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

The 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...

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Autores principales:	Boglárka Németh, Károly Németh, Jon N. Procter
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geoconservation geoeducation landform classification topographic position index crowdsourcing FlickR Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/57faf172e78f4fa386a8ce99b8cb362f
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spelling	oai:doaj.org-article:57faf172e78f4fa386a8ce99b8cb362f2021-11-25T17:43:21ZVisitation 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 Zealand10.3390/geosciences111104802076-3263https://doaj.org/article/57faf172e78f4fa386a8ce99b8cb362f2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3263/11/11/480https://doaj.org/toc/2076-3263The 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.Boglárka NémethKároly NémethJon N. ProcterMDPI AGarticlegeoconservationgeoeducationlandform classificationtopographic position indexcrowdsourcingFlickRGeologyQE1-996.5ENGeosciences, Vol 11, Iss 480, p 480 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geoconservation geoeducation landform classification topographic position index crowdsourcing FlickR Geology QE1-996.5
spellingShingle	geoconservation geoeducation landform classification topographic position index crowdsourcing FlickR Geology QE1-996.5 Boglárka Németh Károly Németh Jon N. Procter 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
description	The 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.
format	article
author	Boglárka Németh Károly Németh Jon N. Procter
author_facet	Boglárka Németh Károly Németh Jon N. Procter
author_sort	Boglárka Németh
title	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
title_short	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
title_full	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
title_fullStr	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
title_full_unstemmed	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
title_sort	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
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/57faf172e78f4fa386a8ce99b8cb362f
work_keys_str_mv	AT boglarkanemeth visitationrateanalysisofgeoheritagefeaturesfromearthscienceeducationperspectiveusingautomatedlandformclassificationandcrowdsourcingageoeducationcapacitymapoftheaucklandvolcanicfieldnewzealand AT karolynemeth visitationrateanalysisofgeoheritagefeaturesfromearthscienceeducationperspectiveusingautomatedlandformclassificationandcrowdsourcingageoeducationcapacitymapoftheaucklandvolcanicfieldnewzealand AT jonnprocter visitationrateanalysisofgeoheritagefeaturesfromearthscienceeducationperspectiveusingautomatedlandformclassificationandcrowdsourcingageoeducationcapacitymapoftheaucklandvolcanicfieldnewzealand
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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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