Comments (1)
For some more background, here are a few links from our demo/test server:
This is how the geometadata is shown for an issue of a journal: https://service.tib.eu/optimeta/index.php/optimeta/issue/view/5
For the harvesting, the article landing pages are more interesting:
- https://service.tib.eu/optimeta/index.php/optimeta/article/view/47
- https://service.tib.eu/optimeta/index.php/optimeta/article/view/51
- https://service.tib.eu/optimeta/index.php/optimeta/article/view/8
This is an excerpt of the HTML source code of the last one, more specifically the header:
<!DOCTYPE html>
<html lang="de-DE" xml:lang="de-DE">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>
Using textual volunteered geographic information to model nature-based activities: A case study from Aotearoa New Zealand
| OPTIMETA
</title>
<meta name="generator" content="Open Journal Systems 3.3.0.14">
<meta name="gs_meta_revision" content="1.1"/>
<meta name="citation_journal_title" content="OPTIMETA"/>
<meta name="citation_journal_abbrev" content="OPTIMETA"/>
<meta name="citation_author" content="Optimeta Admin"/>
<meta name="citation_author" content="Ekaterina Egorova"/>
<meta name="citation_title" content="Using textual volunteered geographic information to model nature-based activities: A case study from Aotearoa New Zealand"/>
<meta name="citation_language" content="de"/>
<meta name="citation_date" content="2022/07/21"/>
<meta name="citation_volume" content="6"/>
<meta name="citation_issue" content="1"/>
<meta name="citation_doi" content="10.82270/optimeta.v6i1.8"/>
<meta name="citation_abstract_html_url" content="https://service.tib.eu/optimeta/index.php/optimeta/article/view/8"/>
<meta name="citation_keywords" xml:lang="de" content="nature-based recreation"/>
<meta name="citation_keywords" xml:lang="de" content="cultural ecosystem services"/>
<meta name="citation_keywords" xml:lang="de" content="volunteered geographic information"/>
<meta name="citation_keywords" xml:lang="de" content="social media"/>
<meta name="citation_keywords" xml:lang="de" content="digital geography"/>
<meta name="citation_reference" content="Björk BC, Shen C, Laakso M (2016) A longitudinal study of independent scholar-published open access journals. PeerJ 4 https://doi.org/10.7717/peerj.1990"/>
<meta name="citation_reference" content="Brown J (2019) Crossref grant IDs: a global, open database of funding information and identifiers. Autumn 2019 euroCRIS Strategic Membership Meeting. Strategic Membership Meeting 2019 – Autumn, Münster, Nov 18-20, 2019. euroCRIS, 33 pp. URL: http://hdl.handle.net/11366/1249"/>
<meta name="citation_reference" content="Conlon M, et al. (2019) VIVO: a system for research discovery. The Journal of Open Source Software 4 (39). https://doi.org/10.21105/joss.01182"/>
<meta name="citation_reference" content="Fenner M, Aryani A (2019) Introducing the PID Graph. (Version 1.0). https://doi.org/10.5438/JWVF-8A66"/>
<meta name="citation_reference" content="Gil Y, David CH, Demir I, et al. (2016) Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science 3 (1): 388-415. https://doi.org/10.1002/2015EA000136"/>
<link rel="schema.DC" href="[http://purl.org/dc/elements/1.1/](view-source:http://purl.org/dc/elements/1.1/)" />
<meta name="DC.Coverage" xml:lang="de" content="[{"name":"Earth","geonameId":6295630,"bbox":"not available","administrativeUnitSuborder":["Earth"],"provenance":{"description":"administrative unit created by user (acceppting the suggestion of the geonames API , which was created on basis of a geometric shape input)","id":23}}]"/>
<meta name="DC.Creator.PersonalName" content="Ekaterina Egorova"/>
<meta name="DC.Date.created" scheme="ISO8601" content="2022-07-21"/>
<meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2022-05-18"/>
<meta name="DC.Date.issued" scheme="ISO8601" content="2022-07-08"/>
<meta name="DC.Date.modified" scheme="ISO8601" content="2022-07-21"/>
<meta name="DC.Description" xml:lang="de" content="A boom in volunteered geographic information has led to extensive data-driven exploration and modeling of places. While many studies have used such data to explore human-environment interaction in urban settings, few have investigated natural, non-urban settings. To address this gap, this study systematically explores the content of online reviews of nature-based recreation activities, and develops a fine-grained hierarchical model that includes 28 aspects grouped into three main domains: activity, settings, and emotions/cognition. It further demonstrates how the model can be used to explore the variation in recreation experiences across activities, setting the stage for the analysis of the spatio-temporal variations in recreation experiences in the future. Importantly, the study provides an annotated corpus that can be used as a training dataset for developing methods to automatically capture aspects of recreation experiences in texts."/>
<meta name="DC.Identifier" content="8"/>
<meta name="DC.Identifier.DOI" content="10.82270/optimeta.v6i1.8"/>
<meta name="DC.Identifier.URI" content="https://service.tib.eu/optimeta/index.php/optimeta/article/view/8"/>
<meta name="DC.Language" scheme="ISO639-1" content="de"/>
<meta name="DC.Rights" content="Copyright (c) 2022 OPTIMETA"/>
<meta name="DC.Rights" content=""/>
<meta name="DC.Source" content="OPTIMETA"/>
