The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: * unclassified * ground * water * high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data:__ Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Terrain Model (Lidar-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Lidar-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-lidar-derived/about).

This dataset contains Lake Ontario prey fish abundance and distribution statistics, collected every year during spring and fall bottom trawl surveys. The New York State Department of Environmental Conservation and the U.S. Geological Survey have conducted annual, spring and fall bottom trawl surveys in U.S. waters of Lake Ontario since 1978. In 2015, the Ministry of Natural Resources and Forestry started contributing to this program to include survey coverage in Ontario waters. The ministry also intermittently conducts mid-water trawling during the summer months on a limited geographic area largely confined to the Eastern Basin. The survey has varied sample distribution across lake depths and jurisdictions. The south shore of Lake Ontario has well-distributed coverage of depths between 8 and 200 metres. Coverage along the north shore is less uniform due to a lack of suitable trawl sites at shallower depths.

The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program. It was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the GEO imagery program. The dataset consists of overlapping tiles in LAZ format and is 6.29 terabytes in size. Tiles are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data__ For a product in non-overlapping tiles with a ground classification applied, see the [Ontario Classified Point Cloud (Imagery-Derived)](https://geohub.lio.gov.on.ca/datasets/febf17330adb4100a22738e1684b5feb). Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see [Ontario Digital Elevation Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-elevation-model-imagery-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-imagery-derived/about).

Invest Nova Scotia is Nova Scotia’s business development agency that works to promote economic growth and community economic development in the province by enabling business, innovation, and entrepreneurship. From starting up and raising capital, to incubation and acceleration, export development and investment attraction, Invest Nova Scotia helps businesses seize opportunities.

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Data is collected each year, according to the lake-by-lake cycle. Information includes: * sediment chemistry * approximately 80 index and reference stations throughout the Great Lakes basin

The Ontario Railway Network (ORWN) is seven data classes that use the federal GEOBASE standard for the National Railway Network (NRWN) geospatial data. The seven data classes include: * track * crossing * junctions * marker posts * structure lines * structure points * stations Although the ORWN is mainly used as base data for cartographic products, users will also get railway-associated attributes.

The Ontario Digital Surface Model (Imagery-Derived) is a raster elevation product that was generated from the elevation point clouds created via pixel-correlation from aerial photography. A DSM is the highest reflective surface of features captured by the sensor. This surface is also referred to as the first reflective surface. The DSM may include: * treetops * rooftops and tops of towers * telephone poles * other natural or artificial features * ground surface if there is no vegetative ground cover This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

## General guidelines 1. The dataset contains trip origin, destination, commodity group, average daily trips, commodity weight and value. 2. The data represents activity by medium and heavy trucks only. 3. The origin and destination data is aggregated by counties in Ontario and province or state outside of Ontario. 4. The commodities are grouped into 32 groups and empty trucks. 5. The Commercial Vehicle Survey targets travel on provincial facilities. Therefore, coverage of intra-urban trips is incomplete, and should not be interpreted as representative. 6. Trip activity within the Greater Toronto Area municipalities is not representative. 7. The average trip distance is 440 km. Caution must be exercised with short distance trip activities. 8. All Origin-destination pairs with average trip activity of less than one trip per day have been suppressed. ## Field descriptions **Origin zone** : Trip Origin Zone Number - Zone aggregation is counties in Ontario and province/state for others 35XX - Ontario counties 70XX - U.S. States XX00-XX00 (except 3500) - Canadian Provinces **Origin name** : Trip Origin Name - county or province/state name **Destination zone** : Trip Destination Zone Number - Zone aggregation is counties in Ontario and province/state for others. Same numbering system as origins **Destination name** : Trip Destination Name - county or province/state name **Commodity group code** : Unique commodity group numeric code **Commodity group:** Descriptive name of the commodity group **Daily trips** : Average daily truck trips **Commodity weight** : Average daily commodity weight in kilograms (KG) **Commodity value** : Average daily value of the commodity in dollars ($) *[km]: kilometre

ECO - Business and economic (economy) Economic activities or employment. For example, resources describing labor; revenue; commerce; industry; tourism and ecotourism; forestry; fisheries; commercial or subsistence hunting; and exploration and exploitation of resources, such as minerals, oil, and gas.