Search

When dealing with spatial data or modelling in a geographical context, identifying an appropriate scale for analysis is a critical precursor; however, it is difficult to determine due to limited availability of data at an adequate spatial resolution. This paper describes a mobile monitoring method to collect spatially representative measurements of woodsmoke particulates in support of spatial modelling. A geostatistical technique is described to characterize the spatial scale of woodsmoke particulates collected for 19 evenings over two heating seasons in Victoria, British Columbia, Canada. Semivariograms were applied to 20 data sets (19 evenings and a combined data set) to characterize the appropriate spatial-analysis scale as defined by the semivariogram range, the maximum distance of spatial dependence. Typically, the semivariogram range occurred at 2673m. This method can be used to identify an optimal sampling interval for woodsmoke data collection, to define the neighbourhood size for performing spatial analyses, and to produce robust model variables and parameters by characterizing the degree of spatial autocorrelation in the data set. [Copyright &y& Elsevier]

The article presents guest editorial, published in the May 2000 issue of the periodical "IEEE Transactions on Software Engineering," vol. 26, no. 5. The Fifth International Conference on Software Reuse that was held in Victoria B.C., Canada, included papers, mini-workshops, panels, and tutorials dedicated to various aspects of the software reuse enterprise, software architecture, and reuse over the Internet. Out of the 31 papers that were presented, a select few were nominated by the program committee as representing special, innovative contributions. In addition to that the article presents information on the two papers related to major technological approaches to software reuse. The first paper, considers the problem of selecting the best realizations and algorithms for a general purpose data structure. The second paper, is concerned with the problem of adapting class libraries for specific requirements.