Description: This dataset identifies human settlement assets that are potentially at risk from a wildfire in Victoria. Human Settlements are arranged in three subclasses: Residential, Special Fire Protection and Other (as shown in the legend). Assets have been grouped as much as possible to reduce the time taken to assess the assets and determine treatments. Assets are grouped only if they have the same risk characteristics treatment assigned. There are four categories of threat level: low, medium, high and very high. It is automatically determined once the vegetation category, fuel load, separation distance and slope category have been entered into the model. The vulnerability is based on the susceptibility of an asset to the adverse effects of a wildfire. There are three categories: low, medium and high. The consequence assessment is automatically calculated from the Vulnerability and Threat level entered. There are four categories: minor, moderate, major and catastrophic. Likelihood determines the chance of a wildfire igniting and spreading. It is arranged in four categories: unlikely, possible, likely and almost certain. The risk rating and priority of treatment are automatically determined once consequence and likelihood have been entered.
Description: This dataset identifies human settlement assets that are potentially at risk from a wildfire in Victoria. Human Settlements are arranged in three subclasses: Residential, Special Fire Protection and Other (as shown in the legend). Assets have been grouped as much as possible to reduce the time taken to assess the assets and determine treatments. Assets are grouped only if they have the same risk characteristics treatment assigned. There are four categories of threat level: low, medium, high and very high. It is automatically determined once the vegetation category, fuel load, separation distance and slope category have been entered into the model. The vulnerability is based on the susceptibility of an asset to the adverse effects of a wildfire. There are three categories: low, medium and high. The consequence assessment is automatically calculated from the Vulnerability and Threat level entered. There are four categories: minor, moderate, major and catastrophic. Likelihood determines the chance of a wildfire igniting and spreading. It is arranged in four categories: unlikely, possible, likely and almost certain. The risk rating and priority of treatment are automatically determined once consequence and likelihood have been entered.
Description: This dataset identifies human settlement assets that are potentially at risk from a wildfire in Victoria. Human Settlements are arranged in three subclasses: Residential, Special Fire Protection and Other (as shown in the legend). Assets have been grouped as much as possible to reduce the time taken to assess the assets and determine treatments. Assets are grouped only if they have the same risk characteristics treatment assigned. There are four categories of threat level: low, medium, high and very high. It is automatically determined once the vegetation category, fuel load, separation distance and slope category have been entered into the model. The vulnerability is based on the susceptibility of an asset to the adverse effects of a wildfire. There are three categories: low, medium and high. The consequence assessment is automatically calculated from the Vulnerability and Threat level entered. There are four categories: minor, moderate, major and catastrophic. Likelihood determines the chance of a wildfire igniting and spreading. It is arranged in four categories: unlikely, possible, likely and almost certain. The risk rating and priority of treatment are automatically determined once consequence and likelihood have been entered.
Description: The Ambulances Branches Dataset is maintained as the authoritive AV Locations dataset for GIS and is the basis of the AmbulanceVictoria Branches Map. The File contains a great number of Attributes that allow for all labelling posibilities and codes that allow youto seperate Rural/Metro and Emerg/Non Emerg/Admin. The file also contains office Locations and Ambulance Providers.Core business fields includeBRANCH_NAME : Full Branch Name (Locality and Type) INITCAP eg Beaconsfield BranchSTREET_ADDRESS : Informal Street Name (Number & Street Name & Street_Type) eg 391 Blackshaws RoadCITY : Locality of Branch - ALL CAPSSTATE : State Abbreviation (eg VIC, NSW, TAS, SA) ALL CAPSPOSTCODE : Australian PostcodeBRANCH_TYPE : Location TypeAbout BRANCH_TYPE detailsFixed WingArea OfficeHelicopterAV Service ProviderMultiple Crew - ALSBusiness Centre Multiple Crew - ALS (On Call Night Shift)Fleet Services Multiple Crew - MICA & ALSAEDSingle Crew - ACO (On Call 24hr)NEPTSingle Crew - ALS (On Call Night Shift)Single Crew - ALS 24hrSingle Crew - ALS PPUSingle Crew - CERT (On Call 24hr)Single Crew - MICASingle Paramedic - ALS (On Call Night Shift)Single Paramedic - ALS + ACO (On Call Night Shift)Single Paramedic - MICA SRUSingle Responder - RAN (On Call 24hr)Important Note :Single Crew - CERT (On Call 24hr) - CERTs do not have an actual address as they are provided with a vehicle for first response and the vehicle is with the officer on duty (CERT Location is matched to major intersection of locality).Single Responder - RAN (On Call 24hr) - RAN (Remote Area Nurses) are Ambulance First Responders, but are not actually AV resourcesAdditional geo area fields(these have been added at time of data administration using a point in polygon procedure)LGAName : The Local Government Area in which location of the Private Hospitalfacility is within. LGACode and LGAName from VMADMIN_LGA_PLVicgovRegion : the Victorian Government Region in which the location of the Private Hospitalfacility is within. VicgovRegionCode and VicgovRegion from VMADMIN_VICGOV_REGION_PL
Copyright Text: Ambulance Victoria.
c/o Jason Muller, GIS Analyst Team Lead, Performance Analysis and Data Governance, Strategy & Planning @ Ambulance Victoria
Description: Bureau of Meteorology Forecast Areas for Victoria. On 4 December 2009, the Victorian Country Fire Authority (CFA) signed an agreement with the Bureau of Meteorology (the
Bureau) and the Department of Sustainability and Environment (DSE) to formalise the provision of warnings to the community
based on the National Bushfire Warning System. Within this agreement Clause 20 states "As part of the 2009/10 post season
review alignment of the boundaries for both these purposes will be considered".
As a result, CFA, DSE and the Bureau have aligned fire weather districts.
http://www.bom.gov.au/weather-services/about/service-changes/vic_tfb_boundaries_changes2010.shtml