The Nova Scotia Hydrographic Network is an enhanced version of the Nova Scotia Topographic Database's Water Features theme. This dataset includes network spines for connectivity of water flow and various attribution for flow direction, priority of water flow and toponymic objects where applicable.

Forecast of inbound and outbound tourism in Ontario. Also includes performance indicators by country.

Number of visitors to Ontario grouped by selected overseas countries. ## Related * [Inbound visitor spending](/dataset/inbound-visitor-spending) * [Inbound visitor spending by country](/dataset/inbound-visitor-spending-by-country) * [Inbound visits](/dataset/inbound-visits) * [Inbound Visits by U.S. State](/dataset/inbound-visits-by-us-state) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

The Grain Elevators in Canada dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

Number of outbound visits by residents of Ontario to selected destinations. ## Related * [Outbound visitor spending](/dataset/outbound-visitor-spending) * [Outbound visitor spending by province](/dataset/outbound-visitor-spending-by-province) * [Outbound visitor spending by country](/dataset/outbound-visitor-spending-by-country) * [Outbound visits by province](/dataset/outbound-visits-by-province) * [Outbound visits by country](/dataset/outbound-visits-by-country) * [Outbound visits by U.S. state](/dataset/outbound-visits-by-us-state) * [Outbound visitor spending by U.S. state](/dataset/outbound-visitor-spending-by-us-state) *[U.S.]: United States

Owners/operators/hosts of short-term rental accommodations (rented for 28 days or less) must register, beginning April 1, 2020, under the Short-term Rental Registration Act. The registry allows government to capture data around the supply and location of rental accommodations. This dataset shows the number of registered short term accommodations, of varying types, in each Canada Mortgage and Housing Corporation (CMHC) Census Division (CD).

Part of the Nova Scotia Topographic Database (NSTDB), the structures theme layer is updated and maintained from aerial photography, and verified with field inspections. Chimneys, Incinerators, Silos and Weigh Scales are all examples of what is found in this theme. Structure feature codes and their descriptions are provided with the download in a NSTDB feature code table. Data download also available via GeoNova: https://nsgi.novascotia.ca/WSF_DDS/DDS.svc/DownloadFile?tkey=fhrTtdnDvfytwLz6&id=16 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_Structures_UT83/MapServer?f=jsapi

Total visitor spending in Ontario grouped by selected overseas countries. ## Related * [Inbound visitor spending](/dataset/inbound-visitor-spending) * [Inbound visits by country](/dataset/inbound-visits-by-country) * [Inbound visits](/dataset/inbound-visits) * [Inbound Visits by U.S. State](/dataset/inbound-visits-by-us-state) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

Department of Opportunities and Social Development Office locations including Civic Address, City, Postal Code, Name of Office, Phone #, Fax #, Hours, Website

The Agriculture and Agri-Food Canada (AAFC) Annual Crop Inventory (ACI) is produced at a national scale, covering Canada’s entire agricultural extent. It has been generated operationally since 2011 for the entire country (2009 for the Prairie Provinces). This product is spatially continuous and maps the most probable crop type for every field in Canada, along with the land cover of non-agricultural lands (e.g. wetlands, forest, urban, etc.). It allows AAFC to study and model crop rotation patterns at the field level. To develop the Quantitative Crop Rotation Characteristics of Canada, historical ACI data representing the time series of crops at agricultural field level with annual intervals were applied. They provided the time series of categories of crops for statistical analyses. The results of this work included spatial data sets with several calculated attributes representing crop rotation statistical characteristics. Specifically, a crop sequence turbulence index was shown to be an efficient quantitative measure of mapping the spatial distribution of the sustainability of crop rotation in regions where dominantly annual crops were the active crop rotation. In addition, based on characteristics of observed crops in their time series sequence and the quantitative sequence dynamics represented by the turbulence index, major spatial clusters of crop rotation styles were calculated. To analyze the turbulence index, crop rotation cluster class representing the general style of crop rotation must also be considered. The crop rotation quantitative attributes calculated in this project which are at the field level, can be converted into useful information directing us towards the health and sustainability of crop rotations.