Extractive Industry Interest Areas

dataset: EIIA
The dataset displays areas identified by the Geological Survey of Victoria to be of known future interest to the extractive minerals industry. Areas are based on suitable geological occurrence and also take into account existing local government planning schemes. They are intended to provide a guide to local government in developing future planning policy.
 
Citation proposal Citation proposal
(2013)

Extractive Industry Interest Areas

Department of Energy, Environment and Climate Action
 

Description

Title
Extractive Industry Interest Areas 
Alternate title
EIIA 
Resource Type
Dataset  
Purpose
To assist in the development of extractive industry resources; to identify for local government planning purposes, areas of likely interest for the extractive minerals supply. 
Supplemental Information
Related Documents: None 
Status
Completed  
 
 

Temporal

Time period
2009-09-16 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
250m  
Code
4283 
Description
General - Victoria 
N
S
E
W


 

 

Maintenance

Maintenance and update frequency
As needed  
 
 

Format

 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Economy
  • Structure
  • Geoscientific information
 
 

Resource Constraints

Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: Mapinfo Dataset created by Avi Olshina Dataset Originality: Derived 
Description
MapInfo tab files placed into J:/f-maps/extractive/ and renamed to interest_areas converted to ArcInfo Export within MapInfo copy the *e00 area to r:/p_mp/import/eiia_date modify and run &r import_eiia 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Missing Data
Comments
40% Completeness Verification: Metadata Custodian Review Frequency: yearly Metadata Last Reviewed by Custodian: November 2003 
Excess Data
 
 

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  Associated resources

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