Eine Geocaching-Datenanalyse als offene Lerneinheit für Studierende, Berufstätige und Laien / A Geocaching Data Analysis as an Open Learning Unit for Students, Professionals and Laypersons
{"title":"Eine Geocaching-Datenanalyse als offene Lerneinheit für Studierende, Berufstätige und Laien / A Geocaching Data Analysis as an Open Learning Unit for Students, Professionals and Laypersons","authors":"M. Hinz, Ralf Bill","doi":"10.14627/537698006","DOIUrl":null,"url":null,"abstract":"OpenCaching.de is the second-largest geocaching platform in Central Europe. With over 26,000 active geocaches, whose metadata can be read out by an open web API, it is also ideally suited for a teaching example of dealing with user-generated geodata. Based on that motivation, this contribution describes a large-scale analysis of geocaching data that can be followed by advanced learners in GIS and data science, but also by interested laypersons. Open Educational Resources for this are available on the OpenGeoEdu learning platform. The results of the analysis show how geocaching activities are distributed in the D-A-CH-LI-area and how the leisure sport relates to demographic and environmental factors.","PeriodicalId":36308,"journal":{"name":"AGIT- Journal fur Angewandte Geoinformatik","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AGIT- Journal fur Angewandte Geoinformatik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14627/537698006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
OpenCaching.de is the second-largest geocaching platform in Central Europe. With over 26,000 active geocaches, whose metadata can be read out by an open web API, it is also ideally suited for a teaching example of dealing with user-generated geodata. Based on that motivation, this contribution describes a large-scale analysis of geocaching data that can be followed by advanced learners in GIS and data science, but also by interested laypersons. Open Educational Resources for this are available on the OpenGeoEdu learning platform. The results of the analysis show how geocaching activities are distributed in the D-A-CH-LI-area and how the leisure sport relates to demographic and environmental factors.
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