2017 TIGER/Line® Shapefiles: Water

2017 TIGER/Line® Shapefiles: Roads

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

Linear Water Features includes single-line drainage water features and artificial path features that run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an "H" to indicate the super class of Hydrographic Features.

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.

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 Wellington Region 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 2024/09 consisting of 29 PDF maps and GIS data files. (DOI: https://doi.org/10.21420/JW09-RF66?x=y)

DOI: https://doi.org/10.21420/7hym-j851?x=y

Cite as: Hill, MP & Chilton, MO. 2024. Aggregate opportunity modelling for the Wellington Region of New Zealand [digital appendix]. Lower Hutt (NZ): GNS Science. https://doi.org/10.21420/7hym-j851?x=y

See the distribution tab below to download digital appendix data as ZIP file from AWS.

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 northern Auckland 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 2024/11 consisting of 27 PDF maps and GIS data files. (DOI: https://doi.org/10.21420/DS28-ZG73)

DOI: https://doi.org/10.21420/1zkf-sh56

Cite as: Hill, MP & Chilton, MO. 2024. Aggregate opportunity modelling for the northern Auckland area of New Zealand [digital appendix]. Lower Hutt (NZ): GNS Science. https://doi.org/10.21420/1zkf-sh56

See the distribution tab below to download digital appendix data as ZIP file from AWS.