Geolocator view to be used with Manitoba items. Geolocator view to be used with Manitoba items. 

This table contains data on food processing facilities in the province. This table, created by the Food Safety and Inspection Branch-Manitoba Agriculture, contains data on food processing facilities in the province. Fields included ( Alias (Field Name): Field description.) Site Address (Site_Address): Address of the facility. Facility Number (Facility_Number): Number assigned to the facility. Facility Name (Facility_Name): Registered name of the facility. Facility Type (Facility Type): Facilities’ permits issued are specific to the type of product manufactured.  Facility Category: The different permit categories include: Processed Products – Facilities with permits in this category include food operations that produce processed food products (ex: condiments, candy, snack food, other prepared food). Food Warehousing, Distribution and Repackaging – Facilities with permits in this category include operations that store and distribute food products and may conduct basic repackaging ex: bulk dry goods into smaller retail packages. Meat Processing – Facilities with permits in this category include operations that make various meat products ranging from raw meat cuts to products such as sausage and jerky. Also in this category are facilities that make products like smoked fish. Their permits only allow the products to be sold within Manitoba. Bottling – Facilities with permits in this category include water bottling plants, soft drink manufacturers, breweries, wineries, distilleries, juice manufacturers, ice making plants and other similar plants. Grain/Oil Seed Processing – Facilities with permits in this category include grain and seed cleaning and packaging facilities, flourmills, oil processors, etc. Abattoirs – Facilities with permits in this category are abattoirs that slaughter animals under the oversight of a government inspector to produce meat for sale within the province. Dairy Products Processing – Facilities with permits in this category process dairy products (ex: raw milk cheese). Program Area (Program_Area): Program area. Work Area (Work_Area): Work area. Community (Community): Community where the facility is located Area (Area): Area of the city where the facility is located.  Zone (Zone): Zone of the city where the facility is located. Region (Region): Name of the region where the facility is located. Legal Name (Legal_Name): Legal name of the facility. Lot (Lot): Lot where the facility is located. Block (Block): Block where the facility is located. Plot (Plot): Plot where the facility is located. Quadrant (Quadrant): Quadrant where the facility is located. Section (Section): Section where the facility is located. Township (Township): Township where the facility is located. Meridian (Meridian): Meridian where the facility is located. Site Unit Number (Site_Unit_Number): number of the unit where the facility is located. Site Street Number (Site_Street_Number): Street number where the facility is located. Site City (Site_City): City where the facility is located. Site Province (Site_Province): Province where the facility is located. Site Country (Site_Country): Country where the facility is located. Site Postal Code (Site_Postal_Code) : Postal code of the facility. Latitude (Latitude): north-south coordinates of the facility. Longitude (Longitude): east-west coordinates of the facility. Species Harvested (Species_Harvested): species being processed in each abattoir.

This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022. This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022. The data is also classified by its Slaughter Class: Cattle, Swine, Chiken,  Spent layer hens, Ducks, Geese, Rabbits, Spent Breeder hens, 5 kg and under, Bison, Elk, Goats, Horses, Lambs, Llama/Alpaca, Mature turkey, over 11 kg, over 5 but no more than 7 kg, over 7 but no more than 9 kg, over 9 but no more than 11 kg, Sheep, and Wild boars.Field Names (Field Alias): Field description.SlaughterFigureID (SlaughterFigureID): unique indexed number assigned to each record in the database. BodyPart (BodyPart): code for the different body parts affected in partial condemnations. CondemnationReasonCode (CondemnationReasonCode): code for all the different reasons for condemnation. CondemnationType (CondemnationType): This identifies whether the condemnations are either Whole or Partial. SlaughterYear (SlaughterYear): Year when the slaughter occurred. NumberSlaughtered (NumberSlaughtered): Total number of animals slaughtered during the indicated period of time. NumberCondemned (NumberCondemned): Total number of animals condemned (whole) or total  number of parts of animals condemned (partial) during the indicated period of time. SlaughterClass (SlaughterClass): Species or class of the animal or part of the animal condemned. Quarter (Quarter): Number of the quarter.                   - January to March – 1                     - April to June – 2                     - July to September – 3                     - October to December - 4 QuarterYear (Quarter/Year): Corresponding quarter and year.

