Canada Provinces Shapefile Download !EXCLUSIVE!

Are you struggling to find a basic shapefile of Canada with provinces and territories? Have you found something only to discover it looks horrible when you zoom in? Does the whole experience make you wonder why something that should be simple is so difficult? Weep no more: we have what you're looking for!

Yes folks, we recommend that you use Statistics Canada's 2021 cartographic boundary shapefile for provinces/territories. What a mouthful for what is a wonderful yet plain outline of Canada and its provinces and territories:

Canada Provinces Shapefile Download

Download Zip 🔥 https://cinurl.com/2y3LHf 🔥

For a presumably unlimited time, the United States of America also has cartographic boundary shapefiles that include all states plus Guam, Puerto Rico, the US Virgin Islands, and the Commonwealth of the Northern Mariana Islands!

Looking for all of North America in one file? The Commission for Environmental Cooperation has you covered with national boundaries plus provinces, states, and territories of Canada, the US, and Mexico!

As a bonus, if you download all three in the next 30 minutes, there are also free boundaries for the world's countries at Natural Earth! You can even find more sources on this excellent webpage! And this webpage lists boundary shapefiles as well as water features, roads, and more!

There are also three types of geographic area: administrative, statistical and non-standard. Administrative areas are defined, with a few exceptions, by Canadian federal and provincial/territorial statutes or agencies, and adopted by Statistics Canada for the purpose of data dissemination activities. Examples include: provinces, territories, health regions and federal electoral districts. Statistical areas are defined by Statistics Canada to support census and survey dissemination activities. They are created according to a set of rules based on geographic attributes and one or more characteristics of the resident population. Examples include: populations centres, economic regions and dissemination areas. Non-standard areas are defined by Statistics Canada as areas that are customized aggregations of individual standard geographic areas, and areas that do not match the standard geographic areas at all. Examples include: the population and agricultural ecumenes.

I am trying to plot some provincial data about Canada on a map. However, some of my data is aggregated into regions so I need to combine some provinces on my map. I am aware the provinces in my data overlap with some of the regions (Alberta is part of the Prairies), but this is what I have.

As you can see below, this creates a mess. Preferably I would also remove any borders between provinces within the same region. I admit I don't know much about shape files or GIS, so please let me know if what I want to do is impossible.

So far I have only been able to plot the Canadian provinces/territory within matplotlib, but their shapes appear in a unique color, and I don't know how to change that according to the numbers in values.

'Province' and 'territory' refer to the major political units of Canada. From a statistical point of view, province and territory are basic areas for which data are tabulated. Canada is divided into 10 provinces and 3 territories. Statistics Canada uses standard codes and abbreviations to represent provinces and territories. The two-digit code that uniquely identifies each province/territory is based on the Standard Geographical Classification (SGC). The code is assigned from east to west. The first digit represents the geographical region of Canada in which the province/territory is located and the second digit denotes one of the 10 provinces and 3 territories.

Files of official geographical names for individual provinces and territories, as well as for the offshore, are available in Text, Shape and KML formats from the table below. The files are re-generated on a weekly basis to include the most recent updates from the Canadian Geographical Names Database.

Hello everyone,

I am preparing surrogates for a new grid and will apply them to 2016v1 and 2017v1 platform. However, the generated surrogates for CAN and MEX seem not in completeness so that the gridded emissions only cover part of the domain. I find that the surrogates lack some FIPS. For example, in CAN_200, it does not have 110000, 135101, 135102, 135103,135104, etc. Insead, it has 135000. I feel that this problem is caused by the shapefile.

I am now using the files from _surrogates/shapefiles/CANADA2015_shapefiles_for_2016_platform.zip. Anyone knows where can I find the suitable one?

The Advanced Weather Interactive Processing System (AWIPS) uses shapefiles for base maps in the system. A widely used common subset of these shapefiles have been made available for use by NWS partners. These shapefiles contain boundaries of areas used by NWS for forecasts and warnings as well as map backgrounds.

If you are looking for weather data that are compatible with GIS software go to this link for access.

