Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work. Each tutorial video is also accompanied by a written script, providing a step-by-step reference that users can follow alongside the video or consult afterwards.

The Freshwater Fish Habitat Accessibility MODEL- Pacific Salmon and Steelhead predicts the potential extent of accessible freshwater habitat for Pacific Salmon species and Steelhead in BC. Using the BC Freshwater Atlas as the mapping base, the model presumes that in watershed groups where a given species is known to occur, the species can potentially access any stream that is either: - downstream of a known, validated fish observations for the given species OR - has no known barrier to fish passage downstream AND - has no segment steeper (for at least 100m) than the known swimming ability of the given species anywhere downstream This product is an ACCESSIBILITY MODEL only – it represents only the streams that Pacific Salmon and Steelhead could potentially use for migration, based on known/modelled barriers and the given species swimming ability. The model accounts only for natural barriers and connectivity – other essential characteristics for defining fish habitat are not included. For example, streams modelled as accessible may not have flow sufficient for supporting fish. As such, this model is not appropriate for use in operational applications. It is more appropriate for landscape level assessments and planning exercises. Site specific projects such as riparian buffer delineation require field assessment, stream measurements and fish sampling.

Each pixel value corresponds to the actual number (count) of valid Best-quality Max-NDVI values used to calculate the mean weekly values for that pixel. Since 2020, the maximum number of possible observations used to create the Mean Best-Quality Max-NDVI for the 2000-2014 period is n=20. However, because data quality varies both temporally and geographically (e.g. cloud cover and snow cover in spring; cloud near large water bodies all year), the actual number (count) of observations used to create baselines can vary significantly for any given week and year.

Municipal infrastructure dedicated to pedestrians.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Mapping of the centers of watercourses and surface watercourses on the territory of Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Mapping of neighborhoods in Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Data set on agreements concluded under the Regulation for a mixed metropolis to improve the supply of social, affordable and family housing (20-041). Since April 1, 2021, for all permits subject to it, the conclusion of an agreement in accordance with the Regulation is required. This regulation aims to improve the supply of social, affordable and family housing in the city.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Map of Quebec City fire hydrants**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

City of Trois-Rivières sewer pipe network**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The ORN is a provincewide geographic database of over 250,000 kilometres of municipal roads, provincial highways, and resource and recreational roads. The ORN is the authoritative source of roads data for the Government of Ontario. Road names in the ORN are the official names provided by the authoritative jurisdiction for each road segment, such as a municipality or the Ontario Government. The list of authoritative sources used for the ORN is in the “Ontario Road Network - List of Partners” document in the Supporting Files section below. You can also find the authoritative jurisdiction for a specific road feature in the Jurisdiction table in ORN Road Net Element. ORN Road Net Element requires an advanced knowledge of GIS including LRS and complex table relationships. This dataset contains the following related tables: * official street name * alternate street name * address information * road classification * number of lanes * road surface * speed limit * structure * toll point * blocked passage * route name * route number * jurisdiction * source * underpass * junction