Aggregate Opportunity Modelling for the Bay of Plenty area of New Zealand: Digital appendix
Efficient utilisation of aggregate resources is critical to supporting infrastructure development and reducing operational and transport costs related to extraction of raw materials. To understand the spatial distribution of future resources, aggregate opportunity in the Bay of Plenty area has been mapped using modelling of geological, land use, infrastructure and cultural digital data to map where future resources could be located so they can be prioritised over less critical land uses to support our growing economy. Aggregate opportunity areas are places that have overlapping spatial data classes favourable for extractive activities. A spatial modelling approach has been used to identify places with opportunity for future hard rock, gravel and sand extraction. The resulting maps and their GIS based equivalent datasets of gravel and hard rock aggregate opportunity can be used to manage aggregate resources, generate targets for exploration activities and provide insight into future resources.
Appendix to GNS Science report 2024/10 consisting of 27 PDF maps and GIS data files. (DOI: https://doi.org/10.21420/W34K-RR18?x=y )
DOI:
https://doi.org/10.21420/hnhw-v111?x=y
Cite as:
Hill, MP & Chilton, MO. 2024. Aggregate opportunity modelling for the Bay of Plenty area of New Zealand [digital appendix]. Lower Hutt (NZ): GNS Science. https://doi.org/10.21420/hnhw-v111?x=y
See the distribution tab below to download digital appendix data as ZIP file from AWS.
Simple
- Date (Creation)
- 2024-05-17
- Status
- On going
- Point of contact
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Organisation name Individual name Electronic mail address Role GNS Science
Custodian
- Maintenance and update frequency
- As needed
- Keywords
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aggregate
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aggregate opportunity concept
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spatial modelling
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fuzzy logic
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hard rock
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gravel
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sand
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resource planning
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Bay of Plenty Region
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- Classification
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- Language
- English
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- Geoscientific information
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- 2016-05-01
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- 2024-05-17
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Name Version JSON
1
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https://gns-downloads.s3.us-west-2.amazonaws.com/SR2024-10_DigitalAppendix.zip
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Dataset
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ISO 19115:2003/19139
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1.0
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Organisation name Individual name Electronic mail address Role GNS Science
Point of contact