The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!
From the Wiki University
What evidence can you provide to prove your understanding of each of the following citeria?
Confirm task.
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Client specifications are analysed to determine specific needs and required outcomes. Completed |
Evidence:
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Requirements for spatial data and constraints are identified through further consultation with client or relevant personnel and outcomes are recorded according to organisational guidelines. Completed |
Evidence:
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Obtain spatial and attribute data.
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Sources are determined consistent with specifications using relevant metadata. Completed |
Evidence:
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Data is obtained according to organisational guidelines. Completed |
Evidence:
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Data is checked for integrity and quality. Completed |
Evidence:
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Geographic coverage is assessed for completeness. Completed |
Evidence:
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A metadata set is compiled based on sourced spatial data. Completed |
Evidence:
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Exception reports are referred to relevant personnel. Completed |
Evidence:
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Skills and knowledge are updated to accommodate changes in spatial dataset requirements. Completed |
Evidence:
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OHS requirements are planned for and adhered to. Completed |
Evidence:
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Create resultant spatial dataset.
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Filtering parameters are established in line with scientific accuracy, redundancy, and client and organisational requirements. Completed |
Evidence:
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Spatial and aspatial data is translated into a format which satisfies specifications. Completed |
Evidence:
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Spatial datasets are populated with edited spatial data according to organisational spatial requirements. Completed |
Evidence:
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Spatial and attribute data are linked according to specifications and industry standards. Completed |
Evidence:
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Link spatial and attribute data.
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Method required for referencing the location of the attribute data is identified. Completed |
Evidence:
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Linking of the spatial and attribute data is completed according to the specifications. Completed |
Evidence:
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Spatial queries are carried out via the spatial data to access the attribute data. Completed |
Evidence:
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Test and validate spatial datasets.
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Test queries are determined and implemented to ensure spatial datasets meet specifications. Completed |
Evidence:
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Spatial data is checked to ensure correctness of links. Completed |
Evidence:
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An exception report is developed according to organisational guidelines and reported back to relevant personnel. Completed |
Evidence:
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All relevant documentation is completed according to organisational guidelines. Completed |
Evidence:
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Quality and useability of datasets are ensured according to organisational guidelines. Completed |
Evidence:
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