The Large Fire Database (LFDB) is a collection of forest fire locations as provided by Canadian fire management agencies including provinces, territories, and Parks Canada. The data set includes only fires greater than 200 hectares in final size for years 1959 through 1999. This version was released in May 2002, and a detailed analysis was published by Stocks et al. in 2002. The LFDB is no longer maintained, but it has been replaced by the National Fire Database.

You can use custom maps with Shape map as long as they are in the TopoJSON format. If your map is in another format, you can use online tools such as Map Shaper to convert your shapefiles or your GeoJSON maps into the TopoJSON format.

(data) MapCruzin offers a variety of ArcGIS shapefiles are derived from OpenStreetMap, licensed under the Open Data Commons Open Database License (ODbL). Data they provide includes roads, boundaries, places, water bodies, points of interest and more -canada-saskatchewan-arcgis-maps-shapefiles.htm

The inputs for the ODB are datasets provided by municipal, regional or provincial sources available to the general public through open government portals under various types of open data licenses. The current version of the database (version 2.0) contains approximately 4.4 million records and includes provinces and territories where open building footprints were found during the collection period (from January to August 2018 for version 1.0, and February 2019 for additions made in version 2.0).

We have a separate shapefile for each province. In each shapefile, we capture the timezone boundaries internal to the province. The idea is that those shapefiles can be combined with various base shapefiles providing the provincial boundaries. (The particular problem we want to solve is that Canada has many islands, and we prefer to not have to worry about those and the provinces they are in when dealing with timezones).

To the extent possible under law, Eric Muller has waived all copyright and related or neighboring rights to the efele.net/tz maps (comprising the shapefiles, the web pages describing them and the scripts and data used to build them).This work is published from the United States of America.

Directory: data/ bphotos.avl bphotos.dbf bphotos.shp bphotos.shx bphotos.sbn bphotos.sbx zip file usa - shapefile containing the area of the United States contained within the project view area metadata

browse graphic

If a user wishes to copy the vector data from the CD to a computer hard drive, please note that you must copy the selected files to the same directory/folder. At minimum, you must copy the 'dbf', 'shp' and 'shx' as these three files together make up the ArcView shapefile. A zip file containing all the listed shapefile components is also available.

This dataset describes individual lots in the Province of Quebec. It includes geographic files in shapefile (shp) format and attribute tables consisting of the administrative description of the lots. For a detailed description of the product, see this guide (in French only).

The STM transit geospatial data constist of bus stop locations, bus routes, metro stops, metro lines, commuter train stops and lines, in General Transit Feed Specification (GTFS) format. Bus lines and bus stops are also available in shapefile (shp) format. You can download these datasets, from the open data section of the STM webiste.

Statistics Canada publishes new boundaries for statistical analysis every 5 years to support the national census. These boundaries leverage administrative, statistical and non-standard boundaries. Canadian federal and provincial/territorial statutes or agencies generally create administrative boundaries that are adopted by Statistics Canada for the purpose of data dissemination activities. Examples include provinces, territories, health regions and federal electoral districts. Statistics Canada creates statistically boundaries to support census and survey dissemination activities. Using rules based on geographic attributes and one or more characteristics of the resident population. Population centres, economic regions and dissemination areas are examples.

Thousands of shapefile maps can be downloaded for free from the following websites, including country shapefiles, shapefiles at province or state level, and other administrative boundaries maps. The shapefile (or ESRI shapefile) format is a geospatial vector format, and is one of the most commonly used map formats.

Free country shapefile maps can be downloaded below, which have already been integrated into StatPlanet. Maps indicated with an asterisk (*) are Flash maps rather than shapefile maps. Please note that not all country versions are using the latest version of StatPlanet. To update the country version to the latest version, please see the update instructions.

1. Once you have downloaded StatPlanet, find the folder 'Shapefile_map' and then go to the sub-folder 'map'.

2. Remove the included example map files, and copy your own shapefiles here.

3. Rename your files (e.g. xxx.shp and xxx.dbf) to map.shp and map.dbf. Only these files are required.

4. Open the StatPlanet_data_editor file. Click on the button 'Setup shapefile' (in the top-left).

5. Select the map.dbf file in the 'map' sub-folder, and follow the instructions.

6. Run StatPlanet.exe or StatPlanet.html to see the results with the included sample data. 2351a5e196