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Description:

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.

Description:

This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.

Description: The Open Database of Buildings (ODB) is a collection of open data on buildings, primarily building footprints, originating from municipal, regional, and provincial governments. It is a centralized and harmonized repository of building data made available under the Open Government License - Canada. This exploratory initiative aims to contribute to the creation of a complete, comprehensive and open database of buildings in Canada. The current version (version 2.0) of the ODB contains approximately 4.4 million building footprints collected from seven provinces and one territory. These files are made available for download as zipped shapefiles.

Description:

This publication contains annual data, at July 1, for Canada and the provinces: from 1926 to date for the value of farm capital; from 1921 to date for the value per acre of farm land and buildings; and from 1986 to date for the value per head of livestock and poultry. Data highlights, concepts and methods are also included.

In May, annual measures for the previous two calendar years are subject to revision. In November, estimates for the previous three years may be revised. Every five years a historical revision is done, based on the results of the Census of Agriculture. Although the data are available in late May and late November, the publication is not completed and released until the following July and January, respectively.

Note to readersData in the following tables was changed on December 2, 2008:Tables 1-4, 1-5 and Table 2

Description:

Settlements are important hubs for residential, commercial and industrial activity, however, the size, structure and form of settlements over time can have a variety of social, economic and environmental implications. Statistics Canada has developed a new concept and dataset to delineate or map boundaries for Canada's settlements. This article presents some of the early geographic results of this project.

Description:

This technical paper outlines the methodology used to delineate boundaries for Canada's settlements.

Description:

This study provides a first look at recent trends in the average age of education buildings in Canada and the provinces. It compares the average age with the useful life of education buildings at the elementary-secondary, college and university levels.

Description:

Cycles in business investment are a key determinant of overall growth, as they are longer-lasting and stronger than in other sectors. Canada is currently in the early stages of an upturn in investment, driven by the revival of the resource sector.

Description:

New firms are seen to play a key role in the innovation process, especially in certain key sectors of the economy. This study therefore examines the differences in the profiles of successful new firms in science-based industries and other industries. The firms that are examined are entrants who survey into their early teen years. The study examines numerous factors that are seen to influence the success of new businesses. These include the competitive environment, business strategies and the financial structure of the businesses.

Successful new firms in science-based industries are found to differ in a number of dimensions from new firms in other industries. They are more likely to be exporters. They face greater technological change and intense competition with regards to the rate at which new products are being introduced. They tend to put more emphasis on quality, the frequent introduction of new products and the customization of products. They make greater use of information technology. They place more stress on new technology development, research and development facilities and the use of intellectual property. They are much more likely to innovate and they place more importance on recruiting skilled labour and on training. Finally, they are more likely to use non-traditional financial measures to evaluate performance and they are less likely to rely on secured credit for financing both their research and development activity and their machinery and equipment that are firms in other sectors.

Description: The Open Database of Buildings (ODB) is a collection of open data on buildings, primarily building footprints, originating from municipal, regional, and provincial governments. It is a centralized and harmonized repository of building data made available under the Open Government License - Canada. This exploratory initiative aims to contribute to the creation of a complete, comprehensive and open database of buildings in Canada. The current version (version 2.0) of the ODB contains approximately 4.4 million building footprints collected from seven provinces and one territory. These files are made available for download as zipped shapefiles.

Description:

This publication contains annual data, at July 1, for Canada and the provinces: from 1926 to date for the value of farm capital; from 1921 to date for the value per acre of farm land and buildings; and from 1986 to date for the value per head of livestock and poultry. Data highlights, concepts and methods are also included.

In May, annual measures for the previous two calendar years are subject to revision. In November, estimates for the previous three years may be revised. Every five years a historical revision is done, based on the results of the Census of Agriculture. Although the data are available in late May and late November, the publication is not completed and released until the following July and January, respectively.

Note to readersData in the following tables was changed on December 2, 2008:Tables 1-4, 1-5 and Table 2

Description:

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.

Description:

This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.

Description:

Settlements are important hubs for residential, commercial and industrial activity, however, the size, structure and form of settlements over time can have a variety of social, economic and environmental implications. Statistics Canada has developed a new concept and dataset to delineate or map boundaries for Canada's settlements. This article presents some of the early geographic results of this project.

Description:

This study provides a first look at recent trends in the average age of education buildings in Canada and the provinces. It compares the average age with the useful life of education buildings at the elementary-secondary, college and university levels.

Description:

Cycles in business investment are a key determinant of overall growth, as they are longer-lasting and stronger than in other sectors. Canada is currently in the early stages of an upturn in investment, driven by the revival of the resource sector.

Description:

New firms are seen to play a key role in the innovation process, especially in certain key sectors of the economy. This study therefore examines the differences in the profiles of successful new firms in science-based industries and other industries. The firms that are examined are entrants who survey into their early teen years. The study examines numerous factors that are seen to influence the success of new businesses. These include the competitive environment, business strategies and the financial structure of the businesses.

Successful new firms in science-based industries are found to differ in a number of dimensions from new firms in other industries. They are more likely to be exporters. They face greater technological change and intense competition with regards to the rate at which new products are being introduced. They tend to put more emphasis on quality, the frequent introduction of new products and the customization of products. They make greater use of information technology. They place more stress on new technology development, research and development facilities and the use of intellectual property. They are much more likely to innovate and they place more importance on recruiting skilled labour and on training. Finally, they are more likely to use non-traditional financial measures to evaluate performance and they are less likely to rely on secured credit for financing both their research and development activity and their machinery and equipment that are firms in other sectors.

Description:

This technical paper outlines the methodology used to delineate boundaries for Canada's settlements.