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Kamloops, Canada

Thompson Rivers University is a university located in Kamloops, British Columbia, Canada. The enabling legislation is the Thompson Rivers University Act. While the main campus is located in Kamloops, there is a second campus in Williams Lake and the university's Open Learning Division distance learning service maintains an examination and resource facility in downtown Vancouver. Wally Oppal is the Chancellor of TRU. Wikipedia.

Hill D.J.,Thompson Rivers University
Environmental Modelling and Software | Year: 2013

Radar-rainfall data are being used in an increasing number of real-time applications because of their wide spatial and temporal coverage. Because of uncertainties in radar measurements and the relationship between radar measurements and rainfall on the ground, radar-rainfall data are often combined with rain gauge data to improve their accuracy. However, while rain gauges can provide accurate estimates of rainfall, their data are sometimes corrupted with errors caused by the environment in which the gauges are deployed. This study develops a real-time method for identifying measurement errors in rain gauge data streams. This method employs a dynamic Bayesian network (DBN) model of the rain gauge data stream to sequentially forecast the next rain gauge measurement from both the rain gauge and weather radar data streams and a decision rule-based classifier to identify data errors. Because of the uncertainty in the relationship between the radar and rainfall measurements, this method uses a statistical learning method (expectation maximization) to determine the best parameters for this relationship, given an adaptively sized moving window of previous measurements. The performance of the error detector developed in this study is demonstrated using a precipitation sensor network composed of five telemetered tipping bucket rain gauges and a WSR-88D weather radar. Through an analysis using synthetic errors, the false alarm rate and false negative rate were calculated to be 0.90% and 1.5%, respectively. © 2012 Elsevier Ltd. Source

Ernst B.W.,Thompson Rivers University
Landscape Ecology | Year: 2014

Habitat connectivity is an essential component of biodiversity conservation. Simulated landscapes were manipulated to quantify the impact of changes to the amount, fragmentation and dispersion of habitat on a widely applied landscape connectivity metric, the probability of connectivity index. Index results for different landscape scenarios were plotted against the dispersal distances used for their calculation to create connectivity response curves for each scenario. Understanding index response to controlled changes in landscape structure at a range of spatial scales can be used to give context to comparison of alternative landscape management scenarios. Increased amounts of habitat, decreased fragmentation and decreased inter-patch distances resulted in increased connectivity index values. Connectivity response curves demonstrated increases in assessed connectivity for scenarios with continuous corridors or "stepping stone" connectors. The sensitivity of connectivity response curves to controlled changes in landscape structure indicate that this approach is able to detect and distinguish between different types of landscape changes, but that delineation of habitat and method of quantifying dispersal probability incorporate assumptions that must be recognized when interpreting results to guide landscape management. Representing landscape connectivity in this manner allows for the impacts of alternative landscape management strategies to be compared visually through comparative plots, or statistically through the parameters that describe connectivity response curves. © 2014 Springer Science+Business Media Dordrecht. Source

The maintenance of habitat connectivity is promoted as a method of biodiversity conservation in forest management. Graph based metrics have demonstrated efficacy at deriving landscape scale connectivity metrics from habitat maps. The response of a graph-based connectivity metric to changes in the size of gaps considered to fragment habitat is proposed as a method of quantifying the impacts of changes in landscape composition on connectivity across a range of spatial scales. The parameters that describe this relationship are proposed as indices to quantify changes in the amount, fragmentation and spatial dispersion of habitat in a landscape. Systematic manipulations of landscape structure demonstrated response curve sensitivity to the impacts of forestry that are predicted by the literature to affect habitat connectivity. The response to controlled manipulations of landscape structure was used to guide an examination of the efficacy of distributing habitat reserves as corridors to mitigate the impacts of forestry on landscape connectivity. I conclude that the parameters that describe the relationship between spatial scale and the probability of connectivity index values can be used to compare the impacts of alternative forest management strategies on landscape connectivity, distributing conservation areas as corridors resulted in minimal benefits to landscape connectivity, and that the benefits of corridors were further reduced when natural disturbances were included in model simulations. © 2013 Elsevier B.V. Source

The purpose of this review is to determine what we currently know about faculty bullying of nursing students during undergraduate clinical experiences. The review included 31 peer-reviewed articles and dissertations investigating faculty bullying of nursing students and those factors which can influence the phenomenon. A significant finding of this review is that faculty bullying of students arises out of complex contextual influences involving the practice setting, as well as perceptions and coping strategies of both faculty members and students. This belies the current understanding of bullying within nursing education as intentional, and arising from the personal pathologies of the teacher or student. This has implications for clinical faculty members as well as Schools of Nursing. As well, it highlights future directions for research, including interventions to decrease faculty bullying of students. © 2013 Elsevier Ltd. Source

Hill D.J.,Thompson Rivers University
GIScience and Remote Sensing | Year: 2013

This article explores spatial modeling of daily minimum and maximum air temperatures using data from both ground-based, embedded sensors and remote sensors. Eleven models of min/max air temperature were developed ranging from simple proximity-based models to more complicated models that combine spatial similarity, temporal trends, and remotely sensed observations. These models are compared based on their accuracy, using a case study comprising data from the state of New Jersey. The results show that nearest neighbor and inverse distance weighted models based solely on land-based measurements are superior to models that include remotely sensed land surface temperature even when the gauge network is very sparse. © 2013 Taylor & Francis. Source

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