Integrate spatial datasets

Formats and tools

Unit Description
Reconstruct the unit from the xml and display it as an HTML page.
Assessment Tool
an assessor resource that builds a framework for writing an assessment tool
Assessment Template
generate a spreadsheet for marking this unit in a classroom environment. Put student names in the top row and check them off as they demonstrate competenece for each of the unit's elements and performance criteria.
Assessment Matrix
a slightly different format than the assessment template. A spreadsheet with unit names, elements and performance criteria in separate columns. Put assessment names in column headings to track which performance criteria each one covers. Good for ensuring that you've covered every one of the performance criteria with your assessment instrument (all assessement tools together).
Wiki Markup
mark up the unit in a wiki markup codes, ready to copy and paste into a wiki page. The output will work in most wikis but is designed to work particularly well as a Wikiversity learning project.
Evidence Guide
create an evidence guide for workplace assessment and RPL applicants
Competency Mapping Template
Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners. A template for developing assessments for a unit, which will help you to create valid, fair and reliable assessments for the unit, ready to give to trainers and students
Observation Checklist
create an observation checklist for workplace assessment and RPL applicants. This is similar to the evidence guide above, but a little shorter and friendlier on your printer. You will also need to create a seperate Assessor Marking Guide for guidelines on gathering evidence and a list of key points for each activity observed using the unit's range statement, required skills and evidence required (see the unit's html page for details)

Self Assessment Survey
A form for students to assess thier current skill levels against each of the unit's performance criteria. Cut and paste into a web document or print and distribute in hard copy.
Moodle Outcomes
Create a csv file of the unit's performance criteria to import into a moodle course as outcomes, ready to associate with each of your assignments. Here's a quick 'how to' for importing these into moodle 2.x
Registered Training Organisations
Trying to find someone to train or assess you? This link lists all the RTOs that are currently registered to deliver CPPSIS5036, 'Integrate spatial datasets'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Books
Reference books for 'Integrate spatial datasets' on fishpond.com.au. This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to ntisthis.com for every purchase, so go nuts :)


Elements and Performance Criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions.

1.

Prepare to integrate datasets.

1.1.

Client specifications are identified and analysed to determine specific needs and required outcomes.

1.2.

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.

2.1.

Metadata is used to determine sources of data consistent with project specifications.

2.2.

Data is obtained and checked for integrity and quality according to project specifications and organisational requirements.

2.3.

Geographic coverage is assessed for completeness according to project specifications.

2.4.

Metadata set is compiled based on sourced spatial data.

2.5.

Exception reports on non-conforming items are referred to appropriate persons according to organisational requirements.

3.

Create resultant spatial datasets.

3.1.

Filtering parameters are established in line with scientific accuracy, redundancy and project specifications.

3.2.

Spatial data is translated into a format that satisfies project specifications.

3.3.

Spatial datasets are populated with edited spatial data according to project specifications and organisational requirements.

4.

Link spatial and attribute data.

4.1.

Method required for referencing location of attribute data is identified according to organisational requirements.

4.2.

Spatial and attribute data are linked according to client specifications and organisational requirements.

4.3.

Spatial queries are carried out on spatial data to access attribute data according to project specifications.

5.

Test and validate spatial datasets.

5.1.

Test queries are determined and implemented to ensure spatial datasets meet project specifications and organisational requirements.

5.2.

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.

5.3.

Documentation is completed according to organisational requirements and appropriate persons are notified of project results.