<meta name="DC.Source.Issue" content="1"/>
<meta name="DC.Source.Volume" content="6"/>
<meta name="DC.Source.URI" content="https://service.tib.eu/optimeta/index.php/optimeta"/>
<meta name="DC.Subject" xml:lang="de" content="nature-based recreation"/>
<meta name="DC.Subject" xml:lang="de" content="cultural ecosystem services"/>
<meta name="DC.Subject" xml:lang="de" content="volunteered geographic information"/>
<meta name="DC.Subject" xml:lang="de" content="social media"/>
<meta name="DC.Subject" xml:lang="de" content="digital geography"/>
<meta name="DC.Title" content="Using textual volunteered geographic information to model nature-based activities: A case study from Aotearoa New Zealand"/>
<meta name="DC.Type" content="Text.Serial.Journal"/>
<meta name="DC.Type.articleType" content="Artikel"/>
<link rel="schema.DC" href="[http://purl.org/dc/elements/1.1/](view-source:http://purl.org/dc/elements/1.1/)" />
<meta name="DC.SpatialCoverage" scheme="GeoJSON" content="{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"provenance":{"description":"geometric shape created by user (drawing)","id":11}},"geometry":{"type":"Polygon","coordinates":[[[172.32421919703486,-33.48032820798308],[171.44531294703486,-34.21028940511315],[173.73046919703486,-37.41671041179496],[173.29101607203484,-38.593977484432955],[172.85156294703484,-39.68464569666023],[170.39062544703484,-42.076481829833355],[165.64453169703486,-45.43957916133509],[165.64453169703486,-46.84015585733286],[166.08398482203484,-47.970311874725496],[166.96289107203486,-48.72962563238336],[168.28125044703484,-47.970311874725496],[170.47851607203484,-46.71978059098357],[172.23632857203486,-45.13038945024757],[172.67578169703486,-44.12965788602876],[174.34570357203484,-43.6864130605097],[175.31250044703484,-42.271890692692985],[176.80664107203484,-41.618181466359324],[178.12500044703484,-40.75835499236763],[178.91601607203486,-39.0732236224912],[179.26757857203484,-37.34687186193451],[178.82812544703486,-36.22064301814946],[177.50976607203486,-36.78582645869149],[175.57617232203484,-35.57989644550358],[174.08203169703484,-34.06479660536844],[171.35742232203486,-34.06479660536844],[172.32421919703486,-33.48032820798308]]]}}],"administrativeUnits":[{"name":"Earth","geonameId":6295630,"bbox":"not available","administrativeUnitSuborder":["Earth"],"provenance":{"description":"administrative unit created by user (acceppting the suggestion of the geonames API , which was created on basis of a geometric shape input)","id":23}}],"temporalProperties":{"unixDateRange":"[1167609600000,1599523199000]","provenance":{"description":"temporal properties created by user","id":31}}}" />
<link rel="stylesheet" href="[https://service.tib.eu/optimeta/index.php/optimeta/$$$call$$$/page/page/css?name=stylesheet](view-source:https://service.tib.eu/optimeta/index.php/optimeta/$$$call$$$/page/page/css?name=stylesheet)" type="text/css" /><link rel="stylesheet" href="[https://service.tib.eu/optimeta/index.php/optimeta/$$$call$$$/page/page/css?name=font](view-source:https://service.tib.eu/optimeta/index.php/optimeta/$$$call$$$/page/page/css?name=font)" type="text/css" /><link rel="stylesheet" href="[https://service.tib.eu/optimeta/lib/pkp/styles/fontawesome/fontawesome.css?v=3.3.0.14](view-source:https://service.tib.eu/optimeta/lib/pkp/styles/fontawesome/fontawesome.css?v=3.3.0.14)" type="text/css" /><link rel="stylesheet" href="[https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/leaflet/dist/leaflet.css?v=3.3.0.14](view-source:https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/leaflet/dist/leaflet.css?v=3.3.0.14)" type="text/css" /><link rel="stylesheet" href="[https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/leaflet-draw/dist/leaflet.draw.css?v=3.3.0.14](view-source:https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/leaflet-draw/dist/leaflet.draw.css?v=3.3.0.14)" type="text/css" /><link rel="stylesheet" href="[https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/daterangepicker/daterangepicker.css?v=3.3.0.14](view-source:https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/daterangepicker/daterangepicker.css?v=3.3.0.14)" type="text/css" /><link rel="stylesheet" href="[https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/leaflet-control-geocoder/dist/Control.Geocoder.css?v=3.3.0.14](view-source:https://service.tib.eu/optimeta/plugins/generic/optimetaGeo/js/lib/leaflet-control-geocoder/dist/Control.Geocoder.css?v=3.3.0.14)" type="text/css" />
</head>
<body class="pkp_page_article pkp_op_view has_site_logo" dir="ltr">
<div class="pkp_structure_page">
[...]
The the geospatial and temporal information is included in various formats. The most detailed one is encoded as GeoJSON in the field DC.SpatialCoverage
. The content is a bit garbled because it is encoded. If I pass that into https://codebeautify.org/html-decode-string and then copy and paste the output to http://geojson.io/ I can explore the data a little bit.
With a (optional) dependency on geojsonsf
, this string can be converted to a meaningful R object (see https://cran.r-project.org/web/packages/geojsonsf/vignettes/geojson-sf-conversions.html) and then plotted for inspection/analysis (https://cran.r-project.org/web/packages/sf/vignettes/sf5.html).
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