Visitation Rate Analysis of Geoheritage Features from Earth Science Education Perspective Using Automated Landform Classification and Crowdsourcing: A Geoeducation Capacity Map of the Auckland Volcanic Field, New Zealand

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dc.citation.issue11
dc.citation.volume11
dc.contributor.authorNémeth B
dc.contributor.authorNémeth K
dc.contributor.authorProcter JN
dc.contributor.editorJordá Pardo JF
dc.date.accessioned2024-04-17T20:49:22Z
dc.date.accessioned2024-07-25T06:50:13Z
dc.date.available2021-11-22
dc.date.available2024-04-17T20:49:22Z
dc.date.available2024-07-25T06:50:13Z
dc.date.issued2021-11-22
dc.description.abstractThe increase in geoheritage studies has secured recognition globally regarding the importance of abiotic natural features. Prominent in geoheritage screening practices follows a multicriteria assessment framework; however, the complexity of interest in values often causes decision making to overlook geoeducation, one of the primary facets of geosystem services. Auckland volcanic field in New Zealand stretches through the whole area of metropolitan Auckland, which helps preserve volcanic cones and their cultural heritage around its central business district (CBD). They are important sites for developing tourist activities. Geoeducation is becoming a significant factor for tourists and others visiting geomorphological features, but it cannot be achieved without sound planning. This paper investigates the use of big data (FlickR), Geopreservation Inventory, and Geographic Information System for identifying geoeducation capacity of tourist attractions. Through landform classification using the Topographic Position Index and integrated with geological and the inventory data, the underpromoted important geoeducation sites can be mapped and added to the spatial database Auckland Council uses for urban planning. The use of the Geoeducation Capacity Map can help resolve conflicts between the multiple objectives that a bicultural, metropolitan city council need to tackle in the planning of upgrading open spaces while battling of growing demand for land.
dc.description.confidentialfalse
dc.edition.editionNovember 2021
dc.identifier.citationNémeth B, Németh K, Procter JN. (2021). Visitation rate analysis of geoheritage features from earth science education perspective using automated landform classification and crowdsourcing: A geoeducation capacity map of the auckland volcanic field, New Zealand. Geosciences (Switzerland). 11. 11.
dc.identifier.doi10.3390/geosciences11110480
dc.identifier.eissn2076-3263
dc.identifier.elements-typejournal-article
dc.identifier.number480
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70979
dc.languageEnglish
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/2076-3263/11/11/480
dc.relation.isPartOfGeosciences (Switzerland)
dc.rights(c) 2021 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectgeoconservation
dc.subjectgeoeducation
dc.subjectlandform classification
dc.subjecttopographic position index
dc.subjectcrowdsourcing
dc.subjectFlickR
dc.subjectGIS
dc.subjecturban planning
dc.titleVisitation Rate Analysis of Geoheritage Features from Earth Science Education Perspective Using Automated Landform Classification and Crowdsourcing: A Geoeducation Capacity Map of the Auckland Volcanic Field, New Zealand
dc.typeJournal article
pubs.elements-id450017
pubs.organisational-groupCollege of Health
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