Parks Victoria Assets

dataset: PV_ASSET
Recreation asset dataset describes assets related to recreation sites or trails (such as toilets, viewing platforms, picnic shelters etc) within the Parks Victoria Estate. This dataset provides valuable information to promote these assets for public use as well as assisting staff in their management of these assets. All recreation assets within the parks estate have been captured and recorded with a Trimble Pro XR GPS and are actively maintained by the Parks Victoria. PV Asset dataset endeavors to describe Parks Victoria assets within the aprks victoria estate. This dataset will assist staff in their management roles and facilitate promotion to the public. All assets within national park have been captured and recorded with a Trimble Pro XR GPS. This dataset has been created as part of the PV asset databse project. Initial data collection commenced in xx. New facilities will be added periodically to the dataset as required.
 
Citation proposal Citation proposal
(2022)

Parks Victoria Assets

Department of Energy, Environment and Climate Action
 

Description

Title
Parks Victoria Assets 
Alternate title
PV_ASSET 
Resource Type
Dataset  
Purpose
The main purpose is to assist PV staff with the management of recreation assets and to promote these assests for public use. This dataset replaces older asset datasets. 
Credit
xxx - initial design of table structure xxxx - advice and program development (SQL, oracel SQL on python, Oracle Spatial, automation) xx - PV source tables 
Supplemental Information
History: Formerly asset database Current Design Issues: Recreation Facilites Database datatsets are currently captured as individual shapefiles which are validated, merged and migrated to the FORESTS schema of the corporate SDE evironment via an Arc/Info aml based process. Related Documents: None This dataset replaces the RFDB asset datasets- Bird Viewing Hide, Boardwalk, Bridge, Rec Generator, Hang Gliding Launch, Information Shelter, Jetty, Picnic Shelter, Recreation Element, Elevated Stairs, Toilet Block and Viewing Platform. Several tables with their Lat and Lon values are combined into the PV_ASSET dataset. Oracle SQL is used to create the final tables structure. Oracle spatial is used to create the points layer. The following are the source tables used to create the dataset: PV Asset PVASSET 
Status
Completed  
 
 

Temporal

Time period
2013-07-18 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
25m  
Code
4283 
Description
General - Victoria 
N
S
E
W


 

 

Maintenance

Maintenance and update frequency
Biannually  
 
 

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.
 
 

Keywords

Topic category
  • Structure
  • Environment
DELWP Categories
  • Facilities & StructuresRecreation
 
 

Resource Constraints

Use limitation
The dataset is restricted for internal use. To promote these assets for public use and encourage visitation. 
Classification
Limited Distribution  
 
 

Lineage

Statement
Dataset Source: Primary dataset based on GPS field work. Dataset Originality: Primary 
Description
Collection Method: Trimble pro XR GPS with external atenna. 
Description
All data has been post processed by base stations. A customised processing system screens the data to ensure all serial numbers are unique and to detect spelling errors. 
 
 

Metadata Constraints

Classification
Limited Distribution  
 
 

Quality

Attribute Quality
Comments
Recreation Facility attributes were collected on site. The majority of the attributes are from drop down lists which minimises errors. 
Positional Accuracy
Comments
Data has been collected with a Trimble pro XR GSP with an external antenna. The majority of points have sub metre accuracy, detailed in the attributes. The upper limit of accuracy is within 10m for 95% of the data. All data has been post processed using GPSnet base stations. 
Conceptual Consistency
Comments
The majority of points have sub metre accuracy. All data has been post processed using GPSnet base stations. 
Missing Data
Comments
80% 
Excess Data
 
 

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