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- Articles and reports: 11-637-X202200100009Description:
As the ninth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation by 2030. This 2022 infographic provides an overview of indicators underlying the ninth Sustainable Development Goal in support of industry, innovation and infrastructure, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-12-13 - Articles and reports: 18-001-X2022001Description:
Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.
Release date: 2022-09-06 - Articles and reports: 11-633-X2022005Description:
This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).
Release date: 2022-04-19 - Articles and reports: 36-28-0001202200300005Description:
This article presents some initial findings from a new longitudinal database created from administrative data sources to study patenting in Canada. The study of patenting is important as patenting is a measure of innovative activity and has been linked to positive economic outcomes for firms.
Release date: 2022-03-23 - Articles and reports: 11-621-M2022002Description:
This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2019, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.
Release date: 2022-01-28 - Articles and reports: 18-001-X2021003Description:
Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.
Release date: 2022-01-21
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- Articles and reports: 11-637-X202200100009Description:
As the ninth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation by 2030. This 2022 infographic provides an overview of indicators underlying the ninth Sustainable Development Goal in support of industry, innovation and infrastructure, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-12-13 - Articles and reports: 18-001-X2022001Description:
Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.
Release date: 2022-09-06 - Articles and reports: 11-633-X2022005Description:
This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).
Release date: 2022-04-19 - Articles and reports: 36-28-0001202200300005Description:
This article presents some initial findings from a new longitudinal database created from administrative data sources to study patenting in Canada. The study of patenting is important as patenting is a measure of innovative activity and has been linked to positive economic outcomes for firms.
Release date: 2022-03-23 - Articles and reports: 11-621-M2022002Description:
This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2019, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.
Release date: 2022-01-28 - Articles and reports: 18-001-X2021003Description:
Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.
Release date: 2022-01-21
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