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We have found 230 datasets for the keyword "économie". You can continue exploring the search results in the list below.
Datasets: 103,466
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230 Datasets, Page 1 of 23
Economy
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.
Canadian Index of Multiple Deprivation 2021
The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2021 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived.The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.*** Correction October 22, 2024 ***A correction has been made to the variables in the following downloadable 2021 CIMD index datasets : Canada, Atlantic, Quebec, Ontario, Prairies, and British-Columbia. This correction impacts all the data in these datasets.
Physiographic Regions of Canada
Canada’s landmass is very diversified and comprises 7 distinctive areas called physiographic regions, each of which has its own unique topography and geology. Physiographic regions are large areas that share similar relief and landforms shaped by common geomorphic processes and geological history. Physiographic regions are often used to describe Canada’s geography to show regional differences in climate, vegetation, population and the economy.This dataset collection contains three interrelated datasets mapping the location of Canada’s 7 different physiographic regions, their 21 subregions and many divisions (landforms).
Planning and development plan - Economy
The consolidation and enhancement of the commercial centers indicated in __map 4 — Concentrations of commercial establishments __, as well as the commercial activity of streets, axes and shopping centers should be preferred.In addition, the economic clusters represented on __map 8 — Economic clusters of the agglomeration of Montreal__ is a particularity of the Montreal region. These clusters total important employment pools and have the potential for growth and wealth creation.The data available in this set come from sections 2.1 and 2.2 of the Land Use and Development Plan of the Agglomération de Montréal.This urban planning and development plan for the agglomeration of Montreal outlines the main parameters that will guide the Montreal agglomeration council in decisions relating to land use planning in the coming years. From a perspective of sustainable development, this document guides decisions that shape the territory in order to promote compact and greener neighborhoods, to increase public and active transport travel, to support the economic dynamism of the agglomeration and to highlight areas of interest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Agricultural Ecumene Boundary File - 2001
The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2017, Ottawa.
Agricultural Ecumene Boundary File - 1996
The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Ottawa.
Growth and Yield Samples - All Status
**NOTE** This dataset is going to be replaced by the Data Catalogue layer: [Forest Inventory Ground Plots - Public Access](https://catalogue.data.gov.bc.ca/dataset/6d6d115f-4cc2-4141-909e-3344b3a72bcf) This new layer links to the updated database for all Forest Analysis and Inventory Branch ground sample plots. Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). Researchers such as GY modellers and those wanting to know the position of all samples will use the all status view to better understand the spatial distribution of historic measurement data including samples that are currently destroyed or inactive
Annual Crop Inventory
Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).
Agricultural Ecumene Boundary File - 2016
The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2017, Ottawa.
Refineries - North American Cooperation on Energy Information
Facilities that separate and convert crude oil or other feedstock into liquid petroleum products, including upgraders and asphalt refineries.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.
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