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Service Description: 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 regions of New Zealand 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.
Map Name: NZL_CriticalMinerals_AOM
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Description: 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 regions of New Zealand 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.
Copyright Text: GNS ScienceAggregate Opportunity Modelling for the Wellington Region of New Zealand. 2024/09. ISBN: 978-0-947510-91-6 DOI: 10.21420/JW09-RF66Aggregate Opportunity Modelling for the Bay of Plenty Region of New Zealand. 2024/10. ISBN: 978-1-98-850055-3 DOI: 10.21420/W34K-RR18Aggregate Opportunity Modelling for the northern Auckland area of New Zealand. 2024/1.1 ISBN: 978-0-908349-98-2 DOI: 10.21420/DS28-ZG73Aggregate Opportunity Modelling for the southern Auckland area of New Zealand. 2024/12. ISBN: 978-0-947510-80-0 DOI: 10.21420/J47S-NN09Aggregate Opportunity Modelling for the Otago Region of New Zealand. 2024/13. ISBN: 978-0-947510-11-4 DOI: 10.21420/RFGE-SQ76
Spatial Reference:
2193
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Document Info:
Title: Critical Minerals: Aggregate
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 </SPAN><SPAN>r</SPAN><SPAN>egion</SPAN><SPAN>s of New Zealand</SPAN><SPAN> 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.</SPAN></P></DIV></DIV></DIV>
Subject: Map showing modelled occurrence of aggregate.
Category:
Keywords: Critical minerals,geology,aggregates,AOM
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