Collate and interpret spatial data

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 CPPSIS5010A, 'Collate and interpret spatial data'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Reference books for 'Collate and interpret spatial data' on This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to for every purchase, so go nuts :)

Elements and Performance Criteria



1Access data.

1.1 Spatial datasets are retrieved from relevant data storage.

1.2 Data is manipulated into an appropriate format to meet client specifications.

1.3 Requirements for spatial data and constraints are identified through consultation with client or relevant personnel and outcomes are recorded according to organisational guidelines.

2Query and interpret data.

2.1 Relevant sources and data are identified and accessed.

2.2 Data is queried and interpreted using appropriate equipment or software package according to client requirements.2.3 Data is verified for relevance using descriptive and analytical techniques.

2.4 Irregularities are resolved using initiative.

2.5 Skills and knowledge are updated to accommodate changes in data.

2.6 Results are recorded and documented according to organisational and client requirements.

2.7 OHS requirements are planned for and adhered to.

3Collate data.

3.1 Spatial and aspatial requirements are collated to meet organisational needs.

3.2 Most appropriate format and database are selected according to organisational requirements.

3.3 Legal and ethical requirements are addressed.

4Test and validate collated spatial data.

4.1 Tools for testing the validity of the information and data are identified and accessed or developed.

4.2 Links with other functional areas and management systems are identified and facilitated to ensure comprehensive information and data collection.

4.3 Quality and useability of data are ensured according to organisational guidelines.