Recreation Track

dataset: RECWEB_TRACK
A derived dataset of extracted features from Vicmap TR_ROAD dataset that represents the DELWP-managed recreation track network mainly in State Forest. Recreation Tracks within State Forest dataset represents walking/cycling tracks and touring routes within State Forest. This dataset will assist staff in their management roles and facilitate promotion to the public. All tracks are actively promoted to the public and maintained by the Department of Environment, Land, Water & Planning. This dataset was initially created as part of the 2004 Recreation Facilities Database project and is now actively maintained through Vicmap Roads and extracted for use with apps and asset management tools.It is regularly updated to reflect changes to our recreationals tracks (including walking, mountain biking and other tracks).
 
Citation proposal Citation proposal
(2022)

Recreation Track

Department of Environment, Land, Water & Planning
 

Description

Title
Recreation Track 
Alternate title
RECWEB_TRACK 
Resource Type
Dataset  
Purpose
The main purpose is to assist all DELWP staff with the management and consideration of recreation facilities. Facilities and activities have been classified in a uniformed system aiding in desktop analysis, planning and promoting recreation within State Forests. All facilities have a geo-referenced photo that can be viewed through MapShare. Risk assessments have been conducted when data was collected and will continue to the conducted every 6 to 18 months. Risk assessment and all other information can be obtained through the RecWeb database on the Departments Intranet. 
Supplemental Information
History: Formerly RFDB_TRACK 19 July 2017 - Structural Change Added new columns PADDLING and PADDLING_C to reflect new paddling activity along track December, 2018 Addition of Unique Feature Identifier (UFI), a combination of the entity id and update date. Added activity ranking columns for optimised mapping display. Relationship to other Datasets: VM_TR_ROAD 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 
Status
Completed  
 
 

Temporal

Time period
2015-02-26 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
25m  
Code
4283 


 

 

Maintenance

Maintenance and update frequency
Daily  
 
 

Format

 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Biota
  • Structure
 
 

Resource Constraints

Use limitation
The dataset is available via VSDL, spatial datamart, open data feature services. Viewable in Mapshare Forest Explorer and More to Explore iphone app. To promote these tracks for public use and encourage visitation. 
Classification
Unclassified  
 
 

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
Unclassified  
 
 

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 bee 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
100% 
Excess Data
 
 

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