NTISthis.com

Evidence Guide: AHCARB405 - Perform geospatial data collection

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

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

 

AHCARB405 - Perform geospatial data collection

What evidence can you provide to prove your understanding of each of the following citeria?

Determine functionality requirements

  1. Determine technical and business requirements for geospatial data collection
  2. Determine suitability and requirements of using geographical information system (GIS)
  3. Determine suitability of software application for intended purpose
  4. Consider features of remote positioning and satellite shadow reduction
  5. Consider end-to-end capability as required
  6. Determine asset management requirements for GIS data
  7. Consider functional ease-of-use, mobility and reliability
  8. Evaluate future-proofed solutions and outcomes
  9. Select geospatial data collection equipment
Determine technical and business requirements for geospatial data collection

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine suitability and requirements of using geographical information system (GIS)

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine suitability of software application for intended purpose

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Consider features of remote positioning and satellite shadow reduction

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Consider end-to-end capability as required

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine asset management requirements for GIS data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Consider functional ease-of-use, mobility and reliability

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Evaluate future-proofed solutions and outcomes

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Select geospatial data collection equipment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Set up device

  1. Complete relevant start-up procedures
  2. Determine operational data fields
  3. Determine data tables and associated attributes
  4. Configure fields for operational use
Complete relevant start-up procedures

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine operational data fields

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine data tables and associated attributes

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Configure fields for operational use

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Collect and enter data

  1. Undertake functional testing of hand held device for connectivity
  2. Use global positioning system (GPS) to supply co-ordinate data
  3. Use latitude and longitude co-ordinates to locate designated trees
  4. Correct co-ordinate data at tree site visually as required
  5. Update and correct tree attribute data as required
  6. Collect and enter data
Undertake functional testing of hand held device for connectivity

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Use global positioning system (GPS) to supply co-ordinate data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Use latitude and longitude co-ordinates to locate designated trees

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Correct co-ordinate data at tree site visually as required

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Update and correct tree attribute data as required

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Collect and enter data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Process and analyse data

  1. Check data for accuracy for post-processing
  2. Download GIS data
  3. Process GIS data
  4. Analyse data with appropriate techniques
Check data for accuracy for post-processing

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Download GIS data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Process GIS data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Analyse data with appropriate techniques

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

Element

Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Determine functionality requirements

1.1 Determine technical and business requirements for geospatial data collection

1.2 Determine suitability and requirements of using geographical information system (GIS)

1.3 Determine suitability of software application for intended purpose

1.4 Consider features of remote positioning and satellite shadow reduction

1.5 Consider end-to-end capability as required

1.6 Determine asset management requirements for GIS data

1.7 Consider functional ease-of-use, mobility and reliability

1.8 Evaluate future-proofed solutions and outcomes

1.9 Select geospatial data collection equipment

2. Set up device

2.1 Complete relevant start-up procedures

2.2 Determine operational data fields

2.3 Determine data tables and associated attributes

2.4 Configure fields for operational use

3. Collect and enter data

3.1 Undertake functional testing of hand held device for connectivity

3.2 Use global positioning system (GPS) to supply co-ordinate data

3.3 Use latitude and longitude co-ordinates to locate designated trees

3.4 Correct co-ordinate data at tree site visually as required

3.5 Update and correct tree attribute data as required

3.6 Collect and enter data

4. Process and analyse data

4.1 Check data for accuracy for post-processing

4.2 Download GIS data

4.3 Process GIS data

4.4 Analyse data with appropriate techniques

Required Skills and Knowledge

Element

Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Determine functionality requirements

1.1 Determine technical and business requirements for geospatial data collection

1.2 Determine suitability and requirements of using geographical information system (GIS)

1.3 Determine suitability of software application for intended purpose

1.4 Consider features of remote positioning and satellite shadow reduction

1.5 Consider end-to-end capability as required

1.6 Determine asset management requirements for GIS data

1.7 Consider functional ease-of-use, mobility and reliability

1.8 Evaluate future-proofed solutions and outcomes

1.9 Select geospatial data collection equipment

2. Set up device

2.1 Complete relevant start-up procedures

2.2 Determine operational data fields

2.3 Determine data tables and associated attributes

2.4 Configure fields for operational use

3. Collect and enter data

3.1 Undertake functional testing of hand held device for connectivity

3.2 Use global positioning system (GPS) to supply co-ordinate data

3.3 Use latitude and longitude co-ordinates to locate designated trees

3.4 Correct co-ordinate data at tree site visually as required

3.5 Update and correct tree attribute data as required

3.6 Collect and enter data

4. Process and analyse data

4.1 Check data for accuracy for post-processing

4.2 Download GIS data

4.3 Process GIS data

4.4 Analyse data with appropriate techniques

The candidate must be assessed on their ability to integrate and apply the performance requirements of this unit in a workplace setting. Performance must be demonstrated consistently over time and in a suitable range of contexts.

The candidate must provide evidence that they can demonstrate:

determining technical and business requirements for geospatial data collection

determining suitability and requirements of using geographical information system (GIS)

determining suitability of software application for intended purpose

consider features of remote positioning and satellite shadow reduction

considering end-to-end capability as required

determining asset management requirements

considering functional ease-of-use, mobility and reliability

evaluate future-proofed solutions and outcomes

selecting geospatial data collection equipment

completing relevant start-up procedures

determining operational data fields

determining data tables and associated attributes

configuring fields for operational use

undertaking functional testing of hand held device for connectivity

using co-ordinates to locate designated trees

correcting co-ordinate data at tree site visually as required

updating and correcting tree attribute data as required

collecting and entering data

checking data for accuracy for post-processing

downloading business data

processing business data

analysing data with appropriate techniques

use of industry standard terminology to describe.

The candidate must demonstrate knowledge of:

geospatial data

collection of geospatial data

technical and business requirements for geospatial data collection

suitable software applications for using geospatial data

remote positioning

satellite shadow reduction

end-to-end capability

asset management

attributes of functional ease-of-use, mobility and reliability

geospatial data collection equipment

configuring data fields

global positioning system (GPS)

latitude and longitude co-ordinates

start-up procedures

data fields

data tables

tree attribute data

data entry

data processing.

Range Statement