Coordinate GIS data manipulation and analysis

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 CPPSIS5064, 'Coordinate GIS data manipulation and analysis'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Books
Reference books for 'Coordinate GIS data manipulation and analysis' 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 meet client GIS data needs.

1.1.

Client requirements and project specifications for GIS data format are determined in consultation with appropriate persons.

1.2.

Parameters for data manipulation and analysis are specified according to project specifications.

1.3.

New procedures for manipulating and analysing data to meet project specifications are documented.

2.

Establish GIS data models.

2.1.

Applicability of existing tools, models, theories, applications and solutions is reviewed against project specifications.

2.2.

Feasible parameters, equations and assumptions are developed according to project specifications.

2.3.

Models are established to meet project specifications according to organisational requirements.

3.

Manipulate and analyse GIS data.

3.1.

Processes for data manipulation and analysis are determined and used to meet project specifications.

3.2.

Source data limitations and other restricting factors are analysed to ensure data integrity, and problems are identified and resolved or contingencies are managed.

3.3.

Data is isolated and retrieved from source, and interrogated to ensure reliability according to project specifications.

3.4.

Data is manipulated and prepared for presentation media, and project is finalised according to organisational requirements.