List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.
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. | Access spatial data. | 1.1. | Project spatial data requirements and constraints, and client requirements, are identified and documented in consultation with appropriate persons. |
| 1.2. | Spatial datasets are retrieved from data storage and other relevant sources and new data is captured according to project and organisational requirements. |
| 1.3. | Data is manipulated into appropriate format to meet project requirements. |
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2. | Query and interpret spatial data. | 2.1. | Data is queried and interpreted using appropriate equipment and software application according to project requirements. |
| 2.2. | Data is verified for integrity and relevance using industry-accepted statistical tests and methods according to project requirements. |
| 2.3. | Irregularities are identified and resolved, and results recorded and documented according to organisational requirements. |
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3. | Collate spatial data. | 3.1. | Spatial data is collated according to organisational requirements. |
| 3.2. | Most appropriate format and database for spatial data are selected according to organisational requirements. |
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4. | Validate spatial data. | 4.1. | Tools for testing validity of information and data are identified, accessed and used according to organisational requirements. |
| 4.2. | Problems with collated data are identified and resolved to ensure quality and usability according to organisational requirements. |
| 4.3. | Spatial data is archived and records and documentation are completed according to organisational requirements. |
A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also interpret and collate spatial data that meets client requirements for two different projects.
While interpreting and collating the above spatial data, the person must:
establish project and client requirements for new spatial data
acquire spatial data from a range of industry-accepted sources
comply with organisational requirements for:
communicating with clients and spatial data providers
completing documentation
facilitating information and knowledge management processes
working safely when using screen-based equipment
comply with legal requirements relating to client service provision, and accessing and managing spatial data
exercise precision when retrieving, managing, manipulating and archiving spatial data
manipulate and analyse geographic information system (GIS) data using GIS software
query and interpret spatial data using databases
use industry-accepted methods for assessing validity and integrity of spatial data and resolving errors
use one of the following statistical tests and methods to verify relevance of data:
broad analytical studies to determine estimates of risk
making comparisons using basic tests of significance
mean, standard deviation, regression analysis and percentage change.
A person demonstrating competency in this unit must demonstrate knowledge of:
industry-accepted sources of spatial data, including photogrammetry, remote sensing, terrestrial survey and hydrography
key features of coordinate reference systems
GIS software, including ArcInfo, GenaMap and MapInfo
industry-accepted standards and methods for assessing, verifying and validating spatial datasets and dataset sources
legal requirements for accessing, storing, retrieving and archiving digital and hard copy spatial data, including data privacy and information copyright
line instructions and programming for geographical information systems data
organisational requirements relating to:
work health and safety
client service
information and knowledge management
completing documentation
purpose and use of metadata, including:
availability
conditions of use
coordinate system
currency
custodian
data accuracy
data description
date of acquisition
licence
quality
source
spatial data acquisition methodologies
version control
types of spatial data storage technologies
key features of spatial reference systems
statistical tests and methods used to verify relevance of spatial data
techniques for manipulating datasets using:
command lines
general query language, such as structured query language (SQL)
programming language
scripts
techniques for operating, querying and browsing spatial databases.
The following must be present and available to learners during assessment activities:
equipment:
computer with software appropriate for spatial data management and electronic communication
printer
specifications:
organisational policies and procedures relating to:
work health and safety
data privacy and information copyright
physical conditions:
access to equipped work station
relationships with team members and supervisor:
working in a team.
Timeframe:
as specified by client and project requirements.
Assessor requirements
As a minimum, assessors must satisfy the assessor requirements in the Standards for Registered Training Organisations (RTOs) current at the time of assessment.