JSON RDF ISO19115-3 XML

Cartographic masks for water level trend map products GAL213

Created 06/12/2018

Updated 20/11/2019

JSON RDF ISO19115-3 XML

Abstract

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.

Cartographic masks for map products GAL group 2 products, used for clear annotation and masking unwanted features from report maps.

Dataset History

A shapefile was created for the use of masking data to highlight text.

Method:

* A new polygon shapefile was created with no content

* The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text.

* ArcMAP's Advanced Drawing Option was then used to mask data behind text.

Dataset Citation

Bioregional Assessment Programme (2015) Cartographic masks for water level trend map products GAL213. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/c714da92-0434-423d-85d0-f48242825fb9.

Files and APIs

Tags

Additional Info

Field Value
Title Cartographic masks for water level trend map products GAL213
Language eng
Licence Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (Bioregional Assessment Programme http://www.bioregionalassessments.gov.au)
Landing Page https://devweb.dga.links.com.au/data/dataset/9ddc36f6-548f-4243-b1af-6c467b4d675e
Contact Point
Bioregional Assessment Program
bioregionalassessments@environment.gov.au
Reference Period -
Geospatial Coverage POLYGON ((0 0, 0 0, 0 0, 0 0))
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Cartographic masks for water level trend map products GAL213". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/c714da92-0434-423d-85d0-f48242825fb9

Original dataset
Dataset copies

No duplicate datasets found.