panoramble

Data sources

Built on other people’s great work

Maps, weather, rain radar, tides, drive times and the heights behind skylines come from these services and data. Each is credited here as it asks. A wood’s survey, a landmark photo’s author and heritage records are credited on their own cards, next to what they describe.

  • MapTiler

    The maps and place search.

    © MapTiler © OpenStreetMap contributors

  • OpenStreetMap

    Car parks, toilets, cafés and landmarks on the map, the roads drive times follow, the paths walks follow, and where the coast is, for the tides and for cloud inversions (its sea, from Overture Maps’ copy).

    © OpenStreetMap contributors

    Licence: ODbL

  • Open-Meteo

    Weather forecasts, cloud cover included, for each place, and its earlier forecasts, to check our dawn fog and cloud inversions against what really happened.

    Weather by Open-Meteo

    Licence: CC BY 4.0

  • Rainbow.ai

    Rain radar and the cloud layer on the map.

    Powered by Rainbow.ai

  • FES2022 (AVISO)

    Tides. We work out every coastal place’s highs, lows and heights ourselves from this worldwide tide model.

    FES2022 Tide, made by LEGOS, NOVELTIS and CLS, owned by CNES, distributed by AVISO (DOI 10.24400/527896/a01-2024.004). Our tides are worked out from it and changed from it; CNES and AVISO do not endorse this app.

    Licence: AVISO License

  • TICON-4

    To check our tides against tide gauges around the world, and warn where they disagree. No gauge’s numbers are shown.

    TICON-4 tide gauge constants (SEANOE)

    Licence: CC BY 4.0

  • Japan Meteorological Agency

    To check our tides in Japan against its tide tables, and warn where they disagree. None of its numbers are shown.

    出典：気象庁ホームページ (https://ds.data.jma.go.jp/gmd/kaiyou/db/tide/suisan/), used to check our own tides

  • Met Office (MIDAS Open)

    To check our dawn fog and cloud inversions against what the Met Office’s weather stations really saw, dawn by dawn. None of its numbers are shown.

    Met Office (2026): MIDAS Open: UK hourly weather observation data, v202607. NERC EDS Centre for Environmental Data Analysis, 23 July 2026. doi:10.5285/d04207b551674c07801b7d4e6d883e50. Met Office (2026): MIDAS Open: UK daily temperature data, v202607. NERC EDS Centre for Environmental Data Analysis, 23 July 2026. doi:10.5285/1854bb17ec454841b04e243a1352f25a.

    Licence: Open Government Licence v3.0

  • Iowa Environmental Mesonet

    To check our dawn fog and cloud inversions against what airports reported, hour by hour, in its archive of their weather reports: in the UK, and by the sea on Norway’s fjords. None of its numbers are shown.

    Iowa Environmental Mesonet of Iowa State University

The heights behind skylines

A stop’s skyline is worked out from the height of the ground all around it. Where a country’s government has measured its ground from the air, with trees and buildings taken out, those national survey heights are used: Great Britain’s and Japan’s. Everywhere else, worldwide heights fill in, 30 m apart and bare ground too, but rougher. A suggested walk’s climb is read from the same heights, along its paths.

  • Mapterhorn

    The national survey heights behind skylines and walks’ climbs, gathered into one set from the surveys below.

    © Mapterhorn

  • Environment Agency

    England’s heights: its LIDAR Composite DTM, 1 m.

    © Environment Agency copyright and/or database right 2022. All rights reserved.

    Licence: Open Government Licence v3.0

  • Scottish Government

    Scotland’s heights where its survey reaches: LiDAR for Scotland Phase 1, DTM.

    Crown copyright Scottish Government, SEPA and Scottish Water (2012).

    Licence: Open Government Licence v3.0

  • Welsh Government and NRW

    Wales’s heights: the Wales DTM, 1 m.

    Contains public sector information licensed under the Open Government Licence v3.0.

    Licence: Open Government Licence v3.0

  • 国土地理院 (Geospatial Information Authority of Japan)

    Japan’s heights: its national digital elevation model (基盤地図情報 数値標高モデル), 1 to 10 m.

    出典：国土地理院 基盤地図情報（数値標高モデル）を加工して作成　測量法に基づく国土地理院長承認（使用）R 8JHs 131

  • GEDTM30

    Heights everywhere no national survey reaches: Ireland, Northern Ireland, the islands, and Scotland beyond its survey.

    Ho, Yufeng and Hengl, Tomislav: Global Ensemble Digital Terrain Model 30m (GEDTM30), v1.2, Zenodo, doi:10.5281/zenodo.18887460. Changed: read at the stop’s map resolution and joined to the national surveys.

    Licence: CC BY 4.0