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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Prepare to integrate datasets.
   • Client specifications are identified and analysed to determine specific needs and required outcomes.
   • Requirements for spatial data and constraints are identified through further consultation with appropriate persons and outcomes are recorded according to organisational requirements.
2. Obtain spatial and attribute data.
   • Metadata is used to determine sources of data consistent with project specifications.
   • Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.
   • Geographic coverage is assessed for completeness according to project specifications.
   • Metadata set is compiled based on sourced spatial data.
   • Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.
3. Create resultant spatial datasets.
   • Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.
   • Spatial data is translated into a format that satisfies project specifications.
   • Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.
4. Link spatial and attribute data.
   • Method required for referencing location of attribute data is identified according to organisational requirements.
   • Spatial and attribute data are linked according to client specifications and organisational requirements.
   • Spatial queries are carried out on spatial data to access attribute data according to project specifications.
5. Test and validate spatial datasets.
   • Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.
   • Accuracy and integrity of spatial data are checked and validated to ensure correctness of links, and identified problems are resolved or escalated where required according to organisational requirements.
   • Documentation is completed according to organisational requirements and appropriate persons are notified of project results.

Range Statement

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.
Appropriate persons must include at least two of the following:	client end user staff manager.
Metadata must include at least four of the following:	availability conditions of use coordinate system currency custodian data accuracy data description date of acquisition licence quality source spatial data acquisition methodologies version control.

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Performance Evidence

A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also integrate spatial datasets for the purpose of providing spatially referenced information for two different projects.

While integrating the above spatial datasets, the person must:

select and use industry-accepted software applications to obtain spatial data, create datasets, and link attribute data

comply with organisational requirements while:

communicating with clients and other appropriate persons

ensuring quality of datasets

recording data and completing documentation

working safely when using screen-based equipment

comply with legal requirements relating to data privacy and information copyright when accessing and using spatial data

devise and implement functional solutions to spatial datasets

exercise precision when editing, processing, comparing, manipulating and archiving spatial data

perform querying techniques to access attribute data and test and validate spatial data

prepare exception reports to identify non-conforming data

reference and link the location of attribute data

translate spatial data into industry-accepted formats

use approved methods for assessing accuracy and integrity of spatial data and resolving errors

use filtering parameters, including attribute range accuracy and geographic location to establish accuracy and redundancy of data.

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Knowledge Evidence

A person demonstrating competency in this unit must demonstrate knowledge of:

data acquisition methods

database querying techniques and languages

key features of spatial data

legal requirements for accessing and manipulating spatial data, including copyright

methods for comparing and checking different spatial datasets

organisational requirements relating to:

work health and safety

recording data

completing documentation

principles of data acquisition, including photogrammetry, remote sensing, terrestrial survey and hydrography

quality guidelines regarding the validity of spatial data

software applications used to compute spatial datasets

key features of spatial coordinate and reference systems

spatial data formats and structures

spatial database design tools

key characteristics of spatial database operation

spatial dataset integration methods, including role of scale in dataset integration.

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