7 resultados para Cut and paste method
em Brock University, Canada
Resumo:
Survey map of the Second Welland Canal created by the Welland Canal Company showing the canal at Port Robinson. Identified structures and features associated with the Canal include the Deep Cut, Old Channel of Canal, and the towing path. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are also identified and include streets and roads (ex. Road to Port Allanburg), the Spoil Bank, an island, several bridges, and a church. Several unidentified structures are present but not labeled. Properties and property owners of note are: Lots 202, 203, and 204. Lot 203 is divided into several properties labeled A - J. Owners of these properties include James McCoppen, John Coulter, James Griffith, John C. Jordan, W. Hendershot, John Greer, Charles Richards, C. Stuart, and S. D. Woodruff. Other property owners include D. McFarland.
Resumo:
Purpose: The influence of environment in the development of overweight and obesity is an ongoing concern. This investigation examined the influence of urbanization on the rates of childhood overweight and obesity. Method: 2167 (1090M, 1077F) grade four children from 75 schools in Ontario's Niagara Region were sampled. A sophisticated algorithm overlaying electoral boundaries, population densities, and the knowledge of community members was used to classify schools into one of three location categories: urban {N= 1588), urban fringe {N= 379), and rural (A^= 234). Each subject was measured for: height, weight, and aerobic performance (Leger). Physical activity was evaluated with the self-report Participation Questionnaire (free-time and organized sport activities), and teacher's evaluations of student activity. Overweight (overweight and obesity combined) was measured both as a continuous (BMI) and categorical variable (BMI category), to evaluate the prevalence by location. A multivariate analysis was used to test for a suppression effect. Results: BMI and BMI category did not differ significantly by location or gender, and no evidence of a gender interaction existed. According to both a linear and logistic regression, physical activity or fitness levels did not suppress the influence of location on BMI and BMI category. Age, gender, free-time activity, organized sports, fitness level, and number of siblings, were all found to significantly influence overweight. Conclusions: It is plausible that the prevalence of overweight does not differ in urban and rural children from the Niagara Region. Further investigation is recommended, examining subjects by individual location of residence, in multiple regions throughout Ontario.
Resumo:
Survey map of the Second Welland Canal created by the Welland Canal Company showing the canal as it passes through the Village of Thorold. Identified structures associated with the Canal include Locks 23, 24, and 25, a Guard Gate, Lock House Lot, the Little Deep Cut, and the towing path. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are also identified and include streets and roads(ex. Pine Street and Front Street), a basin, a mill race, McPherson and Wier's Grist Mill, Brown and Ross Flouring Mill, R. James Store, J. Brown Cement Mill, W. B. Hendershots Store, Keefers Mill, J. Woodward Grist Mill, Brierly McWhirter and Co. Cotton Mill, E. W. Stephenson Tavern, a factory and a saw mill on W. H. Ward's property, a flouring mill, engine house, a store house, several barns, J. Brown's Wharf, and a number of structures belonging to: Jenkinson, Mrs. McCarty, John Clay, M. McDonnah, Mrs. Donahoc, W. B. Hendershott, Mrs. Pawling, and Christy. Properties and property owners of note are: Lots 8, 9, 16, and 17, W. H. Ward, J. Keefer, G. Keefer Jr., G. Keefer Sr., Dr. Rolls, W. Hendershott, Cleveland, Lucy, and R. Leeper.
Resumo:
Survey map of the Second Welland Canal created by the Welland Canal Company showing the canal in Thorold South. Identified structures associated with the Canal include the Little Deep Cut and the towing path. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are also identified and include streets and roads (ex. Road to Beaverdams and Road to Allanburgh), two unnamed bridges, the Spoil Bank, a pond, and the Back Water. Properties and property owners of note are: Lots 29 and 30, Jacob Keefer, John Brown, William Bouck, C. Gisso, and a property reserved for Bridge Tender.
Resumo:
Survey map of the Second Welland Canal created by the Welland Canal Company showing the canal in the Thorold Township just south of Allanburgh. Identified structures and features associated with the Canal include the Deep Cut and the towing path. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are also identified and include streets and roads (ex. Road to Port Robinson), and the Spoil Bank. Properties and property owners of note are: Lots 142 and 143, John J. Church, Henry Vanderburgh, and Martin Delamatter and G. Coulter.
Resumo:
Survey map of the Second Welland Canal created by the Welland Canal Company showing the canal in the Thorold Township between Allanburg and Port Robinson. Identified structures and features associated with the Canal include the Deep Cut and the towing path. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are also identified and include streets and roads (ex. Road to Port Allanburg), and the Spoil Bank. Properties and property owners of note are: Lots 185, 186, and 187, J. J. Church and H. Vanderburgh. Four properties adjacent to the canal are outlined in blue and labeled J through M, with L and K belonging to John Beatty, M belonging to John Coulter, and J belonging to G. Jordan (formerly belonging to John Coleman Jordan).
Resumo:
Remote sensing techniques involving hyperspectral imagery have applications in a number of sciences that study some aspects of the surface of the planet. The analysis of hyperspectral images is complex because of the large amount of information involved and the noise within that data. Investigating images with regard to identify minerals, rocks, vegetation and other materials is an application of hyperspectral remote sensing in the earth sciences. This thesis evaluates the performance of two classification and clustering techniques on hyperspectral images for mineral identification. Support Vector Machines (SVM) and Self-Organizing Maps (SOM) are applied as classification and clustering techniques, respectively. Principal Component Analysis (PCA) is used to prepare the data to be analyzed. The purpose of using PCA is to reduce the amount of data that needs to be processed by identifying the most important components within the data. A well-studied dataset from Cuprite, Nevada and a dataset of more complex data from Baffin Island were used to assess the performance of these techniques. The main goal of this research study is to evaluate the advantage of training a classifier based on a small amount of data compared to an unsupervised method. Determining the effect of feature extraction on the accuracy of the clustering and classification method is another goal of this research. This thesis concludes that using PCA increases the learning accuracy, and especially so in classification. SVM classifies Cuprite data with a high precision and the SOM challenges SVM on datasets with high level of noise (like Baffin Island).