can avoid serious food shortages in future.

The scale of a study of this kind and the investment required would not be large – especially compared with the risk of heading into a food crisis blindfold – and Geofutures is seeking research partners and funding to continue this work.

For more information about the Geofutures food footprint analysis, or how GI can help you achieve spatial insight in this or another field, please contact us.

More information about the Transition Network can be found here.

Mapping our food future

Tuesday, June 30th, 2009

Mark Thurstain-Goodwin welcomes publication of a landmark food security study

This week sees the publication of an important paper about future food security. It seeks answers to fundamental questions about how our communities will feed themselves when most food imports from around the world are no longer affordable. Geofutures contributed GIS research and mapping to the project paper, and we’re hoping to move the model onto a national scale.

I first heard Rob Hopkins, founder of the Transition movement, speak to an audience in Bristol in 2007.

He isn’t a big ego, and it wasn’t a glitzy occasion, but the message of the Transition communities is so obviously right. This is where it begins, I thought.

We need to make a transition away from a global economy which is dependent on cheap fossil fuels, because we have reached the peak of their extraction. Indeed, we will make that transition whether we like it or not, because fuel prices will inexorably rise, putting oil and gas beyond our reach well before they run out altogether.

The only question is whether we can effectively plan for it now, understanding what we need to do to make our communities resilient against the changes to come. Alternatively, we’ll experience this transformation through utter chaos – topped up with the impacts of climate change.

Cue the Transition Network, a charity supporting grassroots groups in cities, towns and villages, researching how they can plan and implement their energy descent, calling on expertise from established campaigners, older generations, farmers, craftspeople and other experts to help re-localise some or all of their supply of food, fuel, medicines, building materials, textiles, skills and more.

It’s a strong personal interest for me, but it’s also a professional one. As anyone worth their GIS salt could tell you, this kind of planning is crying out for spatial analysis. We have populations, we have topography, climate and agricultural land types, we have transport networks. To understand what’s happening now and plan for energy descent in future, we need maps.

A map of Totnes and district showing where foodshed analysis suggests re-localised food production could best be located

A map of Totnes and district showing where foodshed analysis suggests re-localised food production could best be located

So on many levels I’m delighted to have the opportunity to work with Rob and his team, putting GIS techniques and mapping to work in a test project for Transition Totnes (the first Transition Town and home to the Network). This builds on our earlier analysis of community food footprints, of which more and a mashup here.

Can we feed ourselves?

The aims of this pilot analysis were first to answer the question ‘Can Totnes and District Feed Itself?’, and second to create the basis for an online model which any community could readily use to answer the same question for its own population.

The answer to the first – plus of course the many other questions which answering it raises – can be found in the project paper. But I thought I’d highlight here a few of the analysis issues which we dealt with, and how we hope the next phase of the project can help.

Data issues

Data availability was a challenge. This isn’t unusual in any study, but the particular issue here is fine-scale information on soil types and land use. In the absence of anything better, we used Defra agricultural land type data to classify where different kinds of food might best be produced around Totnes.

When Cuba encountered its ‘Special Period’ after the collapse of the Soviet Union cut its fuel imports by 80% and local production of food increased many times over, significant within this was micro-production in gardens and balconies, and bringing new space into cultivation such as airfields. Cuba is an extreme example, but it illustrates that our model is only a work in progress, needing much more fine-scale knowledge on potentially productive land, especially urban and woodland, than we now have.

Not out of the woods

Woodland creates its own special questions. This analysis shows that as a source of managed coppice fuel for space heating, the woodland currently available is far too small to meet the needs of every household in the district. Woodland is included in the model as a source of wild meat and biodiversity; the fuel question is not yet adequately answered, and the even more interesting productive potential for woods in the shape of agroforestry also remains to be fully explored.

The fairly coarse categorisation of land types created the potential anomaly within these results that sheep grazing (using the poorest quality land) would take place many miles from Totnes on the edge of Dartmoor. Again, it’s more than likely that pockets of suitable land exist much closer to the town, and we need fine-scale local knowledge to identify them.

Competing foodsheds

The results of the model also highlight the importance of interplay between the foodsheds of neighbouring communities, especially larger centres of population. It will be vital for resources to be shared equitably between cities, towns and villages while production takes place in the most efficient possible locations. In the paper we also point up the need for radical changes in the planning system allowing re-occupation of rural land by local workers.

All of these questions and more will move towards answers if individual Transition communities can get their hands on the Totnes model. This is a network rammed with local, expert knowledge and we need to provide a systematic means to gather, store and share it, while putting the best available technology to work in planning their own communities’ future food production.

Those are the key aims of the next phase of the project: a national roll-out of a refined version of the model, with the means for people to upload land use, productive capacity, soil, microclimate and other data for inclusion in the analysis. I can’t think of a better use of our technology or a more timely call on funding resources.

Transition is well named; we know where we are, and we can start to envisage where we need to get to, but the bit in between is the real problem. Local food networks which will make money for producers in 20-30 years will struggle to compete with supermarkets now. They are not designed for the here and now, but if we don’t bring them into being now it will be too late.

Tools which can help every kind of stakeholder visualise the markets and systems we’ll very soon need will help them come into existence now.

See our mashup of the Totnes foodshed

See Rob Hopkins’ blog, Transition Culture

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