Re: [Talk-GB] UK Quarterly Project Oct-Dec 2016

2016-09-26 Thread SK53
The three obvious categories are restaurants (inc. cafes), takeaways &
pubs. Supermarkets is a small set. Schools we've already done. Retailers
(other) covers convenience stores and other small food shops. The other
categories are less useful (although care homes in conjunction with CQC
Open Data is a relatively small group which is probably undermapped).

I'd actually avoid trying to filter on groups because in general it's much
easier to maintain data for rows of shops which is complete. One runs into
issues with nodes being slightly misplaced, name changes etc which in the
end make it harder to track. It was Paul William's mapping of Mansfield
Road in Nottingham back in 2011 which made me realise this. I'd done a bit
of shop mapping before a London pub meeting and found my productivity was
really low because bits & pieces were already there but not quite in the
right place.

The selection criterion I used when I did this back in 2013 for Nottingham
was numbers of FHRS entries per postcode. I used QGIS to show these as bubbles
and was able to create a
GPX file from QGIS for my Garmin. The advantage was that I could knock off
a known number quickly: mainly I just visited a place on Sunday morning &
took photos, a few house numbers from the surrounding area for additional
context for addressing & that was it. Of course these leaves you with
isolated ones in funny places, but most of these I linked to when I was
doing something in the car so that it was easier to visit the sites quickly.

Jerry

On 26 September 2016 at 12:40, Dave F  wrote:

> A.
>
> However the FHRS database is quite big, so maybe just do a subset, say,
> restaurants?
>
> Dave F.
>
> On 26/09/2016 12:20, Jez Nicholson wrote:
>
> 5 days to go until the next UK Quarterly Project
>
> Without spinning off into a discussion of the merits of each
> suggestionwhat do we need to do to agree the subject?
>
> I believe that suggestions were:
>
> A. improving address data for town centres using the food hygiene dataset
> B. town centre blitzes
> C. civil parishes
> D. trig points
> E. speed limits
> F. a collaboration with the German Community
>
> please repeat and expand the list if I missed one.
>
> Regards,
>  Jez
>
>
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Re: [Talk-GB] UK Quarterly Project Oct-Dec 2016

2016-09-26 Thread Dan S
2016-09-26 12:20 GMT+01:00 Jez Nicholson :
> 5 days to go until the next UK Quarterly Project
>
> Without spinning off into a discussion of the merits of each
> suggestionwhat do we need to do to agree the subject?
>
> I believe that suggestions were:
>
> A. improving address data for town centres using the food hygiene dataset
> B. town centre blitzes
> C. civil parishes
> D. trig points
> E. speed limits
> F. a collaboration with the German Community

Well, I think my suggestion was:
G. opening_hours for local services such as cafes/restaurants

I think this would mesh well with suggestion A, but please note that
suggestion G is not sourced from any particular dataset.

Best
Dan

> please repeat and expand the list if I missed one.
>
> Regards,
>  Jez
>
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Re: [Talk-GB] UK Quarterly Project Oct-Dec 2016

2016-09-26 Thread Dave F

A.

However the FHRS database is quite big, so maybe just do a subset, say, 
restaurants?


Dave F.

On 26/09/2016 12:20, Jez Nicholson wrote:

5 days to go until the next UK Quarterly Project

Without spinning off into a discussion of the merits of each 
suggestionwhat do we need to do to agree the subject?


I believe that suggestions were:

A. improving address data for town centres using the food hygiene dataset
B. town centre blitzes
C. civil parishes
D. trig points
E. speed limits
F. a collaboration with the German Community

please repeat and expand the list if I missed one.

Regards,
   Jez


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[Talk-GB] UK Quarterly Project Oct-Dec 2016

2016-09-26 Thread Jez Nicholson
5 days to go until the next UK Quarterly Project

Without spinning off into a discussion of the merits of each
suggestionwhat do we need to do to agree the subject?

I believe that suggestions were:

A. improving address data for town centres using the food hygiene dataset
B. town centre blitzes
C. civil parishes
D. trig points
E. speed limits
F. a collaboration with the German Community

please repeat and expand the list if I missed one.

Regards,
 Jez
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