Identifies location, sport played and condition of receational facility.

Energy use profiles support effective planning and targeting of energy saving and decarbonising energy supply programs and community engagement. The Department of Sustainability and Environment (DSE) has developed energy consumption profiles for Victorian Local Government Areas. This tool transforms postcode-level source data provided by the Victorian energy distributors into consumption profiles across the municipality. It provides a profile of energy use by SLA for households across the municipality. Year to year comparisons can show changing patterns of energy use for households and on a per capita and per household basis. The tool also has the capacity to incorporate Commercial and Industrial energy use and trends over time.

Projection data is described in the gridcode column of the attribute table. This number is 1000 times the actual value (retained in this form to capture significant figures through map processing). For example, "Gridcode -23599" equates to -24% (rainfall) and "Gridcode 1986" equates to 2.0 degrees Celsius (temperature). The results are from 23 climate models that were available for the IPCC Fourth Assessment Report (2007). It is assumed that that the model results give a representation of the real world response to a specific emissions scenario. The IPCC (2007) estimates of global warming are relative to the period 1980-1999. For convenience, the baseline is often called 1990. Projections are given for 2030 and 2070 but, of course, individual years can vary markedly within any climate period, so the values can be taken as representative of the decade around the single year stated, i.e. projections for 2030 are representative of 2026-2035. Natural variability (independent of greenhouse gas forcing) can cause decadal means to vary and estimates of this effect are included in the estimates of uncertainties. The projections comprise a central estimate and a range of uncertainty. The central estimate is the median – or 50th percentile - of the model results, while the uncertainty range is based on two extreme values – the 10th and 90th percentiles. 10% of values fall below the 10th percentile and 10% of values lie above the 90th percentile. Greater emphasis is given to projections from models that best simulate the present climate. The weightings are based on statistical measures of how well each model can simulate the 1975-2004 average patterns of rainfall, temperature, and sea level pressure over Australia. Subregions of Victoria are indicated. Victoria has an integrated catchment management system established under the Catchment and Land Protection Act 1994 (the CaLP Act). Under the CaLP Act, Victoria is divided into ten catchment regions, with a Catchment Management Authority (CMA) established for each region. (See: http://www.water.vic.gov.au/governance/catchment_management_authorities)

THIS LAYER HAS BEEN RETIRED FROM THIS OPEN DATA SOURCE. YOU CAN ACCESS A NEW DATASET ON THE DEPARTMENT OF TRANSPORT AND PLANNING OPEN DATA PORTAL https://opendata.transport.vic.gov.au/ . THE NEW DATASET IS CALLED "PUBLIC_TRANSPORT_STOPS". This layer depicts spatial objects (points) representing metropolitan tram stops. Each tram stop has attributes that describe StopID, StopName, Lat/Long, Ticket Zone and Routes Using Stop. The data has been generated from the PTV GTFS data with extra attributes from PTV's TransNet database. This dataset supersedes "PTV_TRAM_STOP" (which included metro and regional stops). This dataset was first loaded into the VSDL in March 2018 and will be updated approximately quarterly.

Energy use profiles support effective planning and targeting of energy saving and decarbonising energy supply programs and community engagement. The Department of Sustainability and Environment (DSE) has developed energy consumption profiles for Victorian Local Government Areas. This tool transforms postcode-level source data provided by the Victorian energy distributors into consumption profiles across the municipality. It provides a profile of energy use by SLA for households across the municipality. Year to year comparisons can show changing patterns of energy use for households and on a per capita and per household basis. The tool also has the capacity to incorporate Commercial and Industrial energy use and trends over time.

This hunting area dataset depicting areas where Pest hunting (Red Fox, European Hare, European Rabbit, Goat, Pig, Wild Dogs) is permitted, have boundaries largely derived from the PLM25 dataset which are supplemented with additional boundaries based on legislative restrictions on hunting. The dataset identifies the conditions under which hunting of given Game and Pest animal groups and species is permitted. The rules used to produce this product were developed by the legislation unit with the Land Management Division of the Department of Environment , Land, Water and Planning in consultation with the Game Management Authority, VicPolice, Parks Victoria and other relevant government authorities. These rules are based on requirements in the Forest Act, National Park Act, Crown land (Reserve) Act, Land Act, Wildlife Act. Note : Hunters are personally responsible for acting in accordance with the Firearms Act 1996 (including informing themselves about any prohibited locations within the areas shown on this map) and other relevant laws; obtaining the required hunting licence; and for hunting only within season. More information can be obtained from the Game Management Authority's web site. Vicmap Basemap Services | State Government of Victoria | @DELWP

This dataset is designed to be used as a "graticule layer", allowing a graticule to be drawn on maps when using software packages that don't support their generation in other ways. It consists of lines spaced at 1km intervals, running north-south (attributed with Easting) and east-west (attributed with Northing). It is applicable for use where a VicGrid94 graticule is required. Can be projected to provide a Vicgrid94 graticule over data based on other co-ordinate systems (eg Geographic or MGA). This dataset forms part of a series of graticule layers, one for each common projection.

This raster dataset consists of annual Evapotranspiration (ET) for the period 2007 to 2008. The data has been derived using the Surface Energy Balance Algorithm for Land (SEBAL). SEBAL is a computer application developed by WaterWatch which uses complex radiation and energy balace algortithms to generate evapotranspiration or actual water use from satellite imagery. 30m resolution data was produced from Landsat and MODIS satellite imagery and 250m resolution data produced from MODIS only. In addition, 250m resolution land-use data was used from the Bureau of Rural Sciences.

The ISC2010_STREAMBED_WIDTH polygon features represent the width between the Toe of each opposing bank for each River Reach. River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography. A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources. The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics. Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

The ISC_BANKFULL_WIDTH_S table is the Statistical Summary table for the Bankfull Width metric at the 100m Section level. River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography. A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources. The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics. Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.