Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to LRIS Portal on 15 Jul 2015
Pivot table showing changes in LCDB cover classes between 2008 and 2012
Document ID | 9466 |
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File name | lcdb-v41-cover-class-change-summary-2008-2012.xlsx |
Type | XLSX |
Size | 236 KB |
Document ID | 9231 |
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File name | fsl-gravel-content-arcgis-layer-file.lyr |
Type | LYR |
Size | 14.3 KB |
Document ID | 9270 |
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File name | crosby-1998-area-codes-for-recording-specimen-localities-in-the-new-zealand-subregion.pdf |
Type | |
Size | 613 KB |
Document ID | 9257 |
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File name | soils-of-the-kaingaroa-plateau-arcgis-layer-file.lyr |
Type | LYR |
Size | 14.3 KB |
This item was first added to LRIS Portal on 23 Mar 2015
A contract report to Canterbury Regional Council and Christchurch City Council outlining land resources of Christchurch City to aid future planning of urban expansion.
Document ID | 9440 |
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File name | land-resources-evaluation-of-christchurch-city.pdf |
Type | |
Size | 1.19 MB |
Document ID | 9199 |
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File name | soil-map-of-hamilton-city-sb-map-145.pdf |
Type | |
Size | 6.19 MB |
Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to LRIS Portal on 06 Jul 2015
Table explaining correlation between LCDB classes between versions.
Document ID | 9464 |
---|---|
File name | lcdb-class-correlations.pdf |
Type | |
Size | 221 KB |
Copy of paper describing how New Zealand coverage of Landform Elements was created
Document ID | 9367 |
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File name | landform-elements-barringer-et-al-2007.pdf |
Type | |
Size | 498 KB |
This item was first added to LRIS Portal on 21 Jun 2013
An unpublished report by FG Beecroft (1988) containing soil taxonomic unit descriptions to describe soils mapped in the Bannockburn area - to accompany map SB222.
Document ID | 9376 |
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File name | bannockburn-soil-taxonomic-unit-descriptions.pdf |
Type | |
Size | 13.6 MB |
Conference paper describing how South Island mean monthly soil temperature surfaces were created using standard geostatistical techniques. These methods help to account for the majority of topographic variability at high spatial resolutions where topographic influences dominate spatial patterns of climate. By using purposefully sampled data we gained useful knowledge about topographic variation in soil temperature, but the data were not well suited to some interpolation methods. Partial thin plate splines produced the most accurate long-term mean monthly and specific month/year soil temperature surfaces, but multiple linear regression also provided a simple and robust method for soil temperature interpolation because the data were not strongly spatially dependent.
Document ID | 9366 |
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File name | gis-em4-barringer-lilburne-2000.pdf |
Type | |
Size | 295 KB |