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.venv
organisation.csv
llc.html

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(green-belt-collection) $ git blame --date=iso $(git log -2 --oneline -- collection/endpoint.csv | tail -1 | cut -d' ' -f1) collection/endpoint.csv
^fde75b2 (Paul Downey 2021-05-28 14:56:37 +0100  1) endpoint,endpoint-url,parameters,plugin,entry-date,start-date,end-date
05167dc5 (Paul Downey 2022-03-09 15:51:04 +0000  2) 21f6ac0160488dfdab4fae54bea1940ec2827e9c80d3b8df7ea73a45229c000f,http://maps.communities.gov.uk/geoserver/dclg_inspire/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=dclg_inspire%3AEngland_Green_Belt_2019-20_WGS84&outputFormat=GML3,,wfs,2021-10-27T06:06:33Z,,
05167dc5 (Paul Downey 2022-03-09 15:51:04 +0000  3) cbe952dd437d085d8c630d86632924693bac236c4fbad92cfdb623db3313e564,http://maps.communities.gov.uk/geoserver/dclg_inspire/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=dclg_inspire%3AEngland_Green_Belt_2018-19_WGS84&outputFormat=GML3,,wfs,2021-10-27T07:07:14Z,,
05167dc5 (Paul Downey 2022-03-09 15:51:04 +0000  4) 5cf30af559859b8e01088a0765f5864115ff3fe5504508168f1

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.venv

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files from running the listed-buildings-collection build locally

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title
Conservation area datasets

erDiagram
    conservation-area {
        string reference
        string name
        string geometry
 url documentation-url

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#!/usr/bin/env python3

import shapely.wkt

p="MultiPolygon (((-1.60994665622805222 55.00379498345115792, -1.60994600619739314 55.00379491903674278, -1.60994613329638736 55.0037946152858126, -1.60994665622805222 55.00379498345115792)),((-1.60994600619739314 55.00379491903674278, -1.60980778882421394 55.00412523870480186, -1.60972186100530901 55.00432707234649143, -1.60962254155930573 55.00455676609992395, -1.60953000060672702 55.00476385735949236, -1.60943341282917385 55.00498224763406085, -1.60935696567569031 55.00515319174433415, -1.60910274172032675 55.0051207020774342, -1.60860998788058174 55.00506105056158646, -1.60855767448542109 55.00517852794069285, -1.60848120855383003 55.00535097971769716, -1.60843013302326776 55.00547600239842438, -1.60833627909956944 55.00568233437196142, -1.60824905786570738 55.00588114622691904, -1.60818202334823357 55.00602798745143929, -1.60812690700974681 55.00616355492300613, -1.60809945369099605 55.00628789933396945, -1.60804720332470663 55.00639858943617355, -1.60796400348

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echo "==> Google \n$(dig www.planning.data.gov.uk @8.8.8.8 | grep "IN")\n\n"
echo "==> Google (alt) \n$(dig www.planning.data.gov.uk @8.8.4.4 | grep "IN")\n\n"
echo "==> Control D \n$(dig www.planning.data.gov.uk @76.76.2.0 | grep "IN")\n\n"
echo "==> Control D (alt) \n$(dig www.planning.data.gov.uk @76.76.10.0 | grep "IN")\n\n"
echo "==> Quad9 \n$(dig www.planning.data.gov.uk @9.9.9.9 | grep "IN")\n\n"
echo "==> Quad9 (alt) \n$(dig www.planning.data.gov.uk @149.112.112.112 | grep "IN")\n\n"
echo "==> OpenDNS \n$(dig www.planning.data.gov.uk @208.67.222.222 | grep "IN")\n\n"
echo "==> OpenDNS (alt) \n$(dig www.planning.data.gov.uk @208.67.220.220 | grep "IN")\n\n"
echo "==> Cloudflare \n$(dig www.planning.data.gov.uk @1.1.1.1 | grep "IN")\n\n"
echo "==> Cloudflare (alt) \n$(dig www.planning.data.gov.uk @1.0.0.1 | grep "IN")\n\n"

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Some notes and thoughts from our QGIS workshop

• Tony made a QGIS project for Doncaster's data
• The QGIS project file is XML, which looks very easy for us to template / produce
• We could make a QGIS project file for each LPA containing the data sources, alongside our processed data (filtered for the LPA)
• We can organise these sources in the project in different ways, including hierachy
• Tony showed using our tile server as an API which allows seeing the features
• We should consider documenting our support for people using this as an API
• The tile server provides our properties against each shape
• but QGIS splits features when they overlap tile boundaries

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https://github.com/digital-land/digital-land-python/blob/cf8290134c58bfbf751116e94dd1aa43adac30ad/digital_land/datatype/wkt.py#L78

No simplification (7676 bytes)