This is the 5 year investment plan for Manitoba Highway and Infrastructure Capital Projects. This dataset will show all the proposed infrastructure projects for the next 5 years. This Feature layer is similar to the "Manitoba Capital Plans Project Status" and will be updated once a year.This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset.Fields included (Alias (Field Name): Field description.)Hwy (Hwy): The highway number where the project is located.  Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Investment Category : (Investment_Category): Category of future investment for the project. (Ex: Renewal, Economic Development, Connectivity and Innovation, Climate Resiliency)  Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project.This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

This application is created to allow public to access and apply for authorization under Section 14(4) of the Manitoba Water Resources Administration Act. This application allows public to access and apply for authorization under section 14(4) of Manitoba Water Resources Administration Act. The map within the application contains lines and polygons showing the locations of provincial waterways, such as drains, dikes, diversions, detention basins, floodways, dams and reservoirs. The datasets were created by digitizing high-resolution imagery of the water features and by digitizing the titled Water Control Work plans associated with the features for drains which have been designated as provincial waterways by Order-in-Council. Manitoba Municipal Boundaries and Manitoba Property Assessment information are also displayed on the map for reference purposes.

This WebMap comprises of two layers , namely, HRDPA Observed Accumulated Precipitation - Past 1 day, 3 days and 7 days (feature layer) ; and HRDPA SubBasin Precipitation Distribution - Past 1 day, 3 day, and 7 days (feature layer). HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.

This polygon layer provides medium-range (up to 10 days) accumulated precipitation forecasts from the Global Deterministic Prediction System (GDPS), a worldwide numerical weather model run by Environment and Climate Change Canada. It addresses broad-scale weather systems and supplies boundary conditions for nested regional models. Global Scope: The GDPS covers the entire planet at ~15 km resolution, projecting large-scale atmospheric developments over a 240-hour window. Coupled Model: Integrates atmospheric and oceanic interactions, improving forecast accuracy for cyclones, frontal systems, and long-traveling storm patterns. Operational Backbone: Frequently used as a reference for regional or local models (e.g., RDPS) and for medium-range planning in water resource management or agriculture. Forecast Frequency: Runs twice daily, producing deterministic outputs that guide meteorologists, hydrologists, and emergency preparedness teams.

Shows sub-basin-averaged precipitation from the GEPS ensemble, reflecting the mean (or other metrics) of multiple ensemble members. Useful to understand probabilistic rainfall/snowfall expectations for each watershed. GEPS is ECCC’s ensemble system, running ~20 members globally to quantify forecast uncertainty out to ~16 days. This layer aggregates ensemble precipitation data over sub-basin polygons. The attribute “Average Accumulated Precipitation” often represents the ensemble mean, capturing a more probable average scenario. Operators can use this for risk-based hydrological planning or to gauge confidence in upcoming flood/drought scenarios across different sub-basins.

This polygon layer depicts sub-basin average observed precipitation from the High Resolution Deterministic Precipitation Analysis (HRDPA). Offers insight into how much rain/snow actually fell across each watershed in the past observation period. Observation periods we are interested are for past 1 day, 3 days and 7 days. HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. This layer aggregates the final (or preliminary) HRDPA accumulations to sub-basin polygons. Each record indicates the average precipitation that truly occurred over each watershed, vital for verifying model forecasts, calibrating hydrological models, and conducting post-event analyses of flood or drought severity.

This polygon layer represents accumulated precipitation forecasts from the Regional Ensemble Prediction System (REPS), a regional probabilistic model. It delivers ensemble‑based, short‑range precipitation forecasts—typically a 72‑hour accumulation—that aid in assessing the risk and spatial distribution of rainfall events, supporting hydrological analysis, flood forecasting, and water resource management. This polygon layer is produced by processing REPS GRIB2 files. The workflow involves extracting the precipitation field, converting it to a TIF raster, and then applying resampling, smoothing, and classification to create polygon features. These features represent forecasted rainfall totals over a 72‑hour period and are updated with each model run to maintain current predictive information. Source: Environment & Climate Change Canada