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The intent was to avoid bias in the representation of habitats associated with differences in the extent and detail of surveys in different regions. The disadvantage of this approach, however, is that the more detailed surveys available or underway in some regions (Neale et al. 2007, WCMPF 2010, Benn 2009; Kettles & Hughes 2009; Kerr 2010, Morrison et al. 2010) are not included in this broad scale analysis. These surveys should be included in more detailed regional assessments. \n\nThe extent of habitat mapping was mainly defined by the Land Information New Zealand (LINZ) coastline, the LINZ boundary (2004) to the New Zealand Territorial Sea (within 12 nautical miles of the coast and islands), estuaries from the National Institute for Water and Atmospheric Research (NIWA) New Zealand Estuary Environment Classification (Hume 2007) and bioregions defined in the Marine Protected Areas Policy and Implementation Plan (Department of Conservation and Ministry of Fisheries 2005).\n\nWithin these bioregions, spatial data layers for depth, substrata and exposure were overlaid in ArcGIS to approximate the habitat categories described in the Coastal Classification and Mapping Scheme (Appendix 1, Ministry of Fisheries and Department of Conservation 2008). In some cases, categories were modified according to what data were available and to provide consistent, justifiable, readily interpreted habitat descriptions that adequately reflect major patterns in marine environments. The data sources and habitat categories that were used are described in the report: \n\nDepartment of Conservation and Ministry of Fisheries(2012).\"Coastal marine habitats and marine protected areas in the New Zealand Territorial Sea: a broad scale gap analysis. Wellington, New Zealand. \n\nMore detailed descriptions of source data within the New Zealand Territorial Sea are described in separate coverages for NZ marine bioregions; NZ depth, NZ substrata and NZ exposure. The GIS datasets were combined using the unioncommand in ArcGIS and ArcINFO 9.3. This command overlays and dissects the intersections between overlapping areas from different datasets. The function creates polygon features attributed with fields of variables from each of the source data sets. These fields were used to create composite categories derived from combinations of the different levels in the depth, substrata and exposure fields. The ArcGIS \u2018eliminate\u2019 command was used to minimise the large numbers of elongate \u2018sliver polygons\u2019 resulting from overlaying disparate datasets. Slivers less than 1 hectare in area were dissolved into the adjacent polygon with the longest joint boundary.\n\nBecause of the number of small slivers and extent of the data set, boundaries between habitats classes were sometimes generalised resulting in small departures (usually <50m) from the lines of the original habitat data including the coastline. Regard should then be given to the fitness for use of this data for use other than its intended purpose as a broad scale classification and gaps analysis. This should be taken into account particularly for viewing and analysis at fine spatial scales.\n\nIn some cases, the source datasets did not completely overlap and for some areas a full classification using all environmental drivers was not possible. In most cases the area involved was small and polygons were merged with the nearest feature with the longest joint boundary. For parts of some estuaries, no nationally consistent data on substrata were available. These areas were mapped simply as unclassified estuary. This category was not however included within habitat counts for each bioregion.", "Subject": "These data were developed for an analysis of the extent to which coastal habitats in the New Zealand Territorial Sea are currently (2010) represented in areas that meet the New Zealand Marine Protected Area Protection Standard